At a Glance
- Tasks: Design and build Snowflake pipelines for a cutting-edge data platform.
- Company: Join ea Change, a leader in the London Market Insurance sector.
- Benefits: Enjoy remote work, competitive salary, and a supportive team environment.
- Other info: Work in 3-week sprints with daily stand-ups for agile collaboration.
- Why this job: Make a real impact on data quality and governance in a dynamic industry.
- Qualifications: Experience with Snowflake, UMRs, and knowledge of Lloyd's market is essential.
The predicted salary is between 59400 - 72600 £ per year.
ea Change is seeking a Senior Snowflake Data Engineer to help expand a Snowflake enterprise data platform for London Market Insurance.
This remote UK role runs on 3-week sprints with daily stand-ups and reports to the Data Engineer Lead.
You will design and build Snowflake pipelines, model across layers (Raw, Curated, Gold) and optimise costs while ensuring data quality and governance.
Experience in UMRs, bordereaux and Lloyd's vs company market is essential.
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Senior Snowflake Data Engineer — London Market (Remote) employer: ea Change
ea Change is an exceptional employer that values innovation and collaboration, providing a dynamic work environment for its ERP Transformation Project Manager. With flexible working arrangements and a commitment to employee growth, team members are encouraged to develop their skills while contributing to impactful transformation projects. Located in a vibrant area, the company fosters a culture of support and inclusivity, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Snowflake Data Engineer — London Market (Remote)
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We think you need these skills to ace Senior Snowflake Data Engineer — London Market (Remote)
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!
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✨Brush Up on Your Statistics
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✨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.
