{"id":2010786,"url":"https://alion.io/job/londonstockexchange-lead-data-engineer","title":"Lead Data Engineer","company":{"id":44904,"name":"London Stock Exchange","domain":"londonstockexchange.com","url":"https://alion.io/company/londonstockexchange","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":{"grade":"B","score":75,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","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":106000,"max_usd":188000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Datadog","optional":false},{"name":"dbt","optional":false},{"name":"Informatica","optional":false},{"name":"Kanban","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-01T00:11:55Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-31T11:08:08Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":122},"description":"Join LCH, a leading clearing house, as a Lead Data Engineer. You will be responsible for setting the technical direction of the Reporting & Data Analytics platform, delivering features, and ensuring ongoing stability during and after the transformation to a cloud-native architecture. You will lead a team of engineers, design and build solutions, and ensure the platform evolves into a scalable, governed platform that supports members, clients, and internal partners.\nMissions\nLead the technical direction and delivery of the Reporting & Data Analytics platform, ensuring compliance with regulatory requirements and high standards of availability, accuracy, lineage, and governance.\nOversee the migration from legacy Oracle/Informatica stacks to a cloud-native, Snowflake-based data platform, taking accountability for successful legacy decommissioning.\nLead a team of engineers in designing and building solutions in line with engineering principles, ensuring the platform evolves into a scalable, governed platform that supports members, clients, and internal partners.\nProfil recherché\n - Practical and relevant AI experience in data engineering / migrations use cases- Seniority and credibility to influence group level architecture and governance bodies\n- Enterprise scale data modelling\n- Quality-first approach\n- 15+ years of hands-on software engineering experience, including at least 5+ years as a technical lead, with consistent track record of delivering high-quality solutions\n- Immutable, incremental and versioned data architectures\n- Passionate about metrics driven approach and leading with data\n- Prior experience working with Informatica PowerCenter or similar solutions\n- ELT data architectures, using dbt or similar\n- Strong engineering background with the ability to engage deeply in design and implementation\n- Data warehouse modelling approaches\n- Solid experience of data-centric solution using SQL, PL/SQL and Python\n- Deep expertise in\n- Shown leadership of enterprise scale Snowflake (or similar) data platform implementations\n- Detail oriented problem solver, comfortable “diving-deep”\n- Data governance, lineage and control frameworks\n- Cloud data lake and data warehouse solutions\n- Experience operating in regulated, high availability environments\n- Degree in Computer Science, Software Engineering or equivalent\n- Knowledge and practical experience running technology both on prem and in cloud\n- Experience of large-scale real-time and batch process orchestration, optionally with third-party orchestration engines\n- Good understanding of cyber security standards and practices and follows secure-by-design principle\n- Experience of working with agile frameworks like Scrum, Kanban\n- Background working in financial industry\n- Experience of modern observability platforms e.g. 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