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About the Role
The Data Engineer designs, builds, and supports scalable data pipelines, platforms, and information services. This role partners with business stakeholders to translate business questions into trusted analysis, reporting, and decision support within the Fund & Investment Management domain.
Responsibilities
- Design and implement scalable data ingestion, transformation, and distribution capabilities
- Build, enhance, and maintain data platforms, datasets, and reusable data products
- Design logical and physical data structures appropriate to the use case and platform standards
- Improve availability, performance, observability, recoverability, and cost efficiency of data services
- Automate data operations, quality controls, deployment, and maintenance activities
- Build and maintain data pipelines using modern orchestration tools
- Apply engineering practices to improve data quality, lineage, and trustworthiness
- Partner with business stakeholders to understand information needs and service expectations
- Collaborate with Solution Engineers and Solution Architects on integration and solution design
- Work with source-system and consuming teams to resolve quality and interface issues
- Embed access control, security, privacy, retention, and governance into data services
- Ensure data processing aligns with approved lineage, quality, and operational-control requirements
Requirements
- At least 3 years in data engineering, solution engineering, or database experience, ideally in financial services
- Demonstrated experience building data pipelines and platforms with strong programming and SQL capability
- Excellent communicator with team-oriented approach
- Confirmed hands-on expertise with relational databases, data warehouses, and SQL
- Deep knowledge of Snowflake
- Practical experience with ETL tools and data pipeline orchestration
- Understanding of BI (e.g., Qlik) and Advanced Data Analytics concepts
- Strong programming skills with advanced knowledge of Java and/or Python
- AWS experience with services such as RDS, Fargate, Glue
- Experience with modern AI coding assistants such as GitHub Copilot, Cursor, or Claude Code
Skills
- SQL
- Java
- Python
- Snowflake
- AWS
- RDS
- Fargate
- Glue
- GitHub Copilot
- Cursor
- Claude Code
- Qlik
- SAFe
- Kanban
- Scrum
- PostgreSQL
- MS SQL
- Apache Airflow
- Control-M
- React
- TypeScript
- Kafka
- SQS
- Amazon Kinesis
Location
- Remote
Work Type
- Full-time
Experience Level
- 3+ years
Education Level
- Bachelor's or master’s degree in Computer Science, Information Technology, Engineering, or quantitative discipline preferred
Benefits
- 25 vacation days
- One-month sabbatical after every five years of service
- Lunch stipend
- Professional, international working environment
- Challenging, rewarding career within a growing company
- Collaborative environment, with on-the-job training and mentorship opportunities
- Fun office and team events, including volunteer opportunities to connect with and help our local communities
About the Company
- Partners Group is a global financial institution that retains the culture, pace and agility of a start-up.
- As a growing firm, we are committed to attracting, developing and retaining the very best talent, by offering a workplace where results are truly recognized and rewarded.