TL;DR
Senior Data Engineer (AI Platform): Designing, building, and maintaining scalable data pipelines and services that support large‑scale search and analytics use cases. Focus on cloud‑based systems (AWS), focusing on reliability, monitoring, and automation.
Location: Hybrid in London, UK
Company
Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
What you will do
- Design, build, and maintain scalable data pipelines and services.
- Develop batch and ELT/ETL data workflows for ingesting and processing large datasets.
- Work with technologies such as Python, Java, Spark, SQL, and Airflow.
- Contribute to cloud‑based systems (AWS), focusing on reliability, monitoring, and automation.
- Collaborate with product, platform, and data science partners to deliver meaningful outcomes.
- Support team learning through code reviews and knowledge sharing.
Requirements
- Experience working as a data or software engineer on production systems.
- Strong skills in Python and experience with at least one backend language (such as Java).
- Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems.
- Experience building or operating data pipelines using tools like Spark and Airflow.
- Familiarity with cloud platforms (AWS preferred) and production monitoring.
- Clear communication skills and a collaborative approach to problem‑solving.
Culture & Benefits
- Promote a healthy work/life balance across the organization.
- Offer numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals.
- Offer comprehensive Pension Plan.
- Provide generous vacation entitlement and option for sabbatical leave.
- Provide flexible working hours.
- Offer internal communities and networks.