91 Etl Engineer jobs in the United Kingdom

Senior Software Engineer - ETL Pipeline Orchestration Platform





Location





London





Business Area





Engineering and CTO





Ref #










**Description & Requirements**



Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to capital markets. Bloomberg's Data Technology Infrastructure Department designs and builds large-scale platforms to acquire financial reference and pricing data globally from various sources, delivering billions of data points daily to clients for investment analysis.



The ETL Pipeline Orchestration Platform team owns a low code platform that helps engineers and analysts author and manage data transformation, derivation, validation and database loading themselves. As adoption accelerates, we are redesigning key components to support further throughput and resiliency while maintaining the availability of the system.



**Whatu2019s in it for you?**



We are the connecting tissue across the various core capabilities offered by our sibling teams. If you join our team, you will be working on solving the fundamental problems in event-driven orchestration systems using both open source technologies as well as in-house ones. We are a multi-lingual team taking care of python applications, performant queue broker in Go to C-based Python extensions and everything in between. If you have a knack for distributed systems or a love for orchestration platforms, join us!



**Future Initiatives**



**We would like to work on the following in this year and next:**


Develop, deploy and integrate our internal priority queue system to mitigate head-of-line blocking issues and optimize the time to market for the most important tasks
Deprecate the on-cloud orchestration system by unifying with on-prem system
Component registration / management faculty to make the onboarding processing easier for the service owners
Introduce multi-tenancy with granular privileging for both pipeline creation and edit time as well as runtime
Better support and capability for creation of DAG in orchestration
Programmatic recipe creation, modification and interaction to be API first
LLM integration to assist in authoring ETL tasks



**Weu2019ll trust you to:**


Work with us to design the user-friendly, fault tolerant and scalable orchestration platform
Participate in the full SDLC of various components and systems that make up of the orchestration platform
Familiarize yourself with the Data Processing / Analysis tasks taken on by the Data Department and systems developed by our sister teams
Have your antenna up and bring the latest development in OSS and capabilities into our stack
Mentor less experienced members of the team



**Youu2019ll need to have:**


Demonstrable experience building fault tolerant and horizontally scalable distributed applications / systems dealing with distributed system specific concerns
Demonstrable experience writing production code in either Python, Go, Rust, JavaScript/TypeScript or Java
Strong problem solving skills



**Weu2019d love to see:**


Knowledge of Database Systems and trade offs in the distributed systems
Familiarity with API Designs
Familiarity with Orchestration Frameworks such as Apache Airflow, Argo Workflows, Conductor etc.
Experience working with and designing systems utilizing AWS

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior Software Engineer - ETL Pipeline Orchestration Platform
Location
London
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to capital markets. Bloomberg's Data Technology Infrastructure Department designs and builds large-scale platforms to acquire financial reference and pricing data globally from various sources, delivering billions of data points daily to clients for investment analysis.
The ETL Pipeline Orchestration Platform team owns a low code platform that helps engineers and analysts author and manage data transformation, derivation, validation and database loading themselves. As adoption accelerates, we are redesigning key components to support further throughput and resiliency while maintaining the availability of the system.
**What's in it for you?**
We are the connecting tissue across the various core capabilities offered by our sibling teams. If you join our team, you will be working on solving the fundamental problems in event-driven orchestration systems using both open source technologies as well as in-house ones. We are a multi-lingual team taking care of python applications, performant queue broker in Go to C-based Python extensions and everything in between. If you have a knack for distributed systems or a love for orchestration platforms, join us!
**Future Initiatives**
**We would like to work on the following in this year and next:**
+ Develop, deploy and integrate our internal priority queue system to mitigate head-of-line blocking issues and optimize the time to market for the most important tasks
+ Deprecate the on-cloud orchestration system by unifying with on-prem system
+ Component registration / management faculty to make the onboarding processing easier for the service owners
+ Introduce multi-tenancy with granular privileging for both pipeline creation and edit time as well as runtime
+ Better support and capability for creation of DAG in orchestration
+ Programmatic recipe creation, modification and interaction to be API first
+ LLM integration to assist in authoring ETL tasks
**We'll trust you to:**
+ Work with us to design the user-friendly, fault tolerant and scalable orchestration platform
+ Participate in the full SDLC of various components and systems that make up of the orchestration platform
+ Familiarize yourself with the Data Processing / Analysis tasks taken on by the Data Department and systems developed by our sister teams
+ Have your antenna up and bring the latest development in OSS and capabilities into our stack
+ Mentor less experienced members of the team
**You'll need to have:**
+ Demonstrable experience building fault tolerant and horizontally scalable distributed applications / systems dealing with distributed system specific concerns
+ Demonstrable experience writing production code in either Python, Go, Rust, JavaScript/TypeScript or Java
+ Strong problem solving skills
**We'd love to see:**
+ Knowledge of Database Systems and trade offs in the distributed systems
+ Familiarity with API Designs
+ Familiarity with Orchestration Frameworks such as Apache Airflow, Argo Workflows, Conductor etc.
+ Experience working with and designing systems utilizing AWS
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Description & Requirements

