{"id":2273884,"url":"https://alion.io/job/gowish-onskeskyen-senior-ml-data-engineer","title":"Senior ML Data Engineer","company":{"id":2654235,"name":"GoWish, Ønskeskyen","domain":"onskeskyen.dk","url":"https://alion.io/company/gowish-onskeskyen","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Copenhagen, Denmark"],"countries":["DK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":190000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Druid","optional":false},{"name":"Feast","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Redis","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-16T07:20:28Z","employer_posted_date":null,"last_verified_at":"2026-09-16T07:20:28Z","board_verified":false,"closed_at":null,"days_open":33,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":33},"description":"About GoWish, Ønskeskyen ☁️At GoWish, we’re building the world’s leading wish-list and social shopping platform - a place where you can make a real impact and have fun doing it.\nWe’re on a mission to reinvent gifting for millions. We win together, driven by curiosity, ownership, and bold ideas that turn into real products. We experiment cross-functionally, push for excellence, and keep things playful as we grow - together.\n\nTeam & role overviewWe are looking for a systems-minded Senior ML Data Engineer to own the offline-to-online feature infrastructure that powers our real-time recommendation and search engines at scale. You will be building the low-latency data syncs and feature-serving layers that bridge our analytical warehouses with operational databases, caches, and Feature Stores. This is a role for a performance-driven engineer who excels at pipeline orchestration (Airflow, dbt), Infrastructure as Code (Terraform, Docker), and database tuning, ensuring our recommendation systems receive reliable data under strict low-latency SLAs. If you thrive on solving complex data synchronization challenges, scaling operational storage for millions of users, and acting as the operational bridge between Data Science and Backend Engineering - you will play a critical role in powering our product's core ML capabilities.\n\nWhat you'll do:Offline-to-Online Feature Pipelines: Build and operate resilient feature pipelines syncing transformed data from analytical warehouses (e.g., BigQuery) into operational storage layers (e.g., AlloyDB, Redis, Feature Stores) to serve real-time ML recommendation models at scale.\n\nPipeline Orchestration and Transformations: Design, test, and maintain robust Apache Airflow DAGs and modular dbt transformations to automate end-to-end data ingestion and feature generation under strict low-latency SLAs.\n\nInfrastructure as Code and Reliability: Provision, scale, and automate cloud data infrastructure using Terraform, Docker, and CI/CD pipelines, implementing automated data quality testing and monitoring across all feature syncs.\n\nCross-Functional System Design: Partner directly with Data Scientists and Backend Engineers to define online/offline feature contracts, optimize database schemas for sub-second queries, and eliminate training-serving skew for millions of active users.\n\nWhat we’re looking for 🌟We imagine that you have:\n4+ years of experience\n\nOperational Data Pipelines: Proven experience moving batch features from analytical warehouses (BigQuery, Snowflake) into low-latency online stores (AlloyDB, Redis, Feature Stores) to serve real-time ML recommendation models.\n\nInfrastructure as Code (IaC): Deep hands-on experience provisioning, scaling, and managing cloud data infrastructure using Terraform, Docker, and modern CI/CD automation pipelines.\n\nPipeline Orchestration & Transformations: Strong track record building, scheduling, and maintaining workflow orchestrations (e.g., Airflow, Dagster) and modular data transformation frameworks (e.g., dbt).\n\nDatabase Performance Tuning: Advanced SQL skills across both OLAP and OLTP systems. Ability to optimize schemas, indexing, partitioning, and queries.\n\nIt is further seen as an advantage to have experience with:\nProduction Feature Management: Experience managing Feature Stores (e.g., Feast, Tecton) or low-latency key-value stores (e.g., Redis) to serve online ML features with zero training-serving skew.\n\nReal-Time OLA): Experience with ClickHouse, Pinot, Druid or others for ultra-fast aggregations over live event streams.\n\nEvent Streaming: Hands-on experience with streaming tools like GCP Pub/Sub, Kafka, or Flink for real-time feature updates.\n\nWhy GoWish should sit at top of your career wish list 💙At GoWish, we believe great work comes from people who feel energized, supported, and excited to show up every day. That’s why we’ve built a workplace where celebration, growth, and genuine enjoyment are part of the journey - not perks on the side.\nTake your birthday off with Happy Birthday Leave, enjoy 30 days of vacation to fully recharge, and join a team that fills the year with events and playful happenings. We invest in your future with pension and insurance, fuel your days with a weekly lunch scheme, and keep you going with unlimited snacks and sodas - because work should feel good.\nAt GoWish, you don’t just build great products. You build a great work life.\n\nPractical informationWe collaborate in a flexible hybrid setup, with most of our magic happening at our bright, modern office in Østerbro - perfectly placed between Nordhavn and Østerport Station. We’re ready for you to join us as soon as you are.\n👉 Ready to help shape a platform that already empowers 18+ million users (and counting)? Join us at GoWish - and let’s build the future of data-driven innovation together.\nDon’t wait to apply - we review applications continuously and may close the position once the right candidate is found.","description_format":"text","description_chars":4942,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer & Utility Software"],"lifecycle":[{"event":"open","at":"2026-10-11T08:17:05Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":0.6,"p_active":0.699,"p_room":0.75,"age_days":32,"expected_fill_days":36,"reasons":["seen:32","win:late"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/gowish-onskeskyen-senior-ml-data-engineer","json_url":"https://alion.io/job/gowish-onskeskyen-senior-ml-data-engineer.json","meta":{"generated_at":"2026-10-19T23:48:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2558,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2654235},"rest":"https://alion.io/mcp/rest/get_company?id=2654235"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgowish-onskeskyen-senior-ml-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgowish-onskeskyen-senior-ml-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgowish-onskeskyen-senior-ml-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gowish-onskeskyen-senior-ml-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgowish-onskeskyen-senior-ml-data-engineer"}]}