At a Glance
- Tasks: Design and optimise data pipelines using Databricks and AWS for high performance.
- Company: Join MUFG Investor Services, a global leader in financial services.
- Benefits: Competitive salary, career growth, and a collaborative team environment.
- Other info: Be part of a focused engineering team driving innovation in data management.
- Why this job: Make an impact by building scalable data solutions in a dynamic industry.
- Qualifications: Experience with Databricks, PySpark, Spark SQL, Delta Lake, and AWS required.
The predicted salary is between 60000 - 80000 £ per year.
MUFG Investor Services is seeking a Data Engineer to design, build, and optimise data pipelines using Databricks and AWS.
You will develop high‑performance pipelines, collaborate on data models, and ensure data quality and security across environments.
The role requires hands-on experience with Databricks, Py Spark, Spark SQL, Delta Lake, and AWS (DMS and S3 ingestion).
You'll join a focused engineering team within a global financial services group, contributing to a scalable data platform.
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Senior Databricks Data Engineer AWS Pipelines employer: MUFG Investor Services
MUFG Investor Services is an exceptional employer, offering a dynamic work environment where innovation meets stability. As part of one of the world's largest financial institutions, employees benefit from extensive professional growth opportunities, a collaborative culture that encourages knowledge sharing, and the chance to work on cutting-edge AI technologies in a supportive setting. Located in a global hub, our team enjoys access to diverse resources and a strong network, making it an ideal place for those seeking meaningful and rewarding careers in the financial services sector.
