At a Glance
- Tasks: Build and maintain data pipelines while collaborating with a dynamic tech team.
- Company: Join SCOR, a leading global reinsurer with a focus on innovation.
- Benefits: Enjoy competitive salary, remote work options, and professional growth opportunities.
- Other info: Diverse and inclusive workplace with excellent career advancement potential.
- Why this job: Make a real impact in the data ecosystem and enhance your skills in a supportive environment.
- Qualifications: Experience in data engineering, strong analytical skills, and teamwork abilities.
The predicted salary is between 45000 - 55000 £ 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.
Several years of experience as a data engineer with a data-oriented mindset is required. Proven experience in the development and maintenance of data pipelines, preferably in agile projects (Scrum and/or Kanban) is essential. Good knowledge of the Lloyds of London Market is also necessary.
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.
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, supporting them by helping them to grow.
- Contribute to ICS (Internal Control System) and support audits when required.
Senior Data Engineer in London employer: SCOR Global Life
SCOR is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are empowered to thrive through shared values and innovative thinking. As a Talent Acquisition Specialist, you will have the opportunity to engage with top industry professionals while contributing to meaningful projects that enhance societal resilience. With a strong focus on employee growth and development, SCOR offers a dynamic environment that encourages creativity and supports diverse talent across its global operations.
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We think this is how you could land Senior Data Engineer in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SCOR Global Life.
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We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SCOR Global Life, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SCOR Global Life. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SCOR Global Life
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SCOR Global Life!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
