Timisoara, RO
Live, first seen by us 87 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop and maintain ETL/ELT pipelines that collect, transform and load data
Build and optimize data warehouses, data lakes and cloud-based data platforms
Ensure data quality, security and reliability across data solutions
Work with IT teams and engineers to meet business and operational data needs
design, develop, and maintain robust ETL/ELT pipelines for collecting, transforming, and loading data from multiple sources
building and optimizing data pipelines, data warehouses, and cloud-based data platforms
while ensuring data quality, security, and reliability
You will be working in close collaboration with the IT teams and the engineering community to support business and operational needs
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 87
Up longer than most. Similar jobs usually come down between day 6 and day 56.
At Magna International, jobs usually come down by about day 50.
From 13,630 similar postings that came down, and 21 of Magna International’s. Coming down is not always a hire.
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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
- 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 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
- 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)
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Yes. We’ve followed one other Data Engineer job there since July 2026. It is still up.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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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.
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.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
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Timisoara, RO
- 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
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