643 Data Engineering jobs in the United Kingdom

Data Engineer - Hybrid (Central Birmingham) - 50,000 - 55,000 + great benefits

I'm looking for an experienced Data Engineer for a leading, national business. They are looking for someone who is keen to get involved in companywide, data focused projects working with modern data tools. They need someone who is an all-rounder, able to work as part of a team but also independently at times.

You'll be joining an established team in the middle of a companywide digital transformation. They are working to move to Snowflake environment, changing the way data is used across the business. You'll be building pipelines to support reporting tools and involved in a wide range of hands-on work.

As they Data Engineer, you'll be :

• Building and maintaining data pipelines (ETL/ELT) for Snowflake.
• Working with large datasets and integrating data from APIs, CSV files, and SQL Server.
• Supporting reporting tools like Power BI and SSRS.
• Helping design and maintain a scalable data warehouse.
• Collaborating with other teams to improve how data is stored, processed, and used.
• Supporting data governance and privacy efforts.
• Translating technical ideas into clear, practical solutions.

What we need from the successful Data Engineer:

• At least 3 years of experience in a Data Engineering role.
• Solid experience with Snowflake and Azure.
• Strong SQL skills and experience building ETL processes.
• Comfortable working with complex data flows and models.
• Someone who enjoys working with others and sharing ideas.

Benefits for the Data Engineer:

• Opportunities to learn and grow through training.
• 28 days holiday + bank holiday
• Health and wellbeing support, including free GP access and a health cash plan.
• Enhanced maternity pay and family-friendly benefits.
• Discounts on gym memberships, car leasing, and mortgage services.
• Pension scheme and employee savings programmes.
• Access to a Health Toolkit with fitness, nutrition, and health resources.

If you are interested in this position please click 'apply'.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Data Engineer - Hybrid (Central Birmingham) - £50,000 - £55,000 + great benefits

I'm looking for an experienced Data Engineer for a leading, national business. They are looking for someone who is keen to get involved in companywide, data focused projects working with modern data tools. They need someone who is an all-rounder, able to work as part of a team but also independently at times.

You'll be joining an established team in the middle of a companywide digital transformation. They are working to move to Snowflake environment, changing the way data is used across the business. You'll be building pipelines to support reporting tools and involved in a wide range of hands-on work.

As they Data Engineer, you'll be :

• Building and maintaining data pipelines (ETL/ELT) for Snowflake.
• Working with large datasets and integrating data from APIs, CSV files, and SQL Server.
• Supporting reporting tools like Power BI and SSRS.
• Helping design and maintain a scalable data warehouse.
• Collaborating with other teams to improve how data is stored, processed, and used.
• Supporting data governance and privacy efforts.
• Translating technical ideas into clear, practical solutions.

What we need from the successful Data Engineer:

• At least 3 years of experience in a Data Engineering role.
• Solid experience with Snowflake and Azure.
• Strong SQL skills and experience building ETL processes.
• Comfortable working with complex data flows and models.
• Someone who enjoys working with others and sharing ideas.

Benefits for the Data Engineer:

• Opportunities to learn and grow through training.
• 28 days holiday + bank holiday
• Health and wellbeing support, including free GP access and a health cash plan.
• Enhanced maternity pay and family-friendly benefits.
• Discounts on gym memberships, car leasing, and mortgage services.
• Pension scheme and employee savings programmes.
• Access to a Health Toolkit with fitness, nutrition, and health resources.

