Requisition ID: 98729

Job Category: Digital

Location: Katowice, Slaskie, Poland

Join a company that is passionately committed to the pursuit of a better world through positive change. With more than 70 years of business and technical expertise in mining , energy , and infrastructure , our 10,000 colleagues in 150 countries tirelessly work toward bettering the industries in which we operate. With practical solutions that are safe, innovative and sustainable, we think globally while acting locally. Are you looking for an opportunity to join a diverse group of professionals who are committed to remaining exceptional? We look forward to hearing from you.

Environment , People, and Place shape projects that are sustainable, resilient, and people-focused. We bring environmental intelligence and community-centered deisgn to every stage, creating places that thrive socially, economically, and ecologically.

Hatch develops digital and AI solutions across the Metals, Energy, and Infrastructure sectors to enable operational safety, efficiency, value chain optimization, and real-time process control and automation. Our clients are accelerating investments in data platforms, industrial IoT, cloud-native architectures, and AI-enabled applications to unlock real-time insights and improve operational performance.

Hatch is seeking a highly motivated and accomplished Senior Data Engineer to join our Digital team in Katowice, Poland. Reporting to the Global Director of Analytics and Decision Solutions, this role will play a critical part in architecting, building, and scaling robust data and AI solutions across industrial operations and enterprise value chains.

The Successful Candidate Will Be Responsible For

Solution Architecture Development

• Understanding and leveraging Hatch and/or clients’ existing data infrastructure, design and implement scalable, secure, and high-performance solution architectures for industrial IT/OT environments.
• Build, configure and maintain batch and real-time data pipelines to ingest, process, and transform large-scale industrial datasets, including time-series process data and sensor data.
• Architect data models and storage solutions across cloud and hybrid environments for AI application development.
  
  

Software Development

• Develop production-grade software components (backend and frontend) and APIs to support AI/ML, optimization, and analytics applications.
• Collaborate with product team and data scientists to operationalize models into scalable and maintainable production systems.
• Design and maintain MLOps and DataOps workflows to ensure reliable deployment, monitoring, and version control of data and models.
  
  

Industrial Systems Integration

• Integrate enterprise data platforms with industrial OT systems, including data historians, control systems, and edge computing environments.
• Design secure IT/OT data flows, ensuring compliance with cybersecurity and network architecture best practices (e.g., DMZ structures, secure APIs).
• Support real-time data streaming and event-driven architectures for operational decision support.
• Collaborate with process engineers, control specialists, and client IT teams to ensure seamless integration with plant systems and enterprise applications.
  
  

Client Engagement & Delivery Excellence

• Participate in technical architecture design sessions with clients and provide guidance on platform modernization and cloud transformation.
• Translate business and operational requirements into robust, scalable technical solutions.
• Support quick proof-of-value implementations and transition solutions into long-term production environments.
• Contribute to technical documentation, architecture standards, and reusable accelerators.
  
  

Technology & Capability Development

• Contribute to the development of standardized data pipeline, DevOps practices, AI/optimization model operationalization and application backend/frontend templates.
• Stay current with emerging technologies in cloud/edge computing, distributed systems, data engineering, and industrial digitalization.
  
  

Experience And Skills Important For The Role

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or related field.
• 5+ years of experience in data engineering, backend and frontend software development in industrial, energy, infrastructure, or asset-intensive sectors.
• Strong programming skills in Python (required) and experience with Java, Matlab, or other programming languages is an asset.
• Experience building and maintaining large-scale data pipelines using modern data platforms (e.g., Databricks, Azure Data Factory, etc.).
• Strong hands-on experience designing and deploying solutions on cloud platforms (Azure, AWS, or GCP); Azure and/or GCP professional certifications are considered a strong asset.
• Experience designing RESTful APIs, frontend-backend interaction, microservices architectures, and containerized applications (Docker, Kubernetes).
• Hands-on experience implementing CI/CD pipelines and DevOps practices (Git, Azure DevOps, GitHub Actions, etc.).
• Experience with modern frontend frameworks (e.g., React, etc.) for building data-driven web applications and understanding of responsive UI design principles is an asset.
• Knowledge of database technologies including SQL, NoSQL, and time-series databases.
• Familiarity with industrial IT/OT environments, data historians (e.g., PI systems), real-time integration, and cybersecurity considerations is an asset.
• Strong problem-solving mindset and ability to design scalable solutions for complex industrial challenges.
• Proven ability to collaborate effectively across multidisciplinary teams.
• Multilingual capability in English, Spanish, and/or Portuguese is an asset, particularly for collaboration across global client operations.
  
  

Why join us?

• Work with great people to make a difference
• Collaborate on exciting projects to develop innovative solutions
• Top employer
  
  

What we offer you?

• Flexible work environment
• Long term career development
• Think globally, work locally
  
  

Don't meet every single requirement? You don't need to. At Hatch, we are building a diverse, inclusive workplace that fosters innovation. If you're interested in this role, we encourage you to apply even if your past experiences don't perfectly align with the skills we've listed.

We're committed to fostering a workforce that reflects the diversity of the communities in which we operate and serve. Hatch is an Equal Opportunity Employer that considers applicants without regard to age, race, color, national origin, citizenship, religion, creed, gender, sexual orientation, marital status, disability, veteran, or any other protected status. If you have any accommodation requirements, please let us know. We'll do our best to meet your needs in accordance with applicable local legislation.