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Senior Data, Analytics Engineer
Polarsteps. Own the data platform roadmap and set the strategy for data infrastructure and the warehouse .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAirflowAmazon 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