Data Engineering Specialist

3 days ago


Bodens Kommun, Sweden Stegra Full time

At Stegra, we are building an impact company with sustainability at its core. Our mission is to de-carbonize hard-to-abate industries, starting with steel.

About the Role

The Senior Asset Data Manager plays a pivotal role in maintaining accurate and up-to-date asset data within the Asset Information Management (AIM) system. This individual ensures the AIM system remains the single, reliable source of truth for all plant asset data, enabling smooth and effective support for operations and maintenance activities.

Main Responsibilities:
  • Ensure routine updates and data cleansing processes are in place, guaranteeing engineering master data in the AIM system is always accurate and reliable.
  • Collaborate with senior team members to support data validation during migrations, system upgrades, and audits, contributing to impactful projects.
  • Work closely with engineering, maintenance, and operations teams to gather and validate asset data, while supporting IT in streamlining system integrations and data pipelines.
  • Help maintain Extract, Transform, Load (ETL) processes, execute automation scripts, and provide accessible support for cutting-edge asset management tools.
  • Review asset data to identify and resolve inconsistencies, ensure compliance with standards, and uphold robust data governance practices.
  • Leverage data analysis skills to create insightful dashboards, generate meaningful reports, and provide observations that shape strategic process improvements.
Key Requirements
  • Degree in Computer Engineering, specializing in AI, Data Analytics, or a related field.
  • Experience with ETL tools like Apache Airflow or Informatica and exposure to AI-powered data engineering applications, including machine learning and NLP.
  • Familiarity with workflow automation tools and advanced AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Good knowledge of Python, R, or Java for data modeling, with knowledge of both relational (SQL) and non-relational (NoSQL) databases.
  • Skilled in creating insights using tools like Power BI or Tableau, helping teams make informed decisions.
  • Understanding of technical data formats like CAD files, P&IDs, and 3D modeling to bridge engineering and analytics seamlessly.


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