{"id":1591925,"url":"https://alion.io/job/matchtech-lead-data-engineer-start-up-scale-up-experience-required","title":"Lead Data Engineer - Start-Up / Scale-up experience required","company":{"id":2073484,"name":"Matchtech","domain":"matchtech.com","url":"https://alion.io/company/matchtech-com","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"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":{"min":100000,"max":100000,"currency":"GBP","period":"year","gross":null,"usd_annual":132337},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"ElasticSearch","optional":true},{"name":"GCP","optional":true},{"name":"OpenSearch","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-04T14:57:34Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Lead Data Engineer (Permanent, London on-site 4 Days) - Sponsorship is not available for this role\nA high-growth AI software company is looking for a Lead Data Engineer to own and scale the data foundations behind an AI-driven operations platform used by property teams. This is a hands-on, high-ownership role where you'll define the data architecture, set engineering standards and build systems that power product analytics and modern AI capabilities. Start-up or Scale-up experience required coupled with a computing degree from a Russell Group university.\nWhat you'll do\nArchitect and build scalable data pipelines and distributed data systems\nDesign ingestion, transformation and storage patterns for operational and AI workloads\nDeliver batch and real-time/streaming pipelines\nBuild and optimise vector search and retrieval pipelines that support AI features\nImplement monitoring, observability and data quality frameworks\nDrive security, reliability and governance across the data layer\nPartner closely with backend and AI engineers to support training, inference and product delivery\nInfluence technical direction and help shape the future data team as the company scales\nWhat we're looking for\nDemonstrable experience in data engineering or backend engineering with proven architecture ownership\nStart-Up / Scale-Up experience\nRussell Group university degree in a computing subject\nGood level of Python engineering skills\nStrong relational database experience (PostgreSQL preferred) including performance and query optimisation\nExposure to NoSQL systems\nComfortable building from scratch in a fast-moving, product-led environment\nExperience with vector databases and vector search in modern AI systems\n Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures\nCloud experience (AWS, GCP or Azure), GCP is a plus\nWhy join\nHigh impact and ownership as an early senior hire\nWork with a strong engineering team on real AI product challenges\nCompetitive salary\nIf you are an experienced Data Engineer seeking a challenging opportunity to lead and innovate within a transformative AI company, we encourage you to apply now and become a vital part of our client's mission.\nUnfortunately sponsorship is not available for this role.","description_format":"text","description_chars":2263,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T16:30:05Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.399,"p_room":0.72,"age_days":47,"expected_fill_days":90,"reasons":["conf:3","agency","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":132337,"is_top_pay":false},"html_url":"https://alion.io/job/matchtech-lead-data-engineer-start-up-scale-up-experience-required","json_url":"https://alion.io/job/matchtech-lead-data-engineer-start-up-scale-up-experience-required.json","meta":{"generated_at":"2026-10-05T01:05:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1407,"day_limit":5000,"remaining_today":3593,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}