If you are interested in this position please click 'apply'.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Job Tenure: Permanent
Salary: 28+bank, health & wellbeing + more
Location: Birmingham, West Midlands

Our talented Data Engineering team is made up of globally recognised experts - and there's room for more analytical, innovative, client-driven data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
Come join us
As a member of the Data Engineering team, you'll have access to the research, knowledge, and tools to create leading-edge solutions across Avanade's Data & AI practice. The role of Data Engineer is perfect for ambitious technologists passionate about working with the latest Microsoft Fabric and / or Azure Databricks technologies to deliver modern, highly scalable data platforms for all our client's analytics and AI needs. Our clients look to us for innovation, which means you'll have early access to the latest technologies so you can master them and stay ahead of the curve.
Together we do what matters.
What you'll do
* Design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies
* Evangelise and evolve best practices for our clients and our team including to mentor your colleagues, supporting their personal development
* Constantly developing technical skills in the latest Azure and Databricks technologies - achieving & maintaining relevant certifications
* Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors
Skills and experiences
* Demonstrable end-to-end experience in Data Engineering, including large-scale projects
* Experience in working with the latest Azure technologies, such as; Databricks, Microsoft Fabric, Data Factory, Azure Data Lake Storage (Gen 2), Purview, Cosmos DB, Open AI, Azure ML, AI Foundary, Kubernetes,
* Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL
* Confident communicator who is able to explain technical terms to non-technical audiences and mentor junior colleagues
* Leads small development teams: track work, manage assignments, manage capacity, etc.
About you
Characteristics that can spell success for this role
* Analytical, curious, agile
* Team player and good communicator
* Problem-solver, patient, quality-driven
* Self-motivating
* Innovative mindset
Enjoy your career
Some of the best things about working at Avanade
* Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
* Real-time access to technical and skilled resources globally
* Collaborate with some of the brightest "Microsoft minds"
* Build your expertise, solve problems, learn, and develop
Find out more about some of our benefits here.
A great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look!
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page.
Create a future for our people that focuses on
- Expanding your thinking - Experimenting courageously - Learning and pivoting
Inspire greatness in our people by
- Empowering every voice - Encouraging boldness - Celebrating progress
Accelerate the impact of our people by
- Amazing the client - Prioritizing what matters - Acting as one
Learn more
To learn more about the types of projects our Data Engineering team works on check out these case studies:
* thyssenkrupp Materials Services uses data to help strike a delicate operational balance
* What matters to SSE Renewables is innovating for a sustainable future
Interested in knowing what's going on inside Avanade? Check out our blogs:
* Avanade Insights - exchange ideas that drive tomorrow's innovation
* Inside Avanade - explore what life is like working at Avanade
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.

