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Location
In office (Brno)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Sep 5, 2026. Mann+Hummel scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mann+Hummel is a family-owned German filtration company headquartered in Ludwigsburg that makes air, oil, fuel and cabin air filters, intake systems, filtration materials and membranes for vehicles, industry, buildings and water treatment. Active in filtration since 1941, it operates more than 80 locations worldwide and owns brands such as Purolator, whose US business is based in Fayetteville, North Carolina, alongside large US plants in Gastonia and Wichita. It hires machine and setup operators, quality and applications engineers, supply chain planners, sales account managers, IoT and digital interns and German working students.

About the role:

We are looking for a Data Engineer to join our Digital Manufacturing Platform (DMP) team at MANN+HUMMEL. You will help build a global, cloud-based platform that collects and processes real-time data from manufacturing lines and machines, enabling smarter decision-making across our plants. This role combines modern data engineering with real industry impact-supporting scalable, Industry 4.0 solutions used worldwide.

Your responsibilities:

  • Maintain and optimize ETL and data pipelines in Azure Databricks using PySpark, SparkSQL, and Data Lake
  • Design and implement new data pipelines and workflows for real-time and batch manufacturing data
  • Ensure data quality, performance, and stability across the cloud data platform
  • Support and enhance Power BI dashboards used by manufacturing and business teams
  • Maintain and troubleshoot SAP/IDOC integrations and related data flows
  • Collaborate with Product Owner and DMP team members on new use cases and data architecture
  • Take ownership of the data engineering domain and contribute to building a scalable, standardized platform

Your profile:

  • Education: Degree in Computer Science, Information Technology, Data Engineering or a related field or equivalent practical experience
  • Experience: 2-3+ years in Data Engineering
  • Required Skills: Strong knowledge of Azure Databricks or similar (e.g., AWS Glue, EMR, etc.) and PySpark / SparkSQL, SQL, Data Lake and data modeling, proficiency in Power BI
  • Nice-to-have Skills: Understanding of Medallion architecture (bronze/silver/gold), experience working with IDOC
  • Languages: English - professional working proficiency, knowledge of Czech is a plus
  • Competencies: Analytical thinking, ownership mindset, independence, problem-solving, collaboration, and openness to learning

We offer:

  • Work that is meaningful and has a real, positive impact on the sustainability of the planet through products we develop and manufacture
  • Attractive salary starting from 80 000 CZK based on your experience plus yearly bonus
  • 6 weeks of vacation
  • 14 400 CZK net per year for Cafeteria
  • Meal vouchers of 150 CZK/months (Brno) or canteen (Nová Ves)
  • Pension Insurance contribution 2,6 %
  • Other interesting benefits (up to 4.750 CZK per year as contribution for public transportation in Brno, etc.)
  • Pleasant working environment: coffee and a wide range of tea, relax room / work out zone
  • Healthy company culture - we employ smart people who are responsible, trustworthy and make use of our support to do their job well
  • A real opportunity for career growth and possibility to learn from experienced colleagues
  • Internal and external trainings, LinkedIn Learning

Are you interested in this opportunity?

Please send us your current CV as soon as possible. We would also welcome a few words about what resonates with you in this job opportunity.

We will carefully review every CV. If it meets the specified requirements, we will contact you by phone to discuss further details. Otherwise, you will receive a written notification from us.

Please note that this role does not include relocation support. Candidates must be able to work from the stated location using their own arrangements.

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