Partners Group AG

Data Engineer

Partners Group AG Singapore, Singapore

Financial Services · 1,001-5,000 employees

Oct 06
data-engineer Mid (2-5 yrs) Full-time Singapore
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About the role

The Data Engineer will design, build, and maintain scalable data pipelines and platforms to ensure secure and efficient access to organizational data. They will collaborate with business stakeholders and engineering teams to turn business requirements into trusted analysis and decision support solutions.

What they look for

Data engineering SQL Python Java Snowflake AWS Data pipelines ETL Data warehousing Orchestration Data modeling Database management BI Data quality Cloud computing Data governance

Requirements

Candidates should hold a bachelor's or master's degree in a quantitative discipline and possess at least 3 years of experience in data engineering or database management. Strong proficiency in SQL, programming languages like Java or Python, and experience with cloud platforms such as AWS are required.

Benefits

Professional international working environment Challenging and rewarding career On-the-job training Mentorship opportunities 25 vacation days One-month sabbatical after every five years of service Lunch stipend Team events Volunteer opportunities

Full description

What it's about

Team Context

The Fund & Investment Management platform team within the Business Applications Group is dedicated to managing the product life cycle, with a focus on delivering comprehensive solutions for transaction processing, accounting, valuation, and portfolio management for Partners Group’s direct and indirect investments. This team is instrumental in supporting investment life cycle management solutions across all asset classes, facilitating activities related to portfolio management, ESG monitoring, and investment valuation.

Role Purpose

A Data Engineer designs, builds, and supports scalable data pipelines, platforms, and information services that provide secure, trusted, and efficient access to organizational data. This role partners with business stakeholders to turn business questions into trusted analysis, reporting, and decision support within the Fund & Investment Management domain.

Key Responsibilities

Data Engineering & Platform Delivery

  • 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

Stakeholder & Team Engagement

  • 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

Risk & Compliance

  • Embed access control, security, privacy, retention, and governance into data services
  • Ensure data processing aligns with approved lineage, quality, and operational-control requirements

What we expect Qualifications

  • Education: Bachelor's or master’s degree in Computer Science, Information Technology, Engineering, or quantitative discipline preferred
  • Experience: At least 3 years in data engineering, solution engineering, or database experience, ideally in financial services
  • Track Record: Demonstrated experience building data pipelines and platforms with strong programming and SQL capability
  • Communication: Excellent communicator with team-oriented approach

Technical Expertise

  • Databases: Confirmed hands-on expertise with relational databases, data warehouses, and SQL
  • Data Warehousing: Deep knowledge of Snowflake
  • ETL/Data Integration: Practical experience with ETL tools and data pipeline orchestration
  • BI & Analytics: Understanding of BI (e.g., Qlik) and Advanced Data Analytics concepts
  • Programming Languages: Strong programming skills with advanced knowledge of Java and/or Python
  • Cloud Computing: AWS experience with services such as RDS, Fargate, Glue
  • AI Coding Assistants: Experience with modern AI coding assistants such as GitHub Copilot, Cursor, or Claude Code

Good to Have

  • Certification: AWS Data Engineer Specialty or AWS Solution Architect Associate
  • Agile Frameworks: Experience with SAFe, Kanban, or Scrum
  • Databases: Experience with PostgreSQL, MS SQL
  • Orchestration Tools: Apache Airflow, Control-M
  • Frontend: React and TypeScript
  • Messaging & Streaming: Kafka, SQS, Amazon Kinesis

What we offer

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. We offer you a fantastic opportunity for you to grow:

  • Professional, international working environment
  • Challenging, rewarding career within a growing company
  • Collaborative environment, with on-the-job training and mentorship opportunities
  • 25 vacation days
  • One-month sabbatical after every five years of service
  • Lunch stipend
  • Fun office and team events, including volunteer opportunities to connect with and help our local communities

www.partnersgroup.com

Please be aware, fraudsters may pose as Partners Group recruiters. All genuine representatives can be identified by a verified sign on their LinkedIn profiles. If you suspect fraud or have doubts, contact us immediately at hr@partnersgroup.com

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