THE ROLE

We are searching for an enthusiastic Senior Data Engineer to join our Investment Technology Team. You will play a key role in shaping the future of investment data at MFS by designing, developing, and implementing data engineering and analytics solutions for our multi-asset platform. This role offers the chance to leverage your expertise in investment data, cloud platforms, and data pipelines to contribute to a long-term strategic initiative to unify our investment data.

WHAT YOU WILL DO

• Analyze and organize raw data from different sources (vendors, data delivery methods, etc.)

• Maintain SQL databases.

• Build data models and pipelines

• Automate reports and processes to run with varying frequencies.

• Monitor and debug processes and report the problem to the corresponding responsible parties.

• Explore ways to enhance data quality, reliability, and efficiency

• Develop analytical tools and programs

• Collaborate with data scientists and architects on several projects

• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.

• Work with cross functional Agile teams and DevOps principles

WHAT WE ARE LOOKING FOR

REQUIRED:

• Bachelor's degree or equivalent experience in Computer Science, Finance, or related field.

• Minimum 2-5+ years of related experience in Extract, Transform, Lead (ETL) and/or Extract, Load, Transform (ELT) processes.

• Extensive experience working with database management languages (SQL, NoSQL).

• Experience with object-oriented programing (OOP)/Scripting languages such as R or Python

• Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Amazon Red Shift, Google BigQuery, Azure Synapse).

• Strong technical acumen, analytical and problem-solving skills, critical thinking skills

• Ability to work across boundaries, building cross-organizational relationships.

• Strong understanding of data modeling concepts (ERD, Dimensional Modeling, Data Vault) and data APIs (RESTful API).

• Strong desire to expand your skills through self-study, hands-on learning, and formal instruction.

• Strong interpersonal, communication (both written and oral) & analytical skills; must be team-oriented and deadline-driven.

PREFFERED:

• Experience with data integration tools such as DBT and Fivetran/HVR

• Experience in fixed income or financial services.

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