At a Glance
- Tasks: Build and enhance data pipelines while promoting good data practices.
- Company: Join a dynamic tech team at SCOR, a leader in data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in an international setting with excellent career advancement opportunities.
- Why this job: Make an impact by delivering trustworthy data solutions in a collaborative environment.
- Qualifications: Experience in data engineering and strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Senior Data Engineer to join our dynamic Tech teams. The ideal candidate is a self-learning, problem-solving oriented individual with strong analytical thinking. You will be working as part of a team to build, develop, enhance and support the SCOR Data ecosystem (SCOR Data Platform, Data warehouses…), including but not restricted to 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, 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 (dailies, sprint reviews, design sessions) and promoting good practices across the SCOR group.
- Support the delivery of trustworthy 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, support them by helping them to grow. Contribute to IC (Internal Control System) and support audits when required.
QUALIFICATIONS
- Several years of experience as a data engineer, 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, Azure Data Factory, ability to develop data pipelines under various platforms using good practices such as parallelization, distributing programming techniques, decisional modeling, slowly changing dimensions, change data capture management.
- Good knowledge of CI/CD pipelines and Gitflows best practices.
- Good knowledge of Power BI / MDX / DAX.
- Good knowledge in Python, Pyspark.
- Experience with Databricks and/or Palantir Foundry is a strong plus.
- Knowledge of REST API development is a plus.
Behavioral & 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 & 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.
Senior Data Engineer employer: Ontologize LLC
At SCOR, we pride ourselves on being an excellent employer, offering a vibrant work culture that fosters innovation and collaboration. As a Senior Data Engineer, you will have the opportunity to work with cutting-edge technologies in a supportive environment that encourages professional growth and development. Our commitment to employee well-being is reflected in our comprehensive benefits package and the chance to engage with a diverse international team, making SCOR a truly rewarding place to advance your career.
