9 часов 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 datasets and data-driven decision-making tools for pricing, demand planning, and inventory management with an accent on reusable data marts, high-performance SQL, and robust pipeline operations. Focus on designing data contracts, monitoring platform health, managing access and costs, and simplifying complex supply data transformations.
Location: Hamburg, Germany
Salary: €60,000–€70,000 per year
Company
is a European e-commerce company operating at the intersection of fashion and technology, with a focus on personalizing and simplifying online shopping.
What you will do
- Own supply data and create reliable, analysis-ready datasets and reusable mart tables.
- Build, monitor, and maintain Python and GCP data pipelines.
- Simplify data transformations and prevent downstream teams from duplicating business logic.
- Document schemas, lineage, and data contracts.
- Manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks.
- Mentor junior analysts and improve SQL capabilities across the Supply organization.
Requirements
- 3+ years of professional analytics engineering experience or similar experience transforming operational data into governed analytics layers.
- Strong Python skills for ETL and orchestration, with hands-on experience in GCP, BigQuery, Git, and CI/CD.
- Advanced SQL skills, including complex CTEs, window functions, and query optimization.
- Ability to analyze complex systems and design structured improvement plans.
- Experience with platform monitoring, governance, reliability, data contracts, and cross-functional collaboration.
- Ability to balance long-term system design with immediate business value.
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 decision-making, and clear ownership.
- Inclusive environment that values acceptance, diverse perspectives, and fairness.
- Team lunches, after-work drinks, company events, and informal opportunities to connect.
- Additional employee perks are available 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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