Data Engineering Lead
Do you enjoy Team Management?
Are you a team player?
About Us
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society . Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice . At Elsevier, your work contributes to the world's grand challenges and a more sustainable future . We harness innovative technologies to support science and healthcare to partner for a better world.  
The Team
The Enterprise Data Platforms and Services (EDPS) team are a central technology group responsible for building, administering, govern ing , and setting global standards for a growing number of Elsevier strategic data platforms and services . The capabilities we are responsible for enable data to be collected, accessed, processed and integrated across a wide range of digital business solutions , used by functions including billing and order management, customer and product master data management , and business analytics and insights delivery . Due to our footprint across the enterprise , we are relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes .
This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s that enables a connected collection of enterprise-ready time saving services , applying a self-service first approach . Our mission is to enable frictionless experiences for all Elsevier c olleagues, so that they can openly and securely consume and produce trustworthy data, enhancing everyday colleague and customer interactions and decisions.
The Role
As the Software Engineering Lead , you will be responsible for nurturing a high performing cross- functional squad of software and data engineers . This squad is responsible for a growing number of strategic capabilities and components that serve a large number of engineering , d ata science, and analytics use cases and stakeholders . You will be expected to be the technical subject matter expert overseeing the squad building an Enterprise Data Platform that support s both operational and analytical use cases.
In practice, this will mean combining your technical expertise with strong stakeholder engagement to build a deep understanding of business needs when design ing a technical solution that is fit-for-purpose . To be successful, you need to understand user requirements and map diverse user interactions with the various platform components to inform your implementation decisions . Y ou will be expected to collaborate closely with other technology teams to ensure that we are driving a culture of contributing towards shared services .
Your success will be primarily measured by demonstrable increases in the number of teams adopting and contributing to the platform capabilities and shared repositories we provision, and clear improvements in technical efficiency /value gains .
Key Responsibilities and Accountabilities:
+ Accountable for team performance - manage a high performing agile delivery squad , ensuring you nurture team skills, trust , and relationships through coaching and mentoring .
+ Accountable for releases - set technical development and coding standards that make up a robust and mature SDLC, and review team release s to guarantee these are met.
+ Accountable for shared services - build common frameworks and patterns that can be easily reused, contributed to, and reliably deployed by other teams via self-service.
+ Accountable for best practices - establish component specific guidelines in collaboration with your team, wider engineering team s , architecture , end-users, data product owners, and enablement teams, to promote these through regular knowledge sharing sessions.
+ Accountable for operational efficiency - drive improvements in efficien cy , reliab ility , and scala bility supported by logging , monitoring and observability as a foundational capability.
+ Responsible for adoption - promote the platform capabilities through technical communities of practice leadership, high internal standards for documented processes and internal guides, an d take steps to capture and action user feedback.
+ Responsible for platform evolution - collaborate with key stakeholder groups to analyse and identify capability gaps, and drive discussions required to make a case for change .
+ Responsible for technical governance - establish and manage the technical design authority process for each capability to successfully govern self-service use of the platform .
Essential Skills & Experience :
+ Team leadership - driven line manager and technical lead, deeply interested in coaching and mentoring, to motivat e cross functional squads to deliver complex technical initiatives.
+ Software development lifecycle (SDLC) - applied understanding of SDLC best practices, having delivered improvements in previous teams' SDLC and DataOps /DevOps maturity.
+ Agile delivery - facilitat ing ceremonies , removing impediments, coordinat ing requirements refinement to ensure tasks are achievable , and driv ing a culture of iterative improvemen t.
+ Modern data stack - hands-on deploy ment and govern ance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran , Airflow, AWS , GitHub, Terraform, etc ) for self-service workloads .
+ Coding languages - deployable and reusable Python , Java S cript , and Jinja templating languages for ETL / ELT data applications , data pipelines , and stored procedures.
+ Thought leadership and influencing - deep interest in data platforms landscape to build well-articulated proposals that are supported by strong research, value delivery , and previous success in driving but also adopting change.
+ Solution design and architecture - apt at creating comprehensive technical design documents, including architecture and infrastructure artifacts, to support scalable, secure, and efficient data platforms , ensuring reliable data flow s from ingestion to consumption .
+ AWS cloud ecosystem - deep knowledge of AWS data and analytics services and the infrastructure required for production grade data solutions and applications .
+ Prioritisation - a daptable to changing needs within the organi s ation with a professional, flexible and pragmatic response to rapidly evolving priorities, while mitigat ing impacts.
+ Data and technology governance - knowledgeable in applying data management, data privacy and data security practices at scale to ensure platform use is compliant .
Work in a way that works for you  
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and long-term goals.  
+ Working remotely from home or in our office in a flexible hybrid style 
+ Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive 
Working with us  
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.  
Working for you  
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:  
+ Generous holiday allowance with the option to buy additional days 
+ Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year  
+ Health screening, eye care vouchers and private medical benefits 
+ Wellbeing programs 
+ Life assurance 
+ Access to a competitive contributory pension scheme 
+ Long service awards 
+ Save As You Earn share option scheme 
+ Travel Season ticket loan 
+ Maternity, paternity and shared parental leave 
+ Access to emergency care for both the elderly and children 
+ RELX Cares days, giving you time to support the charities and causes that matter to you 
+ Access to employee resource groups with dedicated time to volunteer 
+ Access to extensive learning and development resources 
+ Access to employee discounts via Perks at Work 
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
---
Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: , or please contact .
Please read our Candidate Privacy Policy ( .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Data Engineering Lead
