Senior Data Engineer

Salary: £51,000 - 51,000 per year

Requirements:

• Several years of experience as a data engineer with a data-oriented mindset
• Proven experience in development and maintenance of data pipelines, preferably in agile projects (Scrum and/or Kanban)
• Good knowledge of the Lloyds of London market
• Strong level in T-SQL and Azure Data Factory
• Ability to develop data pipelines across various platforms using best practices such as parallelization, distributed programming techniques, dimensional modeling, slowly changing dimensions, and change data capture management
• Good knowledge of CI/CD pipelines and Gitflow best practices
• Good knowledge of Power BI, MDX, and DAX
• Good knowledge of Python and PySpark
• Experience with Databricks and/or Palantir Foundry is a strong plus
• Knowledge of REST API development is a plus
• Strong analytical thinking, rigorous mindset, solution-oriented approach, and ability to propose improvements
• Team player with commitment, curiosity, and willingness to challenge ideas
• Ability to navigate in an international environment
• Strong communication and interpersonal skills, with the ability to engage a wide community of stakeholders across business, data, and IT
• Bachelors degree in computer science, software or computer engineering, applied maths, physics, statistics, or a related field, or equivalent experience

Responsibilities:

• Build, deliver, test, maintain data artefacts such as data pipelines, datasets, cubes, models, and services (API) to support data distribution while following standard best practices and state-of-the-art approaches
• Test, reconcile, and document changes as a key part of the role
• Document data artefacts through code, diagrams, and wiki-like documentation to ensure the comprehensiveness of our work
• Collaborate within and outside our squad by participating in workshops and rituals such as daily stand-ups, sprint reviews, and design sessions
• Promote good practices across the SCOR group
• Support the delivery of trustworthy data pipelines that serve both transactional and analytical needs
• Implement adequate tests and controls, and monitor scheduled outputs or ad hoc inputs when required
• Review and coach data engineers, and support their growth
• Contribute to the Internal Control System and support audits when required

Technologies:

• API
• Architect
• Azure
• CI/CD
• Databricks
• DAX
• Support
• Kanban
• Power BI
• Python
• PySpark
• REST
• SQL
• Cloud

More:

We are SCOR, a leading global reinsurer offering diversified and innovative reinsurance and insurance solutions to help clients control and manage risk. Guided by The Art & Science of Risk and our shared culture, The SCOR Way, we work with some of the best minds in the industry across actuarial, data, underwriting, risk, and engineering disciplines. We operate in around 160 countries worldwide and are committed to caring about clients, people, and societies; performing with integrity; acting with courage; encouraging open minds; and thriving through collaboration. We support inclusion and diversity, and all positions are open to people with disabilities. This role sits within our international Tech teams and reports to a Data Architect, with a focus on the SCOR Data ecosystem, including the SCOR Data Platform, data warehouses, and Syndicate Data Hub.

last updated 34 week of 2026