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Data Engineer (All Genders) Job Opening In Wrocław – Now Hiring Schaeffler

Data Engineer (All Genders)

    Poland Jobs Expertini Expertini › Poland › Jobs › Wrocław › Computer Occupations › Data Engineer (All Genders)

Job description

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership.

Does that sound interesting to you?

As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.


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

  • Experience in data modeling (ER, UML) and proficiency in SQL

  • Experience with non-relational databases such as MongoDB for example, their query languages and fields of application

  • Good analytical skills in data analysis and visualization (eg.

    Power BI, Tableau)

  • Strong interpersonal and communication skills, with the ability to work effectively in a collaborative environment

  • Experienced in agile environments (i.e. flat hierarchies in daily work), combined with agile mindset and corresponding experience in daily work

  • Awareness or first experience with GenAI (either as user or developer)

    • 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!

    • As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives.

    By appreciating our differences, we inspire creativity and drive innovation.

    In this way, we contribute to sustainable value creation for our stakeholders and society as a whole.

    Together, we advance how the world moves.


    Exciting assignments and outstanding development opportunities await you because we impact the future with innovation.

    We look forward to your application.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Schaeffler adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Poland laws and regulations

    What Is the Average Salary Range for Data Engineer (All Genders) Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Wrocław. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Interview Tips for Data Engineer (All Genders) Job Success

    Schaeffler interview tips for Data Engineer (All Genders)

    Here are some tips to help you prepare for and ace your Data Engineer (All Genders) job interview:

    Before the Interview:

    Research: Learn about the Schaeffler's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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