
Chief Data Architect
3 days ago
About Stegra
We're on a mission to revolutionize the global steel industry by producing green steel. Our goal is to bring down CO2 emissions to zero by leveraging cutting-edge technologies and innovative processes.
We use green hydrogen and fossil-free electricity instead of coal, water, and heat. This approach enables us to decarbonize other industries beyond steel.
Job DescriptionWe're seeking a talented and purpose-driven Senior Data Systems Engineer to shape the future of data management at Stegra. This role involves overseeing, updating, and streamlining digital systems with a strong focus on Asset Information Management (AIM).
The ideal candidate will ensure data accuracy, design automated workflows, and integrate advanced digital systems to empower complex operations and maintenance processes.
- Maintain the AIM system as the single source of truth for plant asset data, ensuring accuracy, consistency, and streamlined change management processes.
- Collaborate with engineering, maintenance, and operations teams to gather, validate, and incorporate updates while mentoring junior data engineers and enhancing team collaboration.
- Implement ETL processes, develop automation scripts, and support advanced software tools for seamless data workflows and efficient asset management.
- Perform regular audits, ensure compliance with industry standards and policies, and establish strong data governance principles.
- Develop dashboards, predictive models, and analytics tools to provide actionable insights into asset data trends, quality, and usage.
- Use advanced data analysis to identify opportunities for operational enhancements and recommend impactful process improvements.
- A degree in Computer Engineering or a related field.
- 4–5 years of hands-on experience with asset information management systems, preferably AVEVA AIM, and strong knowledge of industry standards.
- Proven experience with AI applications in data engineering, including machine learning models and natural language processing (NLP).
- Proficient in programming languages like Python, R, or Java, with expertise in ETL tools (e.g., Apache Airflow, Informatica) and workflow automation techniques.
- Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and a passion for leveraging data to drive creative, impactful results.
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