Data Engineer
Summary
Builds and maintains data pipelines and AI-enabled workflows to automate investment research, transforming raw enterprise data into structured, LLM-ready formats for Sofina’s global investment team.
About Sofina
Sofina is a global investment company, listed on Euronext Brussels, with a Net Asset Value of EUR 11 bn. Sofina's mission is to partner with leading entrepreneurs, backing them with patient capital and supportive advice to foster sustainable growth of their businesses. Relationships and alignment are at the heart of what we do. Our purpose is to create enduring value, for everyone.
Sofina has investments in Europe, Asia and the United States in various sectors, with a particular focus on Consumer and retail, Digital transformation, Education, Healthcare and life sciences as well as Sustainable supply chains.
For more information, please visit
www.sofinagroup.com
What you will do: As a Data Engineer, you will be working as part of the IT team and partnering closely with colleagues throughout the organization to drive the development of data products. You will design data stacks, build AI-enabled workflows, and develop the internal applications that support the sourcing, evaluation, and management of our investments. This is a highly hands-on role for someone who enjoys solving real business problems through technology and is comfortable working across data engineering, back-end development, and practical front-end development. The role can be calibrated from junior to mid-level depending on experience and capabilities, offering opportunities to develop your skills and contribute across different teams and projects.
Your responsibilities: Design, build, and maintain robust end-to-end data pipelines supporting real-time and batch ingestion of venture, private equity, and fund-of-funds data. Transform raw, unstructured enterprise content into rich, structured, permission-aware representations optimized for search, retrieval and LLM-powered analysis helping to automate and enhance investment research workflows. Partner closely with the various teams to define how enterprise knowledge should be exposed to LLMs/agents/web-app to establish an efficient and secure business workflow with agents. Rapidly prototype innovative data and AI products, gather user feedback, and turn successful prototypes into reliable production-grade tools. Own end-to-end quality of your data products and ensuring accuracy, freshness, reliability and performance for business users. Share knowledge and provide guidance to team members through collaboration, code reviews, documentation, and mentoring where appropriate.
Who you are: You have several years of relevant working experience in data engineering and / or software engineering. You have hands-on experience building data-intensive applications, including ELT pipelines and workflows that process both structured and unstructured data. You are proficient in Python, SQL, dbt and Dagster, with experience developing on modern data warehouses such as Snowflake, Fabric, or similar technologies/tools. You are product-oriented and focused on building tools that are useful, intuitive, reliable, and widely adopted by their users. You enjoy collaborating effectively with others, communicate clearly, share progress proactively, and respond constructively to direct feedback. You are comfortable navigating ambiguity, making sound technical trade-offs, and taking ownership from concept through delivery. You hold an undergraduate degree in Computer Science, Engineering, or another relevant technical discipline. You have strong written and spoken English skills and a genuine interest in investment, technology, and applied AI. You actively incorporate AI tools and LLMs into your workflow. You enjoy helping others succeed and have ideally contributed to the development of team members or junior colleagues through mentoring, coaching, knowledge sharing, or technical leadership.
What we offer Location: Singapore An attractive compensation package, including short-term and long-term incentives and a comprehensive suite of benefits. The opportunity to work directly with investment professionals on proprietary data, AI, and research tools that create tangible value, with access to resources needed to scale successful ideas. A long-term professional journey focused on value creation, personal growth, continuous learning and professional growth within the team and organisation. Applicants must meet the applicable work and residence permit requirements for Singapore.
Sofina has investments in Europe, Asia and the United States in various sectors, with a particular focus on Consumer and retail, Digital transformation, Education, Healthcare and life sciences as well as Sustainable supply chains.
For more information, please visit
www.sofinagroup.com
What you will do: As a Data Engineer, you will be working as part of the IT team and partnering closely with colleagues throughout the organization to drive the development of data products. You will design data stacks, build AI-enabled workflows, and develop the internal applications that support the sourcing, evaluation, and management of our investments. This is a highly hands-on role for someone who enjoys solving real business problems through technology and is comfortable working across data engineering, back-end development, and practical front-end development. The role can be calibrated from junior to mid-level depending on experience and capabilities, offering opportunities to develop your skills and contribute across different teams and projects.
Your responsibilities: Design, build, and maintain robust end-to-end data pipelines supporting real-time and batch ingestion of venture, private equity, and fund-of-funds data. Transform raw, unstructured enterprise content into rich, structured, permission-aware representations optimized for search, retrieval and LLM-powered analysis helping to automate and enhance investment research workflows. Partner closely with the various teams to define how enterprise knowledge should be exposed to LLMs/agents/web-app to establish an efficient and secure business workflow with agents. Rapidly prototype innovative data and AI products, gather user feedback, and turn successful prototypes into reliable production-grade tools. Own end-to-end quality of your data products and ensuring accuracy, freshness, reliability and performance for business users. Share knowledge and provide guidance to team members through collaboration, code reviews, documentation, and mentoring where appropriate.
Who you are: You have several years of relevant working experience in data engineering and / or software engineering. You have hands-on experience building data-intensive applications, including ELT pipelines and workflows that process both structured and unstructured data. You are proficient in Python, SQL, dbt and Dagster, with experience developing on modern data warehouses such as Snowflake, Fabric, or similar technologies/tools. You are product-oriented and focused on building tools that are useful, intuitive, reliable, and widely adopted by their users. You enjoy collaborating effectively with others, communicate clearly, share progress proactively, and respond constructively to direct feedback. You are comfortable navigating ambiguity, making sound technical trade-offs, and taking ownership from concept through delivery. You hold an undergraduate degree in Computer Science, Engineering, or another relevant technical discipline. You have strong written and spoken English skills and a genuine interest in investment, technology, and applied AI. You actively incorporate AI tools and LLMs into your workflow. You enjoy helping others succeed and have ideally contributed to the development of team members or junior colleagues through mentoring, coaching, knowledge sharing, or technical leadership.
What we offer Location: Singapore An attractive compensation package, including short-term and long-term incentives and a comprehensive suite of benefits. The opportunity to work directly with investment professionals on proprietary data, AI, and research tools that create tangible value, with access to resources needed to scale successful ideas. A long-term professional journey focused on value creation, personal growth, continuous learning and professional growth within the team and organisation. Applicants must meet the applicable work and residence permit requirements for Singapore.