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Open nowPosted 14 days ago

Data Engineering & Analytics Manager

Insify14 open roles

Pay
€85,000 – €110,000 a year
Where
Amsterdam
Work mode
Hybrid
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Your applicationOpen nowData Engineering & Analytics ManagerInsify · Amsterdam
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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Insify postings stay open a median of 28 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 14 days ago

Insify median: 28 days open

The posting

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.

About the Role

What you'll be doing

  • Leading 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
  • Running discovery with the teams we serve: understanding what they need from data, and bringing the platform and datasets that enable them
  • Owning 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
  • Making 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
  • Bringing 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
  • Challenging our ideas and bringing your own. We encourage each other to act this way, so you can expect the same from others

What you'll need

  • You'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
  • You came to data from engineering, or you've worked as an analytics engineer: you model data in code, with version control, tests and CI. You're fluent on the analytics side too. You still love shipping, you review your team's work, and they trust your judgement on it
  • A 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
  • Ownership & impact instinct - when needed you go beyond your team's boundaries to get to results
  • You 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

Nice to have

  • Experience with reporting that has to reconcile: bordereaux, revenue, cash, ledger
  • Experience building B2B products, especially in insurance & fintech
  • Experience working on a product distributed across different country markets
  • Experience with Databricks, dbt and event tracking (Snowplow or similar)

Our stack

How we hire

  • Leadership. We look at your experience with performance management, personal development and building teams.
  • Data Model Review. You review a change to our warehouse models with two of our engineers.
  • Data Platform Design. A modelling and platform problem close to what we deal with.
  • Values Interview. We look at your approach to work, and how it adds to our Values.
  • Meet the Founder.

We offer

  • Competitive compensation. We offer a salary in the range of 85k-110k EUR plus performance-based equity grants
  • Hybrid. 3 days in the office, 2 from home, up to 4 weeks a year from abroad, 25 holiday days
  • Pension. 6% employer contribution
  • Wellbeing budget. €50 net a month via Epassi, from the gym to takeaway, rolls over
  • Learning and coaching. Internal leadership programs and coaching
  • Central Amsterdam office. Shared lunches, dogs, Friday drinks, high-spec MacBook Pro

About Insify

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