Expert Data Engineer (m/w/d)

at  REWE Group

ADDITIONAL INFORMATION

• Long-term, interesting and varied work for a reliable employer in a supportive team
• A family-friendly company culture with flexible working hours and remote working options available according to your individual needs
• Numerous training and further development opportunities within the Group (5% of working time for self-organized training and education)
• Staff shopping and travel discounts
• Easy public access
• An industry-standard, attractive and performance-based annual gross salary starting at 57,000 Euro (on a full-time basis) with the possibility of higher pay according to experience and qualifications
  No matter where you are in your career, we have a path for you. Whether you’re looking for your first job, advancement in your field, or a new career shift. We’re proud to employ great people who are passionate about their jobs. But they’re all different. No matter who you are, what you need and where you’re going, REWE Group can be a part of it. Apply now!

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We promote a diverse and inclusive work environment. Therefore, we welcome applications from people of different gender, age, cultural or social background, sexual identity and applications from people with disabilities. In addition, we would like to increase the proportion of women in technical professions and are particularly pleased to receive applications from women for this position.

QUALIFICATIONS

• Experience with cloud platforms, preferably Google Cloud.
• Experience in creating scalable data pipelines.
• Familiarity with custom ETL design and maintenance.
• Knowledge of XML & JSON data formats.
• Experience with relational databases (Oracle, PostgreSQL or similar).
• Programming skills in R, Python, Java etc.
• Experience in creating data workflows via Kafka, Apache NiFi, Apache Airflow or similar tools.
• Experience in communicating via REST APIs.
• General experience in delivering a scaled data and analytics platform.
• Knowledge of dbt (data build tool) for data transformation and modeling.
• Independent and structured way of working.
• High level of ownership and ability to learn new technologies in a fast-paced environment.
• English knowledge in spoken and written

Please refer the Job description for details