SCOR UK Company Limited

We are seeking a Senior Data Engineer to join our dynamic Tech teams. The ideal candidate is self learning and problem solving oriented with strong analytical thinking. You will work as part of a team to build, develop, enhance, and support the SCOR Data ecosystem (SCOR Data Platform, Datawarehouses ), including but not restricted to the Syndicate Data Hub. The Senior Data Engineer will promote good data hygiene across the Syndicate and wider SCOR group. Responsibilities Under the responsibility of a Data Architect, your mission will be to: Build, deliver, test, maintain data artefacts such as data pipelines, datasets, cubes, models, and services (API) to serve data distribution while following standard best practices and state of the art approaches (testing, reconciling and documenting changes are a key part of the role). Document data artefacts (code, diagrams, wiki like documentation) to secure the comprehensiveness of your work. Collaborate within and outside your squad by participating in workshops or rituals (dailys, sprint reviews, design sessions) and promoting good practices across the SCOR group. Support the delivery of trust worthy data pipelines that serve both transactional and analytical needs, by implementing adequate tests and controls, and monitoring data scheduled outputs or ad hoc inputs when required. Review and coach data engineers, supporting them by helping them grow. Contribute to the Internal Control System and support audits when required. Qualifications 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. Technical Skills : Strong level in T SQL and Azure Data Factory; ability to develop data pipelines under various platforms using good practices such as parallelisation, distributed programming techniques, decisional modelling, 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 in Python and PySpark. Experience with Databricks and/or Palantir Foundry is a strong plus. Knowledge of REST API development is a plus. Behavioural & Management Skills : Strong analytical thinking, rigorous mindset, solution oriented, and force of proposal. Team player, commitment, curiosity, interest to challenge. Capacity to navigate in an international environment. Communication and people skills, ability to speak to a wide community of stakeholders (business, data, IT) and understand their needs. Required Education Bachelor's degree in computer science, software or computer engineering, applied maths, physics, statistics, or a related field or equivalent experience. Locations: Level 6, London, United Kingdom, EC2N 4BQ, GB SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

SCOR UK Company Limited is looking for a Senior Data Engineer to join their Tech team in Greater London. This role involves building, testing, and maintaining data artefacts while promoting good data hygiene. The ideal candidate will have extensive experience in data engineering, proficiency in T-SQL and Azure Data Factory, and will contribute to both interpersonal and technical aspects of projects. A Bachelor's degree in a related field is required, and a strong understanding of the Lloyds of London Market is preferred.