Data Engineer

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What we offer:

Group Summary:

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.