Senior Data Engineer (Databricks) at MUFG FUND SERVICES UK LIMITED

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

Salary

0.0

Posted On

28 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, PySpark, Spark SQL, Delta Lake, AWS, AWS DMS, S3, Data Modelling, CI/CD, Data Governance, Performance Tuning, Agile

Industry

Financial Services

Description

Company Description 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 www.mufg-investorservices.com. #LI-Hybrid Job Description We are seeking a highly skilled Data Engineer with strong problem-solving expertise to join our dynamic data engineering team. Your primary focus will be to design, develop, and optimize data pipelines and workflows leveraging Databricks and AWS. Responsibilities Supporting L2 and L3 functions within Data engineering to troubleshoot and rectify production pipelines. Develop and maintain high-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. #LI-Hybrid Qualifications 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 Databricks certification (Data Engineer Professional). Prior experience working within financial services or highly regulated environments. Why Join Us? Be part of a skilled team driving innovative solutions using Databricks and AWS. Opportunities to directly impact and shape the strategic direction of our data platform. Competitive compensation with significant professional growth opportunities. Additional Information What’s in it for you to join MUFG Investor Services? Take a look at our careers site and you’ll find everything you’d expect from a career with the fastest-growing business at one of the world’s largest financial groups. Now take another look. Because it’s how we defy expectations that really defines us. You’ll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation, laser client focus, and next-level LEARNING & DEVELOPMENT. Oh, and we really walk the talk when it comes to HYBRID WORKING. So, why settle for the ordinary? Apply now for a Brilliantly Different career. We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted. We are an equal opportunity employer. Rank: Senior Associate Employment Type: Permanent Full Time

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Responsibilities

Design, develop, and optimize high-performance data pipelines and workflows using Databricks and AWS. Provide L2 and L3 support to troubleshoot production pipelines and ensure data quality and security.