Senior Data & Analytics Engineer — Shape Data for Travel

Polarsteps; Amsterdam; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid working

MacBook provided

Home office setup

30 days vacation

Culture days

Travel perks

Office in Amsterdam

Pension plan

Team lunches

Job summary

Polarsteps, Amsterdam-based, is seeking a Senior Data & Analytics Engineer to own the foundation of data-driven decision making. You will shape the data platform, governance, and infrastructure, enabling product, growth, and data science teams to work with reliable, compliant data.

You'll collaborate closely with engineering and growth Leaders to align on business needs and ensure scalable, privacy-conscious data pipelines powering analytics and insights across Polarsteps' expanding user base.

Qualifications

• 5+ years of experience in data engineering, analytics engineering or a hybrid data role.
• Strong SQL and Python, and hands-on experience modeling large event datasets in a modern warehouse.
• 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 (Mixpanel, Amplitude) and BI tools (Metabase, Looker).
• Comfortable owning infrastructure decisions: cloud (AWS/GCP/Azure), IaC, CI/CD for data.

Responsibilities

• Own the data platform roadmap and lead strategy for data infrastructure and warehouse.
• Design, build and maintain scalable ingestion pipelines for internal and external data sources.
• Build and maintain a clean modeling layer that serves analysts, data scientists and PMs.
• Lead data governance including event naming, schema changes, documentation and dashboard ownership.
• Embed privacy in the data stack and work with Legal on data handling.
• Own health of the stack: monitoring, alerts, data quality checks and cost management.
• Define ownership across data tooling and enable self-serve analytics.
• Enable data enrichment to unlock deeper product insights.
• Explore safe use of LLMs on data for analysis and reporting.
• Partner with Product, Engineering and Growth to scale the data function.

Skills

SQL

Python

Data modeling

Data governance

Cloud platforms

dbt

Airflow

Dagster

Mixpanel

Amplitude

Tools

ClickHouse

Snowflake

BigQuery

Redshift

Job description

Polarsteps, Amsterdam-based, is seeking a Senior Data & Analytics Engineer to own the foundation of data-driven decision making. You will shape the data platform, governance, and infrastructure, enabling product, growth, and data science teams to work with reliable, compliant data.

You'll collaborate closely with engineering and growth Leaders to align on business needs and ensure scalable, privacy-conscious data pipelines powering analytics and insights across Polarsteps' expanding user base.