Senior Data Engineer; Databricks

MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more.

Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape. As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution. To learn more, visit us at  .

We areseekinga highly skilled Data Engineer with strong problem-solvingexpertiseto join our dynamic data engineering team. Your primary focus will be to design, develop, andoptimizedata pipelines and workflows leveraging Databricks and

AWS.

Supporting L2 and L3 functions within Data engineering to troubleshoot and rectify production pipelines.

Develop andmaintainhigh-performance data pipelines using Databricks.

Collaborate with architects and analysts to build data models and transformations.

Ensure data quality, security, and compliance within Databricks environments.

Implement monitoring and logging strategies to ensure data pipeline reliability and performance.

Deploy and manage code via CI/CD workflows.

Troubleshoot and resolve complex data processing challenges efficiently.

Skills & Qualifications

Proficiency in Databricks, including

PySpark, Spark SQL, and Delta Lake.

Strong experience with data modelling, optimization, and performance tuning within Databricks.

Hands-on experience with AWS infrastructure, specifically for Databricks deployments with

AWS DMS and S3based ingestion patterns.

Solid understanding of data governance, security best practices, and compliance.

Familiarity with CI/CD principles and practices.

Excellent problem-solving skills and ability to collaborate effectively in agile teams.

Hands-on experience supporting and troubleshooting data pipelines is a big plus.

Preferred

Prior experience working within financial services or highly regulated environments.

Be part of a skilled team driving innovative solutions using Databricks and AWS.

Opportunities to directlyimpactand shape the strategic direction of our data platform.

Competitive compensation with significant professional growth opportunities.