{"id":3753160,"url":"https://alion.io/job/mannhummel-data-engineer","title":"Data Engineer","company":{"id":450543,"name":"Mann+Hummel","domain":"mann-hummel.com","url":"https://alion.io/company/mann-hummel-2","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":93,"open_postings":7,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brno, Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-05T02:00:00Z","employer_posted_date":"2026-09-05","last_verified_at":"2026-11-05T21:22:09Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"About the role:\nWe 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.\nYour responsibilities:\nMaintain and optimize ETL and data pipelines in Azure Databricks using PySpark, SparkSQL, and Data Lake\nDesign and implement new data pipelines and workflows for real-time and batch manufacturing data\nEnsure data quality, performance, and stability across the cloud data platform\nSupport and enhance Power BI dashboards used by manufacturing and business teams\nMaintain and troubleshoot SAP/IDOC integrations and related data flows\nCollaborate with Product Owner and DMP team members on new use cases and data architecture\nTake ownership of the data engineering domain and contribute to building a scalable, standardized platform\nYour profile:\nEducation: Degree in Computer Science, Information Technology, Data Engineering or a related field or equivalent practical experience\nExperience: 2-3+ years in Data Engineering\n 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\n Nice-to-have Skills: Understanding of Medallion architecture (bronze/silver/gold), experience working with IDOC\nLanguages: English - professional working proficiency, knowledge of Czech is a plus\n Competencies: Analytical thinking, ownership mindset, independence, problem-solving, collaboration, and openness to learning\nWe offer:\nWork that is meaningful and has a real, positive impact on the sustainability of the planet through products we develop and manufacture\nAttractive salary starting from 80 000 CZK based on your experience plus yearly bonus\n6 weeks of vacation\n14 400 CZK net per year for Cafeteria\nMeal vouchers of 150 CZK/months (Brno) or canteen (Nová Ves)\nPension Insurance contribution 2,6 %\nOther interesting benefits (up to 4.750 CZK per year as contribution for public transportation in Brno, etc.)\nPleasant working environment: coffee and a wide range of tea, relax room / work out zone\nHealthy company culture - we employ smart people who are responsible, trustworthy and make use of our support to do their job well\nA real opportunity for career growth and possibility to learn from experienced colleagues\nInternal and external trainings, LinkedIn Learning\nAre you interested in this opportunity?\nPlease 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.\nWe 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.\nPlease note that this role does not include relocation support. 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