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We are looking for a Data Engineer to join our Digital Domain, supporting the Finance and HR teams. In this role, you will report to the Digital Domain Manager and be part of a cross-functional digital team that ensures our Finance and HR functions have the modern digital capabilities they need to power a cutting-edge steel plant. Working closely with stakeholders, you will design and deliver high-quality data products that translate business needs into solutions with real impact. At the same time, you will play a key role in shaping and developing our shared data platform, working with data lakes, data warehouses, and applying data mesh principles to build scalable and sustainable foundations for the future. Your contribution will combine hands-on engineering with technical leadership, guiding colleagues in modern data practices while enabling teams across the organization to become confident and effective users of data.
Job Responsibility:
Design and lead development of Stegra’s data platform, including ingestion pipelines, lake architecture, and warehouse design
Support business analysts and experts by helping shape reliable, scalable, and valuable data products
Coach and mentor developers in modern data engineering best practices, fostering high-quality development and a culture of continuous improvement
Define and promote engineering standards for data governance, security, and data product quality
Drive the adoption of modern tools, frameworks, and automation to improve our platform capabilities
Work closely with HR and Finance to understand their needs and translate them into effective data models and flows
Act as a bridge between business stakeholders and technical teams to ensure alignment on data strategy and priorities
Requirements:
A degree in Computer Science, Data Science, or equivalent experience
Some years of experience in data engineering, ideally building or improving a modern data platform with lake/warehouse architecture
Experience building and evolving end-to-end data platforms (data ingestion, storage, transformation, access)
Proficiency with tools like S3, Snowflake, Terraform, or similar technologies
Familiarity with data mesh concepts and experience in applying them in a real-world context
Experience working with developing microservices and microservice architectures
Knowledge of engineering best practices such as CI/CD, automated testing, and code review in a data context
The ability to collaborate across domains and explain technical solutions in a clear and understandable way
A hands-on approach combined with a strategic mindset, you can balance short-term needs with long-term platform evolution
What we offer:
Join a company where your work has real impact on the climate, the industry, and future generations
We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive
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