Senior Data Engineer I

LexisNexis Risk Solutions; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A global information services company is seeking a Senior Data Engineer in London to create secure and scalable data architectures. You will collaborate with teams to ensure efficient data flows and contribute to data governance practices. The ideal candidate should have experience with AWS, data orchestration technologies, and developing ETL solutions. This role supports hybrid working and offers numerous benefits including a generous holiday allowance and health screening.

Benefits

Generous holiday allowance

Health screening

Access to learning platforms

Private medical benefits

Access to employee discounts

Qualifications

• Experience with modern data stack technologies like Snowflake and Airflow.
• Ability to develop reusable ETL/ELT solutions using Python and SQL.
• Demonstrated applied understanding of SDLC best practices.

Responsibilities

• Build a robust data orchestration and transformation architecture.
• Ensure reliable delivery of accurate data for analytical platforms.
• Drive operational efficiency through improvements in monitoring and logging.

Skills

Data governance

Data orchestration

Python

SQL

AWS

Tools

Snowflake

Airflow

Terraform

Docker

Tableau

Job description

locations London UK - Cambridge (BioData Innovation Centre) Amsterdam Oxford Aalborg

time type Full time

posted on Posted Yesterday

job requisition id R98188

About the Team:

The Academic Information Systems ( AI S) DataOps team is a shared technology group responsible for building, administering, governing, and setting standards for a growing number of strategic data platforms and services. Our capabilities enable data to be extracted, centralized, transformed, transmitted, and analyzed across a range of products in the AIS space. 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, Astronomer/Airflow, Kubernetes , DBT, Tableau, Sisense , Collibra, and Kafka/ Debezium . Our mission is to enable frictionless experiences for our AIS colleagues and customers so that they can openly and securely consume trustworthy data, enhancing everyday interactions and decisions.

About the Role:

As a S enior Data Engineer I , you will be responsible for helping to creat e a data infrastructure that is secure, scalable, well-connected, thoughtfully architected while also building a deep domain knowledge of our business domain. This team is responsible for the complex flow of data across teams, data center s , and organizational boundaries all around the world . This data is the backbone of successful storytelling for AIS colleagues and customers, and it m u st be curated through several reliable yet cost-effective approaches.

Responsibilities:

Build and maintain a robust, modern data orchestration and transformation architecture to support both batch and streaming processes.

Ensure reliable delivery of clean, accurate data for analytical platforms and data sharing services.

Contribute to the development and enforcement of technical and coding standards to mature SDLC practices.

Collaborate with DevOps to automate deployments and implement Infrastructure as Code (IaC) for consistent, repeatable environments across regions.

Develop modularized components and reusable frameworks, establishing common patterns for easy contribution and reliable deployment.

Document and promote best practices by establishing guidelines with stakeholders and sharing knowledge across engineering and product teams.

Drive operational efficiency, reliability, and scalability through improvements in logging, monitoring, and observability.

Support platform evolution and data governance by identifying capability gaps, implementing necessary tooling and processes, and promoting DataOps through leadership and user feedback initiatives.

Requirements:

Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads.

Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures.

Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps, and DevOps processes.

Participate actively in Agile delivery, including ceremonies, requirements refinement, and fostering a culture of iterative improvement.

Provide thought leadership in the data platform landscape by building well-researched proposals and driving adoption of change.

Design comprehensive technical solutions, producing architecture and infrastructure documentation for scalable, secure, and efficient data platforms.

Exhibit deep expertise in AWS data and analytics services, with experience in production-grade cloud solutions and cost optimization.

Apply strong data and technology governance, ensuring compliance with data management, privacy, and security practices, while collaborating cross-functionally and adapting to evolving priorities.

Work in a way that works for you

We promote a healthy work/life balance across the organization . 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

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.

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