530 Data Engineering jobs in the United Kingdom

Role: Data Engineering Manager

Salary: £65,000- £5,000 per annum

Location: Leeds (One day on site).

VIQU have partnered with a leading supply chain organisation who are looking to expand their data teams. The Data Engineering Manager will manage a team of eight to help with an on-going digital transformation. The ideal candidate will come from a technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. 

Job duties of the Data Engineering Manager: 

• Manage a team of eight engineers, helping to mentor and coach the team.
• Manage  the adoption of automated CI/CD pipelines.
• Implement a new delivery roadmap.
• Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience).
• Cost optimisation.
• Establish data governance frameworks for secure handling of delivery information.

Requirements of the Data Engineering Manager:

• 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams.
• Deep knowledge of the Databricks platform.
• Hands on Python development experience.
• SQL optimisation.
• Experience with large scale data pipeline optimisation.
• Experience with Streaming and Batch Spark workloads.
• Strong people management skills.

Role: Data Engineering Manager

Salary: £65 00- 5,000 per annum

Location: Leeds (One day on site).

To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Jack McManus on (url removed).

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1, 0 once your referral has successfully started work with our client (terms apply).

To be the first to hear about other exciting opportunities, technology, and recruitment news, please also follow us at ‘VIQU IT Recruitment’ on LinkedIn, and Twitter: @VIQU_UK

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 1- .
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 1- .
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 Analyst

Duration: 6 Months (potential to extend)

Location: Leeds or Edinburgh (Hybrid – 2 days per week in-office)

About the Role:

We’re looking for an experienced Data Engineering Analyst to join our team on a 6-month contract. In this role, you'll be instrumental in shaping our data infrastructure, enabling seamless data flows, and delivering actionable insights through advanced analytics and visualization.

What You’ll Be Doing:

• Design, build, and maintain data pipelines using GCP technologies such as BigQuery, Cloud Storage, and Cloud Dataflow
• Develop insightful dashboards and reports in Power BI to support key business decisions
• Write efficient, scalable Python code for data transformation and analysis
• Collaborate across teams to gather requirements and deliver data solutions
• Troubleshoot and optimize existing data systems for performance and scalability

What We’re Looking For:

• Experience in data engineering, data analysis, or a related discipline
• Proven hands-on expertise with GCP services (BigQuery, Cloud Storage, Dataflow)
• Proficiency in Power BI for creating reports and dashboards
• Strong Python skills, including experience with data libraries like Pandas and NumPy
• Solid background in ETL processes, data pipeline design, and data warehousing
• Detail-oriented with excellent problem-solving and communication skills

Nice to Have:

• Knowledge of data governance, quality, and security best practices
• Experience working in Agile environments and using Git for version control

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

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._
#LI-SN2 #FordCredit
**Requisition ID** : 45292