Data Engineer

Posted One Month Ago
Be an Early Applicant
Timișoara, Timiș, ROU
Hybrid
140K-140K Annually
Entry level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Dream big. With Us. Let's create the future of mobility, together.
The Role
Build and maintain scalable data pipelines, warehouses, lakes, and cloud data platforms supporting analytics and business intelligence. Develop ETL/ELT workflows, optimize data models and databases, ensure data quality, security, governance, and reliability, and collaborate with IT, engineering, analysts, scientists, and business stakeholders. Contribute to dashboards, reports, data products, technical documentation, and data management best practices.
Summary Generated by Built In

Job descriptions may display in multiple languages based on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.

Job Responsibilities:

What you can expect

  • You will be part of our talented and versatile team aiming to design, develop, and maintain scalable data solutions that support business intelligence, analytics, and data-driven decision-making
  • You will be responsible for building and optimizing data pipelines, data warehouses, and cloud-based data platforms while ensuring data quality, security, and reliability
  • You will design, develop, and maintain robust ETL/ELT pipelines for collecting, transforming, and loading data from multiple sources
  • You will be working in close collaboration with the IT teams and the engineering community to support business and operational needs

What you'll bring

  • Data Pipeline Development: Experience with ETL/ELT tools and frameworks, good knowledge of data ingestion automation and processing workflows with focus on building reliable and scalable data pipelines for data quality and accessibility. Strong programming skills in Python, Scala, Java, or similar languages are required as technical qualifications
  • Data Architecture & Storage: Proven competencies of developing and maintaining scalable data warehouse and data lake solutions, designing efficient data models to support reporting, analytics, and machine learning applications and optimizing database structures, indexing, and query performance (e.g., SQL, NoSQL). Familiarity with Apache Spark, Databricks, Kafka, or similar big data technologies
  • Cloud & Infrastructure: Proficiency in implementing and managing cloud-based data solutions using platforms such as Azure, AWS, or Google Cloud. Strong skills that support the need of working with containerized and distributed systems using technologies such as Docker and Kubernetes. Proven knowledge of Infrastructure as Code (Terraform, Azure Bicep, AWS CDK) is a preferred qualification
  • Data Quality & Governance: Experience with implementing data validation, monitoring, and quality assurance processes. Familiarity with ensuring compliance with data security, privacy, and governance standards (e.g., GDPR) as well as documenting data flows, architectures, and technical standards
  • Analytics & Collaboration: Excellent communication and capability to partner with business stakeholders, software developers, data analysts, and data scientists to understand data requirements. Proven continuous learning mindset and passion for emerging technologies in support development of dashboards, reports, and data products. Initiative in providing technical expertise and guidance in data management best practices. Experience with data visualization tools such as Power BI, Tableau, or Grafana represents a preferred qualification
  • Version Control: Advanced knowledge of Git and collaborative workflows (GitHub/GitLab)

What we offer

  • We offer an annual gross salary starting from 140,000 RON, complemented by our benefits package
  • Flexible working hours and hybrid work
  • Health and wellbeing programs
  • Meal allowance of 35 RON per day, offered through meal tickets
  • Team events and company initiatives
  • Extensive training and exciting internal development opportunities
Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.


AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.


Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Magna Electronics

Skills Required

  • Experience developing reliable and scalable ETL/ELT data pipelines and automated data ingestion workflows
  • Strong programming skills in Python, Scala, Java, or similar languages
  • Experience developing and maintaining scalable data warehouses and data lakes
  • Knowledge of SQL, NoSQL, database optimization, indexing, and query performance
  • Familiarity with Apache Spark, Databricks, Kafka, or similar big data technologies
  • Proficiency implementing and managing cloud-based data solutions using Azure, AWS, or Google Cloud
  • Experience working with containerized and distributed systems using Docker and Kubernetes
  • Experience implementing data validation, monitoring, quality assurance, security, privacy, and governance processes
  • Advanced knowledge of Git and collaborative GitHub or GitLab workflows
  • Knowledge of Infrastructure as Code using Terraform, Azure Bicep, or AWS CDK
  • Experience with data visualization tools such as Power BI, Tableau, or Grafana

What the Team is Saying

Doug
Dave
Sreeni
Sam
Jim

Magna International Compensation & Benefits Highlights

  • Healthcare Strength — Company materials highlight comprehensive medical, dental, vision, disability and life insurance in the U.S., paired with wellness initiatives and a confidential Employee & Family Assistance Program.
  • Retirement Support — U.S. filings and recruiting pages describe a 401(k) with a 50% match on the first 6%, a deferred profit‑sharing component, and at some sites a 3% base company contribution after six months.
  • Strong & Reliable Incentives — Profit sharing and performance‑linked rewards are embedded in the total‑rewards philosophy and documented in filings, with recent materials indicating these programs remain active.

Magna International Insights

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The Company
HQ: Aurora, Ontario
171,000 Employees
Year Founded: 1957

What We Do

We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.

Why Work With Us

At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.

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Magna International Teams

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About our Teams

Magna International Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: Not Specified
HQGlobal Headquarters - Aurora, Ontario, Canada
Bangalore, Karnataka, India
Graz, Austria
Lowell, Massachusetts
Monterrey, Mexico
Munich, Germany
Pune, Maharashtra, India
Sailauf, Germany
Saltillo, Mexico
US Headquarters - Troy, Michigan
Learn more

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