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2 дня назад

Senior Analytics Engineer (Quick Commerce)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Analytics Engineer (Quick Commerce) (Python/SQL/Spark/Airflow): Designing and maintaining data pipelines, data models, ETL processes, and analytics solutions that support Quick Commerce decision-making with an accent on data quality, performance, governance, and scalability. Focus on building large-scale data processing systems, translating business metrics into technical solutions, and creating dashboards for organizational visibility.

Location: Hybrid in Berlin, Germany, with face-to-face collaboration at the Berlin campus 2 days per week

Company

hirify.global is a global local delivery and quick commerce platform operating in around 65 countries.

What you will do

  • Design and implement data pipelines, data models, and analytics solutions for Quick Commerce and DataMesh.
  • Partner with regional, business, product, data science, analytics, application, and engineering teams to define data requirements and technical solutions.
  • Build and maintain ETL processes that preserve data quality and integrity while reducing latency and processing time.
  • Develop dashboards that provide visibility into data and performance metrics.
  • Collaborate on data catalogs, access controls, governance processes, and standardized coding practices.
  • Mentor peers and improve the performance and scalability of data systems built with Google Cloud, Apache Spark, and Airflow.

Requirements

  • Bachelor’s degree in computer science, information systems, mathematics, statistics, or a related field.
  • 3+ years of experience in data engineering, analytics, or a related role.
  • Experience with large-scale data processing frameworks and tools such as Hadoop, Spark, and SQL.
  • Strong programming skills in Python, R, or Java, with proficiency in SQL.
  • Expertise in data modeling, database design, data warehousing, and relational databases such as MySQL or PostgreSQL.
  • Understanding of data governance, data quality, and data security, plus the ability to explain technical concepts to technical and non-technical stakeholders.

Nice to have

  • Master’s degree in a related field.
  • Familiarity with data privacy regulations such as GDPR and CCPA.

Culture & Benefits

  • Hybrid work model with regular in-person collaboration in Berlin.
  • 27 days of holiday, increasing with length of service.
  • €1,000 educational budget, language courses, parental support, and Udemy Business access.
  • Health checkups, meditation, gym and bicycle subsidies.
  • Employee share purchase plan, sabbatical bank, public transportation discount, insurance, pension plan, and meal and food vouchers.
  • Relocation support and information for moving to Berlin.

Hiring process

  • Interview preparation resources are available, including common interview questions.
  • Applications are reviewed for role and level alignment before the next stage.

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