Analytics Engineer
Role details
Job location
Tech stack
Job description
As an Analytics Engineer at Floryn, you'll be part engineer, part analyst. We're not a dashboard factory and we don't want someone who just builds what's asked. You should care about how the company actually works and what makes the machine tick, enough to question a request when the metric is wrong or the data doesn't support it, and to come back with something better. You'll build the scalable analytical foundations in dbt that the whole team relies on, work close to the data itself, and make the analysts around you fast so they spend their time answering the questions that matter. You'll work with Analysts, ML Engineers, Developers and Commercial teams to understand what they need and help get them there.
What you'll be doing
- Architecting, optimising and transforming data models in dbt so analysts and business stakeholders can move quickly without breaking things.
- Building out our semantic layer so metrics are defined once and trusted everywhere.
- Developing automated root cause analysis and a traffic-light system on our key metrics (think Amazon Weekly Business Review) so the business sees what's moving and why, without waiting on a manual deep-dive.
- Advancing automation that lets the team spend less time validating data and more time using it.
- Setting the standard for how the analytics code base is built and maintained, with version control, documentation, testing and continuous integration.
- Rapidly delivering new concepts through prototyping that can be put in front of stakeholders for feedback and iteration.
Requirements
What we think you'll need to be successful:
- Strong SQL and real comfort working close to the data, not just the table on top.
- Comfortable in a terminal and with version control. dbt experience is a plus, not a must; we'll teach you the stack.
- You build scalable, reliable, reusable data models.
- You keep the code base trustworthy with testing, docs and CI, and you push back when standards slip.
- You've worked in a cloud warehouse (BigQuery, Snowflake, Redshift or similar).
- You can take a vague business question and work out the right metric, not just build what was asked.
- You work well with non-technical stakeholders and communicate clearly.
- 2+ years in a data, engineering or analytics role close to the data.
Nice to have:
- Experience with orchestration tools like Prefect, Airflow or Dagster.
Benefits & conditions
- Salary between €4,000 and €6,000 gross per month (based on 40 hours), depending on experience.
- 30 vacation days and 8% holiday pay, plus pension contribution.
- A generous €2,500 personal development budget for books, courses and conferences, plus a well-being allowance.
- MacBook and a noise-cancelling headset, and any other high-end gear you need to do your best work.
- Travel comfortably: 1st class NS Business Card, an (electric) lease bike, or €0.23/km with your own transport.
- Hybrid working, with a healthy bias toward the office because that's where the speed and the good ideas come from. You also get a working-from-home allowance for your internet and toilet paper.
- An international scale-up culture full of energy, ambition and impact.
- Legendary company outings, ski trips and offsites with the Floryn team. Sneak preview: https://www.instagram.com/gofloryn
- Got something extra in mind? Just ask us.
If you're ready to join the data revolution and become part of the Floryn family, send us your CV and a cover letter that shows your personality and why you're the right fit. Bonus points if you can make us laugh. We can't wait to meet you.