Data Engineering Lead

Do you enjoy Team Management?

Are you a team player?

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support science, health education, interactive learning, and 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 Enterprise Data Platforms and Services (EDPS) team is a central technology group responsible for building, administering, governing, and setting global standards for a growing number of Elsevier strategic data platforms and services. The capabilities enable data to be collected, accessed, processed and integrated across digital business solutions used by functions including billing and order management, customer and product master data management, and business analytics and insights delivery. Our footprint across the enterprise ensures systems are trusted, reliable and available. The technology underpinning these capabilities includes 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 establish shared platforms that enable a connected collection of enterprise-ready time-saving services with a self-service-first approach. Our mission is to enable frictionless experiences for all colleagues, so they can securely consume and produce trustworthy data, enhancing decision-making.

As the Software Engineering Lead, you will nurture a high-performing cross-functional squad of software and data engineers. This squad supports a growing number of strategic capabilities and components serving many engineering, data science, and analytics use cases and stakeholders. You will be the technical subject matter expert overseeing the squad building an Enterprise Data Platform that supports both operational and analytical use cases.

In practice, this means combining technical expertise with strong stakeholder engagement to understand business needs and design fit-for-purpose solutions. You will map user requirements to platform components and collaborate closely with other technology teams to drive a culture of contributing towards shared services.

Your success will be measured by increases in the number of teams adopting and contributing to the platform capabilities and shared repositories, and improvements in technical efficiency and value.

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• Accountable for team performance – manage a high performing agile delivery squad, nurturing skills, trust, and relationships through coaching and mentoring.
  
• Accountable for releases – set technical development and coding standards for a robust SDLC and review releases to ensure these standards are met.
  
• Accountable for shared services – build common frameworks and patterns that are reusable and can be deployed by other teams via self-service.
  
• Accountable for best practices – establish guidelines in collaboration with the team, wider engineering groups, architecture, end-users, data product owners, and enablement teams, with regular knowledge-sharing sessions.
  
• Accountable for operational efficiency – drive improvements in efficiency, reliability, and scalability with logging, monitoring and observability as foundational capabilities.
  
• Responsible for adoption – promote platform capabilities through leadership of technical communities, documented processes, and capturing user feedback.
  
• Responsible for platform evolution – collaborate with stakeholders to identify capability gaps and drive change discussions.
  
• Responsible for technical governance – establish and manage the technical design authority process for self-service governance of the platform.
  

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• Team leadership – proven line manager and technical lead, focused on coaching and mentoring to motivate cross-functional squads.
  
• SDLC – strong understanding of SDLC best practices, with improvements in SDLC and DataOps/DevOps maturity.
  
• Agile delivery – facilitating ceremonies, removing impediments, refining requirements, and promoting iterative improvement.
  
• Modern data stack – hands-on deployment and governance of enterprise technologies at scale (e.g., Snowflake, Tableau, DBT, Fivetran, Airflow, AWS, GitHub, Terraform) for self-service workloads.
  
• Coding languages – Python, JavaScript, and Jinja templating for ETL/ELT data applications, data pipelines, and stored procedures.
  
• Thought leadership and influencing – ability to articulate proposals supported by research and value delivery, with experience in driving and adopting change.
  
• Solution design and architecture – capable of creating technical design documents and infrastructure artifacts for scalable, secure data platforms with reliable data flow.
  
• AWS cloud ecosystem – in-depth knowledge of AWS data and analytics services and production-grade data solutions.
  
• Prioritisation – adaptable to changing needs with pragmatic responses to evolving priorities while mitigating impacts.
  
• Data and technology governance – applying data management, privacy, and security practices at scale to ensure compliant platform use.
  

We promote a healthy work/life balance across the organisation. We offer long-tenured employment prospects and wellbeing initiatives, study assistance, and sabbaticals to support immediate responsibilities and long-term goals.

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• Working remotely from home or in our office in a flexible hybrid style
  
• Working flexible hours to fit your productivity patterns
  

We are an equal opportunity employer with a commitment to help you succeed. We foster an inclusive, agile, collaborative, innovative, and fun environment where everyone has a part to play. We value diversity and are committed to a fair hiring process.

At Elsevier, wellbeing and happiness are important for a long and successful career. Benefits include:

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• Generous holiday allowance with option to buy additional days
  
• Access to learning platforms and time for focused development
  
• Health screening, eye care vouchers, and private medical benefits
  
• Wellbeing programs
  
• Life assurance
  
• Competitive contributory pension
  
• Long service awards
  
• Save As You Earn share option scheme
  
• Travel season ticket loan
  
• Maternity, paternity and shared parental leave
  
• Employee resource groups and volunteering opportunities
  
• Extensive learning and development resources
  
• Employee discounts via Perks at Work
  

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support science, health education, interactive learning, and clinical practice. At Elsevier, your work contributes to grand challenges and a sustainable future. We pursue innovation to support science and healthcare and partner for a better world.

EEO statement and accessibility details have been provided in the original posting.