{"id":3522912,"url":"https://alion.io/job/qube-research-technologies-data-engineer-bda","title":"Data Engineer - BDA","company":{"id":706156,"name":"Qube Research & Technologies","domain":"qube-rt.com","url":"https://alion.io/company/qube-research-and-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":172,"ghost_share":0.145,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":204,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":203000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"FastAPI","optional":true},{"name":"Function Calling","optional":true},{"name":"Machine Learning","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-30T10:02:45Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-30T21:42:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nThe 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.\nYour future role within QRT\nWe 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:\nDesign, build and operate data pipelines and datasets on AWS using services including S3, Lambda, Step Functions, Glue and Athena.\n\nDefine infrastructure as code and deliver changes through CI/CD.\n\nIntegrate internal and external data sources, validating data quality and reliability.\n\nBuild reporting and BI views and communicate findings to non-technical stakeholders.\n\nUse agentic coding tools in day-to-day development and design data and systems that AI agents can use safely.\n\nContribute to LLM-powered projects, including document extraction, natural-language data access and automated data quality.\n\nShare ownership of the team’s systems, documenting design decisions, assumptions and limitations.\n\nYour present skillset\nA degree in Computer Science, Engineering, Mathematics, Statistics or another relevant technical discipline.\n\nAt least three years’ experience building and operating production data pipelines and datasets.\n\nStrong hands-on experience with AWS, including IAM.\n\nStrong Python and SQL skills, with the ability to write clean, structured and tested code.\n\nExperience with infrastructure as code and agentic coding tools, including reviewing and verifying their output.\n\nStrong analytical and problem-solving skills, intellectual curiosity and a consulting mindset.\n\nA proactive, organised and versatile approach, with enthusiasm for BI, analysis and data science alongside engineering.\n\nComfortable working through problems where requirements are not fully defined.\n\nDesirable to have experience or a willingness to learn in the following areas\nTerraform.\n\nDash, FastAPI or similar frameworks for dashboards, reporting and data applications.\n\nLLMs, including agents, tool use, retrieval or MCP.\n\nAI-friendly data architectures, including machine-readable data contracts, catalogues and metadata.\n\nApplying machine learning or statistical methods to business problems.\n\nSpark or PySpark.\n\nQRT 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. 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