MA
MassMutualQuantitative Data Engineer
Quantitative Data Engineer developing data solutions and automations for MassMutual's investment management. Working with data orchestration tools within a collaborative team environment.
About the role
- Provide expert advice on data strategy, architecture, and implementation best practices
- Design and develop scalable data pipelines on public cloud platforms (primarily AWS, with exposure to Azure or GCP as needed)
- Implement and optimise Lakehouse architectures, particularly Iceberg, with Hudi and Delta as a plus
- Build, automate, and maintain ETL processes, data workflows, and orchestration frameworks (Airflow, Step Functions, AWS Workflow)
- Ensure high standards of reliability, automation, maintainability, and security across all solutions delivered
- Support incident resolution, root cause analysis, and define preventive actions when required
- Document technical designs, configurations, and operational guidelines in line with best practices
- Share knowledge and mentor internal teams to strengthen overall data engineering capabilities
Requirements
- 3–5 years of experience building data pipelines on public cloud platforms (AWS preferred; Azure/GCP also valued)
- At least 1 year of experience in data solution architecture, design, and support
- Strong understanding of database architecture, ETL, BI, Big Data, Machine Learning, and Advanced Analytics concepts
- Hands-on experience with Spark ecosystems (knowledge of Hadoop is a plus)
- Proficiency in pipeline orchestration tools such as Airflow, Step Functions, or AWS Workflow
- Deep understanding of Lakehouse architectures, particularly Iceberg, including optimisation techniques (e.g., Compaction, Z-Order)
- Solid programming and data transformation experience with Python, SQL, and SSIS; familiarity with Docker, CI/CD, and automation tools
- Expertise in AWS services: Lambda, Glue, Crawlers, Step Functions, AWS Workflow, DynamoDB, and AWS Batch
- Experience applying DevOps and Agile principles, including Infrastructure as Code (CloudFormation, Terraform) and artefact/vulnerability management
- Awareness of core cloud services, including networking, security, storage, and IAM
- Strong communication and interpersonal skills, with the ability to collaborate across global and multicultural teams
- Experience with containerised applications (Docker) and Linux-based infrastructure is preferred
- Fluent in English
- French is a Plus
- Must be a Portuguese or European citizen or have a work permit for Portugal
Benefits
- Meal allowance of €8.32 per day
- Flexible benefits option
- Private Medical Insurance
- 22 days of annual leave (increasing every 3 years up to a maximum of 25 days)
- Training Program through KLX (Keyrus Learning Experience) Platform
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