Do you enjoy Team Management?
Are you a team player?
About Us
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society . Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice . At Elsevier, your work contributes to the world's grand challenges and a more sustainable future . We harness innovative technologies to support science and healthcare to partner for a better world.  
The Team
The Enterprise Data Platforms and Services (EDPS) team are a central technology group responsible for building, administering, govern ing , and setting global standards for a growing number of Elsevier strategic data platforms and services . The capabilities we are responsible for enable data to be collected, accessed, processed and integrated across a wide range of digital business solutions , used by functions including billing and order management, customer and product master data management , and business analytics and insights delivery . Due to our footprint across the enterprise , we are relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes .
This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s that enables a connected collection of enterprise-ready time saving services , applying a self-service first approach . Our mission is to enable frictionless experiences for all Elsevier c olleagues, so that they can openly and securely consume and produce trustworthy data, enhancing everyday colleague and customer interactions and decisions.
The Role
As the Software Engineering Lead , you will be responsible for nurturing a high performing cross- functional squad of software and data engineers . This squad is responsible for a growing number of strategic capabilities and components that serve a large number of engineering , d ata science, and analytics use cases and stakeholders . You will be expected to be the technical subject matter expert overseeing the squad building an Enterprise Data Platform that support s both operational and analytical use cases.
In practice, this will mean combining your technical expertise with strong stakeholder engagement to build a deep understanding of business needs when design ing a technical solution that is fit-for-purpose . To be successful, you need to understand user requirements and map diverse user interactions with the various platform components to inform your implementation decisions . Y ou will be expected to collaborate closely with other technology teams to ensure that we are driving a culture of contributing towards shared services .
Your success will be primarily measured by demonstrable increases in the number of teams adopting and contributing to the platform capabilities and shared repositories we provision, and clear improvements in technical efficiency /value gains .
Key Responsibilities and Accountabilities:
+ Accountable for team performance - manage a high performing agile delivery squad , ensuring you nurture team skills, trust , and relationships through coaching and mentoring .
+ Accountable for releases - set technical development and coding standards that make up a robust and mature SDLC, and review team release s to guarantee these are met.
+ Accountable for shared services - build common frameworks and patterns that can be easily reused, contributed to, and reliably deployed by other teams via self-service.
+ Accountable for best practices - establish component specific guidelines in collaboration with your team, wider engineering team s , architecture , end-users, data product owners, and enablement teams, to promote these through regular knowledge sharing sessions.
+ Accountable for operational efficiency - drive improvements in efficien cy , reliab ility , and scala bility supported by logging , monitoring and observability as a foundational capability.
+ Responsible for adoption - promote the platform capabilities through technical communities of practice leadership, high internal standards for documented processes and internal guides, an d take steps to capture and action user feedback.
+ Responsible for platform evolution - collaborate with key stakeholder groups to analyse and identify capability gaps, and drive discussions required to make a case for change .
+ Responsible for technical governance - establish and manage the technical design authority process for each capability to successfully govern self-service use of the platform .
Essential Skills & Experience :
+ Team leadership - driven line manager and technical lead, deeply interested in coaching and mentoring, to motivat e cross functional squads to deliver complex technical initiatives.
+ Software development lifecycle (SDLC) - applied understanding of SDLC best practices, having delivered improvements in previous teams' SDLC and DataOps /DevOps maturity.
+ Agile delivery - facilitat ing ceremonies , removing impediments, coordinat ing requirements refinement to ensure tasks are achievable , and driv ing a culture of iterative improvemen t.
+ Modern data stack - hands-on deploy ment and govern ance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran , Airflow, AWS , GitHub, Terraform, etc ) for self-service workloads .
+ Coding languages - deployable and reusable Python , Java S cript , and Jinja templating languages for ETL / ELT data applications , data pipelines , and stored procedures.
+ Thought leadership and influencing - deep interest in data platforms landscape to build well-articulated proposals that are supported by strong research, value delivery , and previous success in driving but also adopting change.
+ Solution design and architecture - apt at creating comprehensive technical design documents, including architecture and infrastructure artifacts, to support scalable, secure, and efficient data platforms , ensuring reliable data flow s from ingestion to consumption .
+ AWS cloud ecosystem - deep knowledge of AWS data and analytics services and the infrastructure required for production grade data solutions and applications .
+ Prioritisation - a daptable to changing needs within the organi s ation with a professional, flexible and pragmatic response to rapidly evolving priorities, while mitigat ing impacts.
+ Data and technology governance - knowledgeable in applying data management, data privacy and data security practices at scale to ensure platform use is compliant .
Work in a way that works for you  
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and long-term goals.  
+ Working remotely from home or in our office in a flexible hybrid style 
+ Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive 
Working with us  
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.  
Working for you  
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:  
+ Generous holiday allowance with the option to buy additional days 
+ Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year  
+ Health screening, eye care vouchers and private medical benefits 
+ Wellbeing programs 
+ Life assurance 
+ Access to a competitive contributory pension scheme 
+ Long service awards 
+ Save As You Earn share option scheme 
+ Travel Season ticket loan 
+ Maternity, paternity and shared parental leave 
+ Access to emergency care for both the elderly and children 
+ RELX Cares days, giving you time to support the charities and causes that matter to you 
+ Access to employee resource groups with dedicated time to volunteer 
+ Access to extensive learning and development resources 
+ Access to employee discounts via Perks at Work 
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
---
Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: , or please contact .
Please read our Candidate Privacy Policy ( .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

