Data Engineer

Location Guidelines: Romania · Workplace: 🌐 Remote

We are currently partnering with a leading company in the energy transformer manufacturing industry, ranked among the top players in Europe and globally.

At the moment, they are building a Global IT Hub in Romania, with the local team being developed from scratch. For this Data Engineer role, the main catch is the opportunity to contribute to a newly started project and help build a Center of Excellence, bringing real value to a strategic global initiative.

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

Degree in Computer Science, Engineering, or a related field

Several years of experience in data engineering or software engineering

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

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

Originally posted on Himalayas

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