21 час назад
Data Analytics Engineer (Supply Data Solutions)
60 000 - 70 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analytics Engineer (Supply Data Solutions) (Python/GCP): Building reliable, governed datasets and end-to-end data-driven decision-making tools for supply operations with an accent on reusable data marts, high-performance SQL, and monitored pipelines. Focus on designing data contracts, improving platform reliability, managing access and costs, and aligning data scientists, analysts, and supply stakeholders.
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 offices in Hamburg and Berlin.
What you will do
- Take ownership of supply data and create reliable, analysis-ready datasets.
- Identify shared data needs across forecasting, optimisation, and reporting, then build reusable mart tables.
- Simplify data transformations so downstream teams can use consistent business logic.
- Build, monitor, and maintain Python and GCP data pipelines.
- Document schemas, lineage, and data contracts while managing IAM roles, access boundaries, costs, performance, and data validity.
- Mentor junior analysts and improve SQL capabilities across the Supply Unit.
Requirements
- At least 3 years of professional data engineering experience, including building governed analytics layers from operational data.
- 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 optimisation.
- Ability to analyse complex systems and create structured improvement plans.
- Experience with platform monitoring, governance, reliability, and data quality validation.
- Confident cross-functional 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.
- Background in supply chain or logistics.
- Exposure to data cataloguing and data observability platforms.
Culture & Benefits
- Flat hierarchies, direct communication, pragmatic decision-making, and clear ownership.
- Inclusive environment that values diverse backgrounds and perspectives.
- Team lunches, after-work drinks, and company events.
- Additional employee perks are provided through the company benefits programme.
Hiring process
- Apply online through the career page.
- The recruiting team will follow up after reviewing the application.
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