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21 час назад

Data Analytics Engineer (Supply Data Solutions)

60 000 - 70 000
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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