The Data Engineering Manager is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business.

With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer retention rates, and drive operating efficiencies across the business.

The primary goals of the team are:

- To build and run an data platform which can create and deliver analytics to colleagues and deliver reporting and business insights

- Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets

- To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data

Main Responsibilities:

Lead a team of Data Engineers and Analysts to build and operate the Data and Analytics platform for Rentokil Initial.

This role will be pivotal to:

● Defining data principles, data architecture and data governance for the data platform

● Delivering data quality assessments and improvement plans

● Directly and indirectly, delivering key reports and analytical insight to a wide variety of stakeholders

● Supporting the data agenda with platform reporting and strategy Enable the Data Community across Rentokil Initial to get value from data and to empower local Data discovery & insights, using a self-serve framework

• Catalogue & Communicate the Data platform data sets available for use to digital product teams
• Develop report automation use cases demonstrating how migrating from traditional method improves quality of data and improves efficiency
• Explore key innovation initiatives with the business to help reimagine how we use data and find the value in our data
• Collaborate across the organisation to build solutions that serve multiple areas of the business
• Accountable for performance of 3rd party suppliers providing data analysis delivery services

Requirements

Previous experience leading a team of Software Engineers, taking responsibility for their personal development and coaching them on the behaviors needed for success.

● Prior experience of scaling/growing technology teams

● Technical leadership experience, architecting, designing and leading a team through complex software delivery projects to deliver great business outcomes

● Good understanding and track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.

● Excellent communication skills, capable of talking to people across IT and business, as well as to stakeholders at various levels of the company,

● Advanced experience in designing and creating data models

● Strong with SQL for data interrogation and transformation, a robust understanding of relational data and the ability to manipulate fact data along multiple dimensions.

● Experience with deploying solutions in Cloud (Azure, AWS, GCP), ideally GCP

● Overall business intelligence knowledge

● Experience using ETL tools to deliver data integration for batch and streaming use cases

● Willingness to self-study and learn new skills to handle any upcoming tasks,

● Hands-on experience of modern software CI/CD techniques to automate the build and deployment of data solutions

● Use of source code version control (e.g. Git, Bitbucket)

● Desirable to have experience in the exploitation of real-time processing frameworks (e.g., Apache Spark or Apache Beam) and associated business use cases

● Desirable to have experience working with BigQuery, Java and/or Python

● Experience working with and adhering to Information Security standards, support procedures and incident response

● Strong prioritisation and communication skills

Benefits

• Competitive salary and bonus scheme
• Hybrid working
• Rentokil Initial Reward Scheme
• 23 days holiday, plus 8 bank holidays
• Employee Assistance Programme
• Death in service benefit
• Healthcare
• Free parking

At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.

We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to ( ) if you need anything

Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out. 

Ford Credit Europe is looking for a Director of Data Engineering to lead our European data engineering practice and play a pivotal role in our cloud transformation journey. This is a unique opportunity to shape the future of our data platforms, working closely with global teams and senior stakeholders.
You'll lead a team of engineers and consultants to deliver scalable, secure, and efficient data pipelines on Google Cloud Platform (GCP), supporting both internal and regulatory reporting needs. You'll also represent the data engineering function in executive forums and governance councils.
+ Design and implement production-grade data engineering solutions on GCP.
+ Collaborate with global teams to align with Ford's enterprise data engineering standards.
+ Manage third-party suppliers and applications supporting data engineering.
+ Drive AI adoption across Ford Credit Europe in partnership with global AI leadership
**The minimum requirements we seek:**
+ Extensive experience in data engineering, data warehousing, and ETL development.
+ Proven leadership of engineering teams and external consultants.
+ Deep expertise in GCP (or similar cloud platforms) and services for data processing and storage.
+ Strong SQL skills and experience with Terraform, Airflow, and containerized microservices.
+ Excellent communication and stakeholder management skills.
**Our preferred requirements:**
+ GCP Professional Certification (e.g., Professional Data Engineer).
+ Experience in regulated financial environments.
+ Proficiency in Python, Java, or Apache Beam.
+ Familiarity with data governance and tools like Wolters Kluwer.
+ Experience deploying AI tools in production.
**Additional Information:**
_The Company is committed to diversity and equality of opportunity for all and is opposed to any form of less favourable treatment or harassment on the grounds of race, religion or belief, sex, marriage and civil partnership, pregnancy and maternity, age, sexual orientation, gender reassignment or disability_
_This position is based in Dunton, and it is expected the successful candidate will be able to attend the Dunton office for typically 4 days a week and remain flexible on the days they are required to attend the office according to business requirements._
_As part of our pre-employment checks process, successful candidates will be required to undergo a criminal record check. This will be conducted in line with the Rehabilitation of Offenders Act 1974 and applied only to unspent convictions._
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**Requisition ID** : 45292

Principal Data Engineering Consultant

We are seeking a contract Principal Data Consultant with strong technical expertise, in particular with Databricks experience and client-facing experience. The ideal candidate will lead the delivery of modern data solutions across multiple projects, leveraging Azure and Databricks technologies in an agile environment.

Core Requirements

• Cloud & Data Engineering: A.

WHJS1_UKTJ

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to

Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description.nlife-changing medicines for people with serious diseases — often with limited or nonWe have a diverse portfolio of marketed medicines, including leadingntherapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments.nOur patient-focused and science-driven approach powers pioneering research and developmentnadvancements across our robust pipeline of innovative therapeutics in oncology andnneuroscience. Jazz is headquartered in Dublin, Ireland with research and developmentnlaboratories, manufacturing facilities and employees in multiple countries committed tonserving patients worldwide. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics.nLead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform.nCreate and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools.nBuild and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift.nBuild and maintain standard data models.nOwn data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines.nImplement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements.nCreate and maintain documentation for data processes, architectures, and workflows.nImplement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI).nSupport collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model.nMaintain compliance with data privacy regulations such as HIPAA, GDPRnMay be required to develop, deliver or support data literacy training across R&D.nExpert knowledge of data engineering tools such as Python, R and SQL for data processing.nExpert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.nExpert proficiency with relational databases.nStrong background in data modeling and database design.nStrong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Experience with one or more RnD research process and associated regulatory requirements.nExposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).nExperience to big data technologies and handling.nKnowledge of machine learning operations (MLOps) and model deployment.nExperience working in an Agile development environment.nBachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferredn~5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data

Occasional mobility within office environmentnConstantly operating a computer, printer, telephone and other similar office machinerynJazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.nThe successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation.n