Poland | Data and MLOps Engineer

Requisition ID: 100132 

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.

We're at the forefront of our clients' digital transformation journey, successfully implementing emerging digital services into our clients' projects and operations that unlock a step change in their performance. Join the team to improve project outcomes, leverage the digital twin, deliver systems integration and interoperability, and support decision-making, autonomous execution, and integrated operations and performance centers.

Hatch is seeking a highly motivated Data and MLOPs 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 analyzing, implementing, scaling and supporting data and AI solutions across industrial operations and enterprise value chains.

The successful candidate will be responsible for:

Solution Development:

• Learn, understand, and leverage Hatch and/or clients’ existing data infrastructure to design and implement scalable, secure, and high-performance data solutions within industrial IT/OT environments, supporting AI/ML, optimization, and analytics applications.
• Build, configure, and maintain real-time and batch data pipelines to ingest, process, and transform industrial datasets, including time-series process data, sensor data, and operational data from diverse sources.
• Collaborate closely with software developers, data scientists, and domain experts to operationalize AI, machine learning, and optimization models into scalable, maintainable, and production-grade systems deployed in cloud and/or edge environments.
• Design, implement, and maintain MLOps workflows and infrastructure to support reliable model training, automated deployment, monitoring, lifecycle management, and version control for data, models, and pipelines.

Industrial Systems Integration:

• Collaborate with process engineers, control specialists, software teams, and client IT/OT stakeholders to implement seamless integration across plant systems and enterprise applications, including data historians, control systems, edge computing environments, etc.
• Ensure alignment with cybersecurity standards and network architecture best practices (e.g., DMZ architecture, secure APIs, and secure communication protocols).

Delivery Excellence and Technology Development:

• Understand client business objectives, operational requirements, and technical constraints to support the delivery of practical and scalable solutions.
• Support rapid proof-of-value initiatives, pilot deployments, and solution implementation activities, with consideration for transitioning prototypes into scalable and sustainable production environments.
• Contribute to technical documentation and the development of reusable assets, including standardized data pipelines, MLOps and DevOps practices, edge AI/optimization deployment frameworks, and implementation accelerators.
• Stay current with emerging technologies and industry trends in cloud and edge computing, distributed systems, AI/ML platforms, data engineering, and industrial digital transformation.

Experience and Skills Important for the Role:

• Bachelor’s or master’s degree in computer science/engineering, data engineering, data science, or a related field.
• Strong programming skills in Python; experience with additional programming languages (e.g., Java, MATLAB, etc.) is considered an asset.
• Solid understanding of database technologies, including SQL, query optimization, schema design, and complex joins; familiarity with NoSQL and time-series databases is considered an asset.
• Experience building and maintaining data pipelines and workflows using modern data platforms such as Databricks, including technologies such as Unity Catalog, Delta Live Tables, MLflow or similar tools.
• Hands-on experience developing and deploying solutions on cloud platforms such as Azure, GCP, or AWS; relevant cloud certifications (particularly Azure or GCP) are considered a strong asset.
• Experience with CI/CD pipelines and DevOps practices, including tools such as Azure DevOps, GitHub Actions, Git, or similar technologies.
• Experience developing APIs and containerized applications, including RESTful services and technologies such as Docker and Kubernetes.
• Strong collaboration and communication skills, with the ability to work effectively across multidisciplinary teams and quickly learn and apply new technologies and concepts.
• The following experience and skills are considered strong assets:

• Familiarity with industrial IT/OT environments, including industrial data historians (e.g., AVEVA PI System), industrial protocols (e.g., OPC UA, MQTT), and real-time data integration architectures.
• Experience developing or operationalizing LLM and Generative AI workflows, including retrