Senior Data & Analytics Engineer

Polarsteps; Pays-Bas; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Polarsteps, Amsterdam-based travel app with millions of users, seeks a Senior Data & Analytics Engineer to own data platform, governance, and insights workflows. You will shape our data infra, partner with Product and Growth, and enable self-serve analytics across teams.

You’ll work closely with Engineering and Growth stakeholders to deliver reliable data, scalable pipelines, and privacy-conscious data handling in a fast-growing product environment.

Qualifications

• 5+ years in data engineering, analytics engineering, or a hybrid data role in a B2C product or mobile app.
• Strong SQL and Python, with experience modelling large event datasets in a modern warehouse.
• Experience with dbt and orchestration tools like Airflow or Dagster.
• Proven data governance experience: tracking plans, event ownership, documentation, data quality.
• Experience with product analytics tools (Mixpanel, Amplitude) and BI tools (Metabase, Looker).
• Comfortable with cloud infrastructure (AWS/GCP/Azure) and IaC (Terraform).
• Ownership-driven mindset and strong communication.

Responsabilités

• Own the data platform roadmap: set the strategy for our data infrastructure and warehouse, make the build-vs-buy and tooling calls, and oversee execution together with DevOps.
• Design, build and maintain scalable ingestion pipelines for both internal (product events, back-end data) and external sources (ad platforms, attribution, app store data).
• Build and maintain a clean, documented modeling layer (e.g. dbt) that serves as the single source of truth for analysts, data scientists and self-serving PMs.
• Lead data governance: define and enforce event naming and tracking standards, a schema change process, documentation, and dashboard ownership.
• Embed privacy in the data stack: make sure personal data is categorized, minimized and pseudonymized before it reaches downstream and third-party tools, in close collaboration with Legal
• Own the health of the stack: monitoring, alerting, data quality checks and cost management, so issues are caught before they reach stakeholders.
• Define who owns what across our data tooling (e.g. Mixpanel, our warehouse and BI layer), and help teams get the most out of self-serve analytics.
• Enable data enrichment to unlock deeper insights for Product and Growth.
• Explore how we can safely use LLMs (such as Claude) on top of our data for analysis and reporting.
• Act as the go-to data partner for Product, Engineering and Growth, and help grow the data function as Polarsteps scales.

Connaissances

SQL

Python

Data governance

dbt

Airflow

Dagster

Mixpanel

Amplitude

Metabase

Looker

Cloud platforms

Terraform

CI/CD for data

Outils

ClickHouse

Snowflake

BigQuery

Redshift

Description du poste

Looking for a new adventure? You\'ve come to the right place. We\'re an Amsterdam-based team of 100 (and counting) with 25+ nationalities amongst us! A varied bunch of "Citizens of The World" with a wide range of skills and hundreds of thousands of kilometers under our travel belts. And we have something important in common (other than our very well-worn passports): We want to change the way people travel. And that\'s exactly what we\'re doing, with the travel app to plan, track, and relive trips in a smart and beautiful way.

Polarsteps has over 23 million users already, but, for us, this is just the beginning. We have big plans for the future, and so we need even more talented and enthusiastic people to help us on our journey. Want to know more about us? Here you go.

Your expedition at Polarsteps - Senior Data & Analytics Engineer

Over the past 10+ years, Polarsteps has grown massively through word-of-mouth, thanks to our product and tech department building a top-quality user experience for all our travelers. As our first Senior Data & Analytics Engineer, you\'ll own the foundation that every data-driven decision at Polarsteps is built on. Product & growth teams run experiments and analyse the data every week, leadership need clear reports for investors, and all of that depends on data that is reliable, modelled and compliant. You\'ll set the direction for our data platform, bring structure to data governance, and own the data infra that helps our product managers, marketers and data scientists do their job even better. You\'ll work closely with the Head of Engineering on infrastructure and architecture, and with the Head of Growth and product teams on what the business needs from data.

Your itinerary

What your journey at Polarsteps will look like day-to-day.

• Own the data platform roadmap: set the strategy for our data infrastructure and warehouse, make the build-vs-buy and tooling calls, and oversee execution together with DevOps.
• Design, build and maintain scalable ingestion pipelines for both internal (product events, back-end data) and external sources (ad platforms, attribution, app store data).
• Build and maintain a clean, documented modeling layer (e.g. dbt) that serves as the single source of truth for analysts, data scientists and self-serving PMs.
• Lead data governance: define and enforce event naming and tracking standards, a schema change process, documentation, and dashboard ownership.
• Embed privacy in the data stack: make sure personal data is categorized, minimized and pseudonymized before it reaches downstream and third-party tools, in close collaboration with Legal
• Own the health of the stack: monitoring, alerting, data quality checks and cost management, so issues are caught before they reach stakeholders.
• Define who owns what across our data tooling (e.g. Mixpanel, our warehouse and BI layer), and help teams get the most out of self-serve analytics.
• Enable data enrichment to unlock deeper insights for Product and Growth.
• Explore how we can safely use LLMs (such as Claude) on top of our data for analysis and reporting.
• Act as the go-to data partner for Product, Engineering and Growth, and help grow the data function as Polarsteps scales.

The equipment in your backpack

What we\'re hoping you\'ll bring with you.

• 5+ years of experience in data engineering, analytics engineering or a hybrid data role, ideally in a B2C product or mobile app company.
• Strong SQL and Python, and hands-on experience modeling large event datasets in a modern warehouse (e.g. ClickHouse, Snowflake, BigQuery, Redshift).
• Experience with dbt and an orchestration tool such as Airflow or Dagster.
• Proven track record of bringing structure to data governance: tracking plans, event ownership, documentation and data quality.
• Experience with product analytics tools (e.g. Mixpanel, Amplitude) and BI tools (e.g. Metabase, Looker).
• Comfortable owning infrastructure decisions: cloud (AWS/GCP/Azure), infrastructure-as-code (e.g. Terraform), CI/CD for data.
• A pragmatic, ownership-driven mindset: you\'re happy to set the strategy and get your hands dirty, and you enjoy the hygiene work others tend to avoid.
• Excellent communication skills: you can explain trade-offs to engineers and to non-technical stakeholders alike.

Bonus points if you have

• Experience with mobile attribution or marketing data (e.g. AppsFlyer, SKAdNetwork, ad platform APIs).
• Experience with reverse ETL or CDPs (e.g. RudderStack, Twilio Segment).
• Experience with experimentation data and A/B testing infrastructure.
• Knowledge of GDPR and handling personal data responsibly in an analytics stack.

1st class Polarsteps extras

Some cool things