Data Engineer Bad Friedrichshall

Schwarz Unternehmenskommunikation GmbH & Co. KG
Bad Friedrichshall, Germany
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Airflow Apache HTTP Server Big Data Continuous Integration Data Validation Data Infrastructure Extract Transform Load (ETL) DevOps Python (Programming Language) Machine Learning Open Source Technology Software Engineering
+7 more
Workflow Management Systems Cloud Platform System Apache Spark Containerization Data Lakes Kubernetes Data Pipelines

Job description

Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group., * Develop and operate productive ETL pipelines for reports, analysis and machine learning and ensure their quality and sustainability

  • Use your software development skills and set new standards for development and deployment
  • Optimize the performance of data engineering solutions and guarantee their scalability
  • Ensure data quality and consistency through data validation and cleansing
  • Monitor and fix errors in the data infrastructure to minimize downtime
  • Implement data security and privacy measures
  • Work in interdisciplinary agile teams with data scientists, data engineers, product owners and departments

Requirements

  • +4 years of industry experience as a Data Engineer
  • Experience developing large scale batch & streaming ETLs in spark, preferably in Databricks
  • Expertise developing in Python. Scala knowledge is a plus
  • Good command of Apache Airflow for workflow orchestration
  • Experience working in cloud environments, preferably GCP
  • Strong hands-on experience with modern, open-source table formats such as Apache Iceberg or Delta Lake to manage large-scale data lakehouse architectures
  • Proven track record managing data access controls, CLS, RLS and cataloging workflows. Experience with Unity Catalog is a plus
  • Hands-on experience working with containerized applications, preferably orchestrated in Kubernetes
  • Experience working with Google Pub/Sub is preferred
  • Knowledge of the software development cycle and its best practices (e.g. CI/CD, DevOps, testing)
  • Analytical skills, an eye for data quality, agile mindset, independence and hands-on mentality

About the company

Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace.

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