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Polarsteps

Senior Data, Analytics Engineer

Polarsteps

. Own the data platform roadmap and set the strategy for data infrastructure and the warehouse .

Posted 11/12/2026full-timeAmsterdam • NetherlandsSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and analytics, with a strong focus on building scalable data infrastructures, ensuring data governance, and enabling self-serve analytics. Proficient in SQL, Python, and modern data warehousing solutions, while effectively collaborating with cross-functional teams to drive data-driven insights.

Highest-signal resume keywords
Data EngineeringSQLPythonData GovernanceModern Data Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringSQLPythonData GovernanceData ModelingEvent TrackingData QualityInfrastructure-as-CodeCI/CD for DataData Enrichment
Soft Skills
Excellent Communication
Tools & Technologies
DbtClickHouseSnowflakeBigQueryRedshiftAirflowDagsterMixpanelAmplitudeMetabase
Industry Keywords
B2C ProductMobile AppGDPRPersonal Data HandlingMobile AttributionA/B TestingReverse ETLCDPsAWSGCP

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSAzureBigQueryETLGoogle Cloud PlatformPythonSnowflakeSQLTerraform

About the role

Key responsibilities & impact
  • Own the data platform roadmap and set the strategy for data infrastructure and the warehouse
  • Make build-versus-buy and tooling decisions and oversee execution with DevOps
  • Design, build and maintain scalable ingestion pipelines for internal and external data sources
  • Build and maintain a clean, documented modeling layer such as dbt as the single source of truth
  • Lead data governance, including event naming and tracking standards, schema-change processes, documentation and dashboard ownership
  • Embed privacy in the data stack by categorizing, minimizing and pseudonymizing personal data
  • Own stack health through monitoring, alerting, data-quality checks and cost management
  • Define ownership across data tooling and enable self-serve analytics
  • Enable data enrichment for deeper Product and Growth insights
  • Explore safe use of LLMs such as Claude for analysis and reporting
  • Act as the data partner for Product, Engineering and Growth and help grow the data function

Requirements

What you’ll need
  • 5+ years of experience in data engineering, analytics engineering or a hybrid data role
  • Ideally experience in a B2C product or mobile app company
  • Strong SQL and Python
  • Hands-on experience modeling large event datasets in a modern warehouse such as ClickHouse, Snowflake, BigQuery or Redshift
  • Experience with dbt and an orchestration tool such as Airflow or Dagster
  • Proven track record of data governance, including tracking plans, event ownership, documentation and data quality
  • Experience with product analytics tools such as Mixpanel or Amplitude
  • Experience with BI tools such as Metabase or Looker
  • Comfortable owning infrastructure decisions across AWS, GCP or Azure
  • Experience with infrastructure-as-code such as Terraform
  • Experience with CI/CD for data
  • Excellent communication skills
  • Experience with mobile attribution or marketing data, AppsFlyer, SKAdNetwork or ad platform APIs is a bonus
  • Experience with reverse ETL or CDPs such as RudderStack or Twilio Segment is a bonus
  • Experience with experimentation data and A/B testing infrastructure is a bonus
  • Knowledge of GDPR and responsible personal-data handling in an analytics stack is a bonus

Benefits

Comp & perks
  • A yearly free flight or train ride to a random location
  • A shiny MacBook
  • Hybrid working with work from home and the office; required office attendance 2 days a week
  • Extensive home office set-up, including noise-canceling headphones and a standing desk
  • 30 days of vacation
  • Two paid Culture Days
  • Option to work from another country for up to 8 weeks a year
  • Personal development budget
  • Pension plan
  • Delicious daily team lunches
  • Monthly parties and team trips away
  • Travel costs reimbursed
  • Free Polarsteps Travel Books