Germany onlyCompany Description
Fashion and lifestyle, 6,500 employees, 13 department stores, online stores in Germany, Poland, Austria and Switzerland, over 2,000 brands, 25 restaurants, bars & confectioneries, 14 first-class services, three hairdressing salons and always a special shopping experience - that's Breuninger. Founded in 1881, Breuninger is a traditional company that goes international, clearly defines its goals and creates innovative opportunities.
Job Description
The Data Engineering team supplies Breuninger's Data Platform with all the data that is required for different data products like reporting dashboards, marketing analyses, data science and many other use cases. Our mission is to provide the raw data from various source systems in the Data Platform (Google Cloud / BigQuery). For this purpose, we operate over 100 data pipelines with different technologies. As data experts, we also support data-driven work at Breuninger and are consultants for teams around data architecture and data transformation.
- As a Data Engineer (m/f/d) at Breuninger, you will contribute to and improve our data platform (Google Cloud / BigQuery)
- You are responsible for the design, implementation and maintenance of data pipelines (Python, Airflow, dbt Cloud, Kubernetes)
- You provide and improve the data infrastructure for our data pipelines (Terraform, Google Cloud)
- You consult other teams on setting up their data processes
- You take on DevOps tasks, automate recurring processes and operate CI/CD pipelines (Gitlab, Terraform)
- You drive the exchange of knowledge within the team and the company and thus support data-driven work in the company
Qualifications
- You have at least 2 years of relevant experience in the field of data engineering
- You have experience in programming with Python
- You have good SQL knowledge
- You have experience with Airflow or other comparable orchestration software (Dagster, Prefect, ...)
- You have a basic understanding of database technologies (PostgreSQL, Oracle, ...)
- You are experienced with the stable operation of ELT/ETL data pipelines
- You already have experience with at least one cloud provider (AWS, GCP, Azure, ...)
- You are familiar with different big data technologies (Apache Beam, Apache Spark, ...) and data architectures (streaming, batch, ...)
- You have an "automate everything" mindset and DevOps is a matter of course for you
- Ideally, you have already gained experience with BigQuery, Terraform, Kubernetes and Docker
- You have a good command of the English language
Additional Information
With us you will have the opportunity to work in a modern, agile and appreciative environment. Does this appeal to you? You will find a team at Breuninger in which you can feel comfortable and make a lasting impact.
Attractive salary package with company pension plan and voluntary social benefits such as vacation pay and Christmas bonus
30% employee discount on all products and services, including catering, hairdressers, etc.
Personal and professional development opportunities including the management development program
Maximum flexibility for vacation days in the form of additional paid vacation days through salary conversion
Family-friendly working hours for your work-life balance
Corporate benefits and attractive discounts from up to 21,000 companies
Company bike leasing at low cost and without problems through deferred compensation
Have we aroused your interest?
Then we should get to know each other quickly.
If you have any questions, please do not hesitate to contact Katrin.
We look forward to receiving your detailed online application with details of your availability and salary expectations.
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