8 дней назад
Analytics Engineer (all genders) - Supply Data Solutions
60 000 - 70 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (all genders) - Supply Data Solutions (Python/GCP): Building reliable, governed analytics datasets and data-driven decision-making tools for pricing, demand planning, and inventory management with an accent on reusable data marts, pipeline reliability, and data contracts. Focus on designing complex SQL transformations, monitoring GCP pipelines, enforcing access and data-quality controls, and aligning analysts, data scientists, and supply stakeholders.
Location: Hamburg, Germany
Salary: €60,000–€70,000 per year
Company
is a fast-growing European e-commerce company operating at the intersection of fashion and technology, with offices in Hamburg and Berlin.
What you will do
- Own supply data and create reliable, analysis-ready datasets and reusable mart tables.
- Simplify data transformations so downstream teams can use consistent shared logic.
- Build, monitor, and maintain Python and GCP data pipelines.
- Document schemas, data lineage, and data contracts.
- Manage IAM roles, access boundaries, cost monitoring, performance tuning, and data-validity checks.
- Mentor junior analysts and improve SQL capabilities across the Supply unit.
Requirements
- 3+ years of professional analytics engineering experience or similar experience building governed analytics layers.
- Advanced SQL skills, including complex CTEs, window functions, and query optimization.
- Strong Python skills for ETL and orchestration.
- Hands-on experience with GCP, BigQuery, Git, and CI/CD.
- Ability to analyze complex systems, design structured improvements, and balance long-term architecture with immediate business value.
- Confident collaboration with source teams, downstream consumers, data scientists, analysts, and supply stakeholders.
Nice to have
- Experience with dbt or Dagster.
- Familiarity with AWS Batch, Lambda, and Step Functions.
- Supply chain or logistics domain knowledge.
- Experience with data cataloging or data observability platforms.
Culture & Benefits
- Flat hierarchies, direct communication, pragmatic decisions, and clear ownership.
- Inclusive environment that values acceptance, diverse perspectives, and fairness.
- Team lunches, afterwork drinks, company events, and informal opportunities to connect.
- Additional employee perks are provided through the company benefits program.
Hiring process
- Apply online through the career page.
- The recruiting team will follow up after reviewing the application.
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