Data Engineer

Schaeffler

Data Engineer designing and maintaining data pipelines for Schaeffler, a global technology company. Collaborating on data solutions and enhancing system performance for analytics.

Posted 5/12/2026full-timeBrasov • 🇷🇴 RomaniaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AzureCloudERPETLIoTJavaNoSQLPythonSQLTableau

About the role

Key responsibilities & impact

Data Pipeline Development: Design, construct, and maintain scalable data pipelines to automate the collection, transformation, and integration of large datasets from various sources.
Data Model Optimization: Develop and optimize data models and architectures to ensure efficient data storage and retrieval that support business analytics and reporting needs.
Collaborative Data Solutions: Work closely with data scientists, analysts, and other stakeholders to implement data solutions that drive strategic business decisions and insights.
System Performance Enhancement: Monitor, troubleshoot, and enhance the performance of data systems, ensuring data quality, integrity, and security consistently.
Documentation and Compliance: Create comprehensive documentation for data processes and workflows; ensure compliance with data governance policies and industry regulations.

Requirements

What you’ll need

Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field
Experience: Minimum of 2-3 years of experience in data engineering or related roles
Very strong language skills in English (German is a plus)
Technical Skills: Experience with integration of data from multiple data sources and IT systems (e.g., ERP/SAP, DWH/SAP-BW, Web Services, CRM/Salesforce, MES, etc.); Experience with in working with Cloud environments and services, preferably with Microsoft Azure (e.g., Azure Data Factory, Data Lake, IoT Hub, Databricks, etc.); Expertise in programming languages such as Python or Java and experience with SQL and NoSQL databases. Software development experience is a plus; Knowledge of ETL techniques and frameworks, such as ADF, PowerCenter, NiFi, Sqoop.
Analytical Skills: Data Analysis and Visualization (eg. Power BI, Tableau)
Soft Skills: good communication skills, effective team player, strong organizational skills.
Other Qualifications: attention to detail, problem solving attitude.

Benefits

Comp & perks

Onboarding & Integration : we help you settle in quickly through our onboarding program and a team that supports you
Health & Life Insurance : we provide private health plans and life insurance, so you can have peace of mind
Discounts: enjoy discounts from our partners on activities, trainings, goods etc.
Bookster Subscription: are you a passionate reader? Then you can borrow your favorite books from the Bookster Library
Professional Development: with our variety of projects and teams, you'll be able to learn new skills, develop and shape the career path that fits you best
Bonuses: performance bonuses reward your achievements, and thorough referral bonuses we thank you for helping our team grow
Gift for Special Occasions: celebrate Easter, 8th of March or the Winter Holiday
Vacation Days: we truly believe in long-term partnerships, and we’re committed to supporting your well-being with a generous vacation policy from the start of your journey with us
Meal Tickets: we’re happy to offer meal tickets as part of your everyday benefits, helping make your lunch breaks more enjoyable
Flexibility: you can balance your work and personal life with arrangements tailored to your job and responsibilities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipeline developmentdata model optimizationdata integrationprogramming languagesPythonJavaSQLNoSQLETL techniquesdata analysis

Soft Skills

communication skillsteam playerorganizational skillsattention to detailproblem solving