At a Glance
- Tasks: Design and execute data quality tests across the full data lifecycle.
- Company: Join Tokio Marine HCC, a leader in finance and data reporting.
- Benefits: Enjoy competitive salary, flexible working, and career development opportunities.
- Other info: Dynamic role with opportunities for growth in a supportive environment.
- Why this job: Make a real impact on data quality and collaborate with diverse teams.
- Qualifications: Experience in data quality testing and full-stack development required.
The predicted salary is between 54000 - 66000 Β£ per year.
Tokio Marine HCC in London is seeking a Senior Full Stack Data Quality Engineer to join the Finance & Data Reporting Product Team.
You will design and execute data quality tests across the full data lifecycle, from ingestion to BI, APIs and metadata.
You will extend the dbt-based test harness, validate Snowflake outputs, and integrate checks into CI/CD, collaborating with engineering and business stakeholders to ensure timely data quality remediation and release readiness.
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Senior Full-Stack Data Quality Engineer β Data Validation & Automation in London employer: Tokio Marine HCC
Tokio Marine HCC is an exceptional employer located in Bridgend, offering a dynamic work environment where employees can thrive and develop their skills in the insurance sector. With a strong emphasis on teamwork and professional growth, we provide comprehensive training and support, ensuring that our staff are well-equipped to excel in their roles. Our commitment to maintaining high service standards fosters a culture of excellence, making it a rewarding place for motivated individuals to build their careers.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior Full-Stack Data Quality Engineer β Data Validation & Automation in London
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We think you need these skills to ace Senior Full-Stack Data Quality Engineer β Data Validation & Automation in London
Some tips for your application π«‘
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. Donβt forget to include links to any GitHub repositories if applicable!
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β¨Brush Up on Your Statistics
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