{"id":3167888,"url":"https://alion.io/job/insify-data-engineering-analytics-manager","title":"Data Engineering & Analytics Manager","company":{"id":449864,"name":"Insify","domain":"insify.nl","url":"https://alion.io/company/insify","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":6,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Leadership","role_family":"Leadership","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":85000,"max":110000,"currency":"EUR","period":"year","gross":null,"usd_annual":123241},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"SQL","optional":true},{"name":"Unity","optional":true}],"status":"live","first_seen_at":"2026-10-23T13:58:48Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-03T22:37:14Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Insurance is a numbers business, and most of those numbers are harder to trust than they look. You would lead the team that defines the numbers Insify runs on, from the event a customer fires on our website to the report a risk carrier audits months later.\nAbout the Role\nYou would lead our Data & Analytics team of 3-4 engineers end to end: ingestion, the warehouse and its models, the metric layer, and the analysis and reporting built on top of it. It is a small team with a big surface, so there is nowhere to hide and nothing you can't reach.\nWe are deliberately not splitting data engineering from analytics. At our size the hard problems sit in the handover between the two, and we want one person who enjoys that whole puzzle.\nThe team serves four groups with genuinely different needs. Growth wants hourly to daily signals and can live with approximately right. Carrier reporting and corporate finance are calendar-locked and need numbers that reconcile and survive an audit months later. Actuarial needs depth and lineage over speed. Prioritising here is arbitration between things that fail in different ways, and the arbitration is yours.\nIt's a hands-on role. You can open the warehouse and read the models, you review a new data model before it ships, and your team trusts your technical judgement because you still use it. The job is still the team: its own game, its communication, and each person in it. When something slips, hands-on work is the first thing that yields.\nWhat you'll be doing\nLeading a team of 3-4 data engineers and analysts end to end: what it builds, how it runs in production, and who you hire and grow to get there\nRunning discovery with the teams we serve: understanding what they need from data, and bringing the platform and datasets that enable them\nOwning the trade-offs between Growth, carrier reporting, finance and actuarial: deciding what the team works on, driving alignment with key partners across other teams, and saying no when the answer is no\nMaking the platform scale: a new country, carrier or product should mean configuration and reused models, and recurring manual work, like carrier reporting and cash reconciliation, should turn into automation\nBringing engineering excellence to how the team works: data contracts with product teams, testing in CI, alerts that get resolved, a way to try changes before they hit production\nChallenging our ideas and bringing your own. We encourage each other to act this way, so you can expect the same from others\nWhat you'll need\nYou've managed or led a data team before, including hiring, feedback and growing people. It doesn't have to be for long, but it has to be real and you have to want more of it\nDepth on one side of the data stack and working fluency on the other. You still love shipping, you review your team's work, and they trust your judgement on it\nA track record of shaping what gets built, not only how: you've turned business problems into data priorities, cut scope, and can show the decisions that followed\nOwnership & impact instinct - when needed you go beyond your team's boundaries to get to results\nYou get real leverage out of AI in your daily work, and you can say where it helped, and where it hurt. Your team gets that from you: you try new tools and ways of working first, and bring the ones that stick\nNice to have\nExperience with reporting that has to reconcile: bordereaux, revenue, cash, ledger\nExperience building B2B products, especially in insurance & fintech\nExperience working on a product distributed across different country markets\nExperience with Databricks, dbt and event tracking (Snowplow or similar)\nOur stack\nDatabricks with Unity Catalog, dbt with SQL-based transformation, running on AWS.\nNone of this is a hard requirement, and you don't need to know all of our stack. We care more about how you reason about data, systems and teams than which tools you have used. Strong on most of it? Apply.\nHow we hire\nFive conversations, each with a clear purpose, and you hear where you stand after every one:\nLeadership. We look at your experience with performance management, personal development and building teams.\nData Model Review. You review a change to our warehouse models with two of our engineers.\nData Platform Design. A modelling and platform problem close to what we deal with.\nValues Interview. We look at your approach to work, and how it adds to our Values.\nMeet the Founder.\nYou get the outcome within three days of your last round, with specific feedback either way.\nWe offer\nCompetitive compensation. We offer a salary in the range of 85k-110k EUR plus performance-based equity grants\nHybrid. 3 days in the office, 2 from home, up to 4 weeks a year from abroad, 25 holiday days\nPension. 6% employer contribution\nWellbeing budget. €50 net a month via Epassi, from the gym to takeaway, rolls over\nLearning and coaching. Internal leadership programs and coaching\n Central Amsterdam office. Shared lunches, dogs, Friday drinks, high-spec MacBook Pro\nAbout Insify\nInsify is a high-growth scale-up backed by €43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg. In five years, we've expanded from the Netherlands into France and Germany, and we're just getting started. Our mission: become the European leader in AI-powered SME insurance.\nWe aren't just building a company; we're leading a revolution. Our culture is intense, high-stakes, and mission-driven. We hire smart, ambitious \"owners\" who possess a relentless drive to win. This is an environment for those who thrive on challenges, value intellectual honesty, and share our mindset of becoming a global category leader.\nOur founding team consists of seasoned entrepreneurs who have previously built iconic businesses like HelloFresh, Bloomon, and SumUp. We bring that same bias for speed, scale, and high standards to one of the most structurally broken experiences in financial services. Together, we combine that deep fintech and e-commerce expertise with cutting-edge AI to stay ahead of the curve.","description_format":"text","description_chars":6077,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Apple Macbook","Equity"],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","InsurTech"],"lifecycle":[{"event":"open","at":"2026-10-23T17:48:18Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":10,"expected_fill_days":57,"reasons":["conf:2","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":123241,"is_top_pay":false},"html_url":"https://alion.io/job/insify-data-engineering-analytics-manager","json_url":"https://alion.io/job/insify-data-engineering-analytics-manager.json","meta":{"generated_at":"2026-11-04T03:04:09Z","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":4713,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":449864},"rest":"https://alion.io/mcp/rest/get_company?id=449864"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finsify-data-engineering-analytics-manager"},{"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%2Finsify-data-engineering-analytics-manager"},{"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%2Finsify-data-engineering-analytics-manager"},{"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/insify-data-engineering-analytics-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finsify-data-engineering-analytics-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3167888}},{"tool":"search_jobs","arguments":{"company":"insify.nl","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3167888},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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