{"id":19453,"url":"https://alion.io/job/blinkapp-senior-data-engineer","title":"Senior Data Engineer","company":{"id":5545,"name":"Blink","domain":"blinkapp.com","url":"https://alion.io/company/blinkapp","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":120,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":87000,"max_usd":172000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":39},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-04-28T00:00:00Z","employer_posted_date":"2026-04-28","last_verified_at":"2026-10-17T07:02:16Z","board_verified":true,"closed_at":null,"days_open":172,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":172},"description":"London (in office 3 days/ week)\nProduct and Engineering\nReporting to our CISO\nWe're not just closing the digital divide; we're reconnecting distributed organisations, enabling seamless communication, and re-engaging employees like never before. Blink, a mobile-first employee experience platform, puts everything employees need right in their hands. With teams in Boston, London, and Sydney, we're making waves worldwide, partnering with industry leaders like Domino's, JD Sports and McDonald's.\nData plays a critical role in how we build, operate and scale the platform - from powering internal insights to enabling Blink IQ, our customer-facing analytics product.\nWe’re looking for a Senior Data Engineer to help shape and scale Blink’s data platform as we continue to grow.\nThe Role\nYou will be one of the first dedicated hires in our data function, helping establish the foundations of Blink’s data platform and engineering practices.\nYour focus will be on the infrastructure and platform layer - building and maintaining data ingestion pipelines, improving reliability and enabling scalable analytics across the business and our customer-facing products.\nThis is a hands-on role with significant influence over how the platform evolves. You will help modernise parts of our stack, improve performance and reliability, and support the development of Blink IQ 2.0, our customer-facing analytics product.\nYou’ll work closely with engineering, DevOps and stakeholders across the business, and help shape how the wider data function grows over time.\nWhat You’ll Do\nBuild and evolve the data platform\n Own and improve data ingestion pipelines across our stack \n Design and implement orchestration for data workflows \n Productionise data processes and ensure they run reliably at scale \nImprove platform reliability and engineering standards\n Establish CI/CD practices across the data platform \n Build monitoring, alerting and data quality checks \n Improve observability across pipelines and workflows \nSupport analytics and product insights\n Contribute to the development of Blink IQ 2.0, our customer-facing analytics product \n Help ensure data is reliable, scalable and accessible across the organisation \n Support analytics and reporting needs across teams \nCollaborate across engineering and the business\n Work with DevOps on shared infrastructure and deployment practices \n Support ad-hoc data needs and help stakeholders access reliable insights \n Contribute to architectural decisions as the data platform evolves\nRequirements\nWhat We’re Looking For\n Strong SQL skills, including performance optimisation and complex queries \n Experience building and maintaining data pipelines at scale \n Experience with a modern data stack (e.g. Snowflake, dbt, Fivetran, Debezium or similar) \n Experience with orchestration tools such as Airflow, Dagster or Prefect \n Proficiency in Python for building production data workflows \n Familiarity with data warehousing concepts and modelling patterns \n Experience working with cloud platforms and infrastructure tooling \n Comfortable working across the stack - from ingestion through to analytics use cases \n Strong communication skills and ability to collaborate with technical and non-technical teams \nStartup or scale-up experience is a plus.\nBenefits\nWhy Blink?\nYou will have the opportunity to be part of something impactful, large-scale, and meaningful.\nMost importantly, you’ll work for a company with a strong purpose, with an ambitious and supportive team embarking on a journey most start-ups can only dream of!\nBenefits include:\nCompetitive salary.\nStock options on starting and additional high performer grants annually! 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