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to capital markets. Bloomberg's Data Technology Infrastructure Department designs and builds large-scale platforms to acquire financial reference and pricing data globally from various sources, delivering billions of data points daily to clients for investment analysis.nThe ETL Pipeline Orchestration Platform team owns a low code platform that helps engineers and analysts author and manage data transformation, derivation, validation and database loading themselves. As adoption accelerates, we are redesigning key components to support further throughput and resiliency while maintaining the availability of the system.nLocation : LondonnWhat’s in it for you?nWe are the connecting tissue across the various core capabilities offered by our sibling teams. If you join our team, you will be working on solving the fundamental problems in event-driven orchestration systems using both open source technologies as well as in-house ones. We are a multi-lingual team taking care of python applications, performant queue broker in Go to C-based Python extensions and everything in between. If you have a knack for distributed systems or a love for orchestration platforms, join us!nFuture InitiativesnDevelop, deploy and integrate our internal priority queue system to mitigate head-of-line blocking issues and optimize the time to market for the most important tasksnDeprecate the on-cloud orchestration system by unifying with on-prem systemnComponent registration / management faculty to make the onboarding processing easier for the service ownersnIntroduce multi-tenancy with granular privileging for both pipeline creation and edit time as well as runtimenBetter support and capability for creation of DAG in orchestrationnProgrammatic recipe creation, modification and interaction to be API firstnLLM integration to assist in authoring ETL tasksnWe’ll Trust You TonWork with us to design the user-friendly, fault tolerant and scalable orchestration platformnParticipate in the full SDLC of various components and systems that make up of the orchestration platformnFamiliarize yourself with the Data Processing / Analysis tasks taken on by the Data Department and systems developed by our sister teamsnHave your antenna up and bring the latest development in OSS and capabilities into our stacknMentor less experienced members of the teamnYou’ll Need To HavenDemonstrable experience building fault tolerant and horizontally scalable distributed applications / systems dealing with distributed system specific concernsnDemonstrable experience writing production code in either Python, Go, Rust, JavaScript/TypeScript or JavanStrong problem solving skillsnWe’d Love To SeenKnowledge of Database Systems and trade offs in the distributed systemsnFamiliarity with API DesignsnFamiliarity with Orchestration Frameworks such as Apache Airflow, Argo Workflows, Conductor etc.nExperience working with and designing systems utilizing AWSnSeniority level

Mid-Senior levelnEmployment type

Full-timenJob function

Engineering and Information Technology

#J-18808-Ljbffrn

Data Engineering Manager

Location:  Leeds (Mostly Remote – 1 Day On-Site)
Salary:  Up to £75,000 per annum

Are you an experienced Senior Data Engineer ready to step into a leadership role? We’re looking for a Lead Data Engineer to join our client's team based in Leeds, working mostly remotely with just one day on-site per week.

You’ll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices.

About You

You might currently be a Senior/Lead Data Engineer ready to grow your leadership skills. You’re passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment.

Key Responsibilities

• Lead development of data pipelines and solutions using Databricks, Python, and SQL

• Design and maintain data models supporting analytics and business intelligence

• Build and optimise ELT/ETL processes on AWS or Azure

• Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products

• Champion best practices in testing, CI/CD, version control, and infrastructure as code

• Mentor and support your team, taking ownership of technical delivery and decisions

• Drive continuous improvements in platform performance, cost, and reliability

Key Requirements

• Hands-on experience with Databricks or similar data engineering platforms

• Strong Python and SQL skills in data engineering contexts

• Expertise in data modelling and building analytics-ready datasets

• Experience with AWS or Azure cloud data services

• Proven leadership or mentorship experience

• Excellent communication and stakeholder management

• Agile delivery and DevOps tooling knowledge

Desirable

• Experience with infrastructure-as-code (Terraform, CloudFormation)

• Familiarity with CI/CD pipelines and orchestration tools

• Knowledge of data governance and quality controls

• Experience in regulated or large-scale environments

Apply now to speak with VIQU IT in confidence, or reach out to Phoebe Rees via the VIQU IT website.

Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply).

For more exciting roles and opportunities like this, follow us on LinkedIn @VIQU IT Recruitment.

   

Data Engineering Manager

Location:  Leeds (Mostly Remote – 1 Day On-Site)
Salary:  Up to £75,000 per annum

Are you an experienced Senior Data Engineer ready to step into a leadership role? We’re looking for a Lead Data Engineer to join our client's team based in Leeds, working mostly remotely with just one day on-site per week.

You’ll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices.

About You

You might currently be a Senior/Lead Data Engineer ready to grow your leadership skills. You’re passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment.

Key Responsibilities

• Lead development of data pipelines and solutions using Databricks, Python, and SQL

• Design and maintain data models supporting analytics and business intelligence

• Build and optimise ELT/ETL processes on AWS or Azure

• Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products

• Champion best practices in testing, CI/CD, version control, and infrastructure as code

• Mentor and support your team, taking ownership of technical delivery and decisions

• Drive continuous improvements in platform performance, cost, and reliability

Key Requirements

• Hands-on experience with Databricks or similar data engineering platforms

• Strong Python and SQL skills in data engineering contexts

• Expertise in data modelling and building analytics-ready datasets

• Experience with AWS or Azure cloud data services

• Proven leadership or mentorship experience

• Excellent communication and stakeholder management

• Agile delivery and DevOps tooling knowledge

Desirable

• Experience with infrastructure-as-code (Terraform, CloudFormation)

• Familiarity with CI/CD pipelines and orchestration tools

• Knowledge of data governance and quality controls

• Experience in regulated or large-scale environments

Apply now to speak with VIQU IT in confidence, or reach out to Phoebe Rees via the VIQU IT website.

Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply).

For more exciting roles and opportunities like this, follow us on LinkedIn @VIQU IT Recruitment.

   

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.