2 дня назад
Senior Analytics Engineer (Quick Commerce)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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