Fynetra
This is a senior data engineering role within a capital markets–focused investment environment where data quality, governance, and scalability directly support trading, research, and portfolio decisions.
You’ll help design and build the next generation of data platforms — covering ingestion, processing, governance, and analytics — while working closely with investment teams and technology partners. The role balances hands-on engineering with architectural thinking and ownership.
This is a strong fit for someone who wants to build durable data systems in a fast-moving, investment-driven setting.
What You’ll Be Working On
Designing and maintaining cloud and on-prem data pipelines Building scalable ingestion, processing, and storage solutions Supporting and improving data governance, quality, and metadata frameworks Developing production-grade Python and SQL-based data solutions Partnering with investment, research, and analytics teams on data needs Supporting BI and reporting platforms used by business users Contributing to architecture decisions, reviews, and technical standards Mentoring engineers and helping shape the data engineering roadmap What They’re Looking For
Strong experience building modern data platforms end to end Advanced Python and SQL skills in production environments Solid understanding of data modeling and warehouse design Experience with cloud data platforms and analytics tooling Familiarity with orchestration, automation, and CI/CD practices Understanding of data governance, quality controls, and lineage Clear communicator who can work across technical and non-technical teams Experience with streaming data, real-time processing, or large-scale analytics environments is a plus. Background
Degree in computer science, engineering, or a related field Senior-level experience in data or software engineering roles Proven ability to own systems from design through delivery Why This Role
Data is treated as a strategic investment asset Direct exposure to capital markets and investment workflows Strong ownership and influence over platform direction Hybrid working with a high-performing, delivery-focused team
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Designing and maintaining cloud and on-prem data pipelines Building scalable ingestion, processing, and storage solutions Supporting and improving data governance, quality, and metadata frameworks Developing production-grade Python and SQL-based data solutions Partnering with investment, research, and analytics teams on data needs Supporting BI and reporting platforms used by business users Contributing to architecture decisions, reviews, and technical standards Mentoring engineers and helping shape the data engineering roadmap What They’re Looking For
Strong experience building modern data platforms end to end Advanced Python and SQL skills in production environments Solid understanding of data modeling and warehouse design Experience with cloud data platforms and analytics tooling Familiarity with orchestration, automation, and CI/CD practices Understanding of data governance, quality controls, and lineage Clear communicator who can work across technical and non-technical teams Experience with streaming data, real-time processing, or large-scale analytics environments is a plus. Background
Degree in computer science, engineering, or a related field Senior-level experience in data or software engineering roles Proven ability to own systems from design through delivery Why This Role
Data is treated as a strategic investment asset Direct exposure to capital markets and investment workflows Strong ownership and influence over platform direction Hybrid working with a high-performing, delivery-focused team
#J-18808-Ljbffr