At a Glance
- Tasks: Build and maintain data pipelines while promoting good data practices.
- Company: Join a dynamic tech team at SCOR, a leader in data solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make an impact by enhancing the SCOR Data ecosystem with innovative solutions.
- 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 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.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
Senior Data Engineer employer: SCOR UK Company Limited
At SCOR, we pride ourselves on being an excellent employer, offering a vibrant work culture that fosters innovation and collaboration among our dynamic Tech teams. Located in the heart of London, we provide our employees with ample opportunities for professional growth, competitive benefits, and a commitment to diversity and inclusion, ensuring that every team member can thrive and contribute meaningfully to our data ecosystem.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving data pipelines or analytics. Share it during interviews or on platforms like GitHub to demonstrate your hands-on experience and problem-solving skills.
✨Ace the Interview
Prepare for technical interviews by brushing up on your T-SQL and Azure Data Factory skills. Practice common data engineering problems and be ready to discuss your past projects in detail. Remember, they want to see how you think and approach challenges!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to ensure your application gets the attention it deserves. Plus, it’s a great way to stay updated on new roles that match your skills.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data pipelines, T-SQL, and Azure Data Factory to show us you’re the right fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your problem-solving skills can contribute to our team. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on relevant projects, don’t hesitate to include them! Whether it’s a personal project or something from your previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at SCOR UK Company Limited
✨Know Your Data Inside Out
Make sure you brush up on your technical skills, especially T-SQL and Azure Data Factory. Be ready to discuss your experience with data pipelines and how you've implemented best practices in previous projects. This will show that you're not just familiar with the tools, but that you can use them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific situations where your analytical thinking made a difference. This will demonstrate your self-learning and problem-solving orientation, which is key for the role.
✨Emphasise Collaboration
Since the role involves working within a team and promoting good practices, be ready to talk about your experiences collaborating with others. Share instances where you participated in workshops or helped coach fellow data engineers, highlighting your team player attitude.
✨Understand the Business Context
Familiarise yourself with the Lloyds of London Market and how data plays a role in it. Being able to speak knowledgeably about the industry will impress your interviewers and show that you understand the bigger picture beyond just the technical aspects.
