Expert Data Engineer (m/w/d)

Wien, Austria

REWE International Dienstleistungsgesellschaft m.b.H

Seit über 50 Jahren auf Erfolgskurs: Die REWE International AG versorgt Kundinnen und Kunden in Österreich und zehn weiteren europäischen Märkten mit Top-Qualität. Machen Sie sich selbst Ihr Bild.

View company page

Company Description

As the IT of the REWE Group Austria, with more than 600 employees, we develop innovative IT products and services for all our corporate divisions in Austria and abroad and set the tone for modern trade. 

With the rise of big data and data-driven decision-making processes, the provision and management of data is becoming increasingly important. Our team is responsible for providing a central platform for curating and managing data and enforcing centralized governance.

Job Description

  • Plan, develop and implement an optimal data architecture on the Google platform to provide a high-quality foundation for analysis and machine learning use cases.
  • Collaborate with analysts, product managers and backend developers to understand and implement data requirements.
  • Supporting the design and implementation of new extraction, transformation and loading processes from various data sources
  • Utilizing and ensuring state-of-the-art methodologies (CI/CD) to deliver a future-proof scalable form.

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 

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!

Please upload your resume to give us insight of your work experience - anonymously if you like!

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.

Apply now Apply later
  • Share this job via
  • or

Tags: Airflow APIs Architecture Big Data CI/CD Data pipelines dbt ETL GCP Google Cloud Java JSON Kafka Machine Learning NiFi Oracle Pipelines PostgreSQL Python R RDBMS XML

Perks/benefits: Career development Flex hours

Region: Europe
Country: Austria
Job stats:  6  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.