QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The Business Data & Analytics (BDA) Team develops applications and business insights for senior stakeholders. Its data platform supports the team’s applications and analytical tools, alongside work in data science, analysis and applied AI.
Your future role within QRT
We are seeking a Data Engineer to help build and maintain the BDA data platform. You will work directly with business stakeholders, translating open-ended questions into reliable datasets, analyses and tools. The role is expected to involve the following activities:
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Design, build and operate data pipelines and datasets on AWS using services including S3, Lambda, Step Functions, Glue and Athena.
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Define infrastructure as code and deliver changes through CI/CD.
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Integrate internal and external data sources, validating data quality and reliability.
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Build reporting and BI views and communicate findings to non-technical stakeholders.
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Use agentic coding tools in day-to-day development and design data and systems that AI agents can use safely.
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Contribute to LLM-powered projects, including document extraction, natural-language data access and automated data quality.
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Share ownership of the team’s systems, documenting design decisions, assumptions and limitations.
Your present skillset
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A degree in Computer Science, Engineering, Mathematics, Statistics or another relevant technical discipline.
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At least three years’ experience building and operating production data pipelines and datasets.
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Strong hands-on experience with AWS, including IAM.
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Strong Python and SQL skills, with the ability to write clean, structured and tested code.
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Experience with infrastructure as code and agentic coding tools, including reviewing and verifying their output.
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Strong analytical and problem-solving skills, intellectual curiosity and a consulting mindset.
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A proactive, organised and versatile approach, with enthusiasm for BI, analysis and data science alongside engineering.
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Comfortable working through problems where requirements are not fully defined.
Desirable to have experience or a willingness to learn in the following areas
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Terraform.
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Dash, FastAPI or similar frameworks for dashboards, reporting and data applications.
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LLMs, including agents, tool use, retrieval or MCP.
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AI-friendly data architectures, including machine-readable data contracts, catalogues and metadata.
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Applying machine learning or statistical methods to business problems.
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Spark or PySpark.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.