Data Engineer

The SGB-SMIT Group is a specialized transformer manufacturer with roots in Europe and locations in Europe, Asia and the United States. The focus has always been on the claim of making an active contribution to a sustainable energy future with reliable transformer technology. SGB-SMIT Group transformers are used worldwide in key projects for the energy transition – for example in wind and solar power plants, industrial applications or in the energy infrastructure of urban agglomerations.

As an essential link in the electricity chain – between generation, transmission and distribution – the transformers of the SGB-SMIT Group ensure stable, efficient and secure energy flows. The product portfolio includes power transformers, distribution transformers, cast-resin transformers and special solutions for data centers, industry and e-mobility, among others. This diversity enables individual solutions for a wide range of requirements and applications.

With over 3,250 employees worldwide, SGB-SMIT Group stands for sustainability, quality and innovation. In close cooperation with energy suppliers, industrial customers and infrastructure operators, solutions are developed that are designed for long-term reliability, efficiency and sustainability.

What we offer 🏝️ :

At the RETRASIB, we are motivated by our mission to provide a stable and sustainable energy supply for our customers around the world. Our lean decision-making process keeps us closely connected to our employees and the successes of our company. We value personal relationships among colleagues, fostering a collaborative environment for our sustainable growth:

Our benefits:

• Salary Information: For this role, the salary range will be communicated to candidates before the first interview, in accordance with the internal salary transparency policy. The offered salary will be determined based on the job grade, role responsibilities, competencies, relevant experience, and the complexity of the work.

• Job Stability: We offer a stable work environment with long-term development opportunities.

• Performance Bonuses and Rewards: We recognize and reward achievements through bonuses or incentives.

• Annual Salary Increases: Salaries may be reviewed annually based on performance evaluations.

• Flexible Schedule: We offer a flexible work schedule to ensure a healthy work-life balance.

• Medical Services Subscription: Your health matters, so we provide a medical subscription.

• Referral Bonuses: We encourage colleagues to refer new candidates and receive a bonus.

• Bonuses:

  • Easter: 1000 RON net

  • Christmas: 1200 RON net

  • Vacation: 2000 RON net

• Meal Vouchers: Valued at 40 RON each.

• Internal Library: We provide a library to nourish both mind and body.

• Sports Benefits: We offer 7Card, football and fishing competitions.

• Happy Events: If you or your child gets married or you become a parent, you receive additional paid leave.

• Unfortunate Events: In case of unfortunate events, we offer support and paid leave.

• Birthday: You receive a paid day off of your choice.

• Additional Vacation Days: We reward seniority both in the workforce and within the company.

• Transport: We reimburse subscriptions or provide transport on certain routes.

• Professional Development: We offer numerous development opportunities.

• Teambuilding and Relaxation Events: We organize teambuilding and relaxation events.

• Relaxation Area: We have a relaxation area in the company courtyard.

• Diversity and Multicultural Mindset: We encourage you to join our team, no matter who you are or where you come from.

How you will create an impact 📈:

As a Data Engineer, you will be responsible for building and operating the data foundation that enables analytics and AI across the organization. You will design, develop, and maintain scalable data pipelines and ensure that data from various source systems is reliably integrated and accessible.

Working closely with Data Architects, Data Scientists, and business stakeholders, you will play a key role in transforming raw data into high-quality, usable data products that support business decision-making.

• Design, develop, and maintain scalable data pipelines for data ingestion, processing, and transformation

• Integrate data from multiple source systems (e.g., ERP, MES, engineering systems)

• Ensure data quality, consistency, and reliability across the data platform

• Implement and optimize data storage and processing solutions

• Collaborate with Data Architects to align with target architecture and standards

• Support Data Scientists and business teams by providing well-structured and accessible data

• Monitor and troubleshoot data pipelines and workflows

• Contribute to the development of a modern, cloud-based data platform

• Apply software engineering best practices in data development

What are we looking for 🔎:

• Degree in Computer Science, Engineering, or a related field

• Several years of experience in data engineering or software engineering

• Strong programming skills (e.g., Python, SQL)

• Experience with data integration and pipeline development

• Familiarity with modern data architectures (data warehouse, data lake, lakehouse)

• Experience with cloud-based data platforms (e.g., GCP, AWS, Azure) is a plus

• Understanding of data quality and monitoring concepts

• Experience with version control and CI/CD pipelines

• Strong problem-solving skills and attention to detail

• Ability to work in cross-functional teams

What We Offer

• Opportunity to build and shape a modern data platform from the ground up

• Work in a global industrial environment with real-world impact

• Close collaboration with Data & AI teams and business units

• High degree of ownership and responsibility

• A dynamic environment with room for innovation and growth

Salary transparency
*This role is classified within an internal grading and salary band system, based on objective criteria such as responsibilities, competencies, and job complexity. The offered salary is aligned with this structure.

*We do not request or take into account candidates’ salary history.
*The selection process is based on skills and experience

Important Information

• We do not request or consider candidates’ salary history during the recruitment process.

• The selection process is based on skills, experience, potential, objective criteria, and suitability for the role.

• All applications are treated confidentially and in compliance with personal data protection regulations.

• We promote a fair, non-discriminatory, and accessible recruitment process for all candidates who meet the requirements of the role.

If you value a dynamic, growing and intercultural environment and enjoy hands-on work, then become part of the SGB-SMIT Group and transform with us the future of energy. ⚡

We are looking forward to your application!