Currency

Data Engineer (All Genders)

Data

Data Engineer (All Genders)

Data
Full-time
Permanent
Mid
Remote

Tech stack

    English

    B2

    Cloud Computing & Azure Services

    master

    Programming (PySpark, Java, SQL)

    master

    Azure Synapse Analytics

    advanced

    Microsoft Fabric (Data Engineering)

    advanced

    Version Control (e.g., Git)

    advanced

    Python for Data Engineering

    advanced

    Data Modeling & Data Architecture

    advanced

    ETL/ELT Processes & Orchestration

    advanced

    Azure Data Factory

    regular

    Generative AI Awareness

    regular

Job description


Your Key Responsibilities


  • Developing data pipelines and applying methods and tools to collect, store, process and analyze complex data sets globally for assigned operations or functions

  • Designing, governing, building and operating solutions for large-scale data architectures and applications across businesses and functions 

  • Selecting, managing and working hands-on with big data tools and frameworks, and implementing ETL (extract, transform, load) tools and processes as well as data virtualization and federation services

  • Engineering data integration pipelines and reusable data services using cross-functional data models, semantic technologies and data integration solutions

  • Defining, implementing and applying data governance policies for all data flows of data architectures with focus on the digital platform and data lake

  • Defining and implementing policies for data ingestion, retention, lineage, access, data service API management and usage, in collaboration with data management and IT function


Your Qualifications


  • Completed studies in computer science, information technology, engineering or comparable qualification 

  • Minimum of 2-3 years of experience in data engineering or related roles

  • Fluent verbal and written communication skills in English (min. B2)

  • Proficient understanding of distributed and Cloud computing principles and technologies

  • Experience with Streaming and Event based Data Architecture

  • Experience in working with Cloud environments and services, preferably with Microsoft Azure (e.g., Microsoft Fabric, Synapse Analytics, Data Lake, Event Hub, Azure Data Explorer, Stream Analytics. etc)

  • Strong programming skills in PySpark, Java, SQL and Kusto Language; Software development experience is a plus


Our Offer

 

  • Be a part of a global company & international team with a diverse variety of backgrounds, skills and views 

  • As part of our IT team, you will actively shape the technology and solutions used by Schaeffler 

  • Grow with us! Get access to training platforms, internal & external trainings, supporting experts and the real-life challenges, where you will put all your skills in practice

  • We work in a hybrid working model (or a fully remote in a special cases) with flexible working hours. Our modern office is located in the center of Wroclaw

  • We offer attractive benefits package, such as medical and dental care, sports card, life insurance for you and your family. We are also providing access to our Mental Comfort Program

  • Our Cafeteria Platform allows you to choose from various benefit options with points monthly added to your account. Haven’t found what you are looking for? Our concierge will be happy to help! 

  • Join our CSR activities, such as tree planting, riverside cleanup, or participate in other charity events

  • Spend some time with your work colleagues during integrational events such as mountain trekking, city games and workshops. You can join also one of our many Passion Clubs like Foodies, Sports Team and Language Clubs as well!

 


Tech stack

    English

    B2

    Cloud Computing & Azure Services

    master

    Programming (PySpark, Java, SQL)

    master

    Azure Synapse Analytics

    advanced

    Microsoft Fabric (Data Engineering)

    advanced

    Version Control (e.g., Git)

    advanced

    Python for Data Engineering

    advanced

    Data Modeling & Data Architecture

    advanced

    ETL/ELT Processes & Orchestration

    advanced

    Azure Data Factory

    regular

    Generative AI Awareness

    regular

Office location

Published: 31.10.2025

Data Engineer (All Genders)

Summary of the offer

Data Engineer (All Genders)

plac Nowy Targ 28, Wrocław

Schaeffler Global Services Europe Sp. z o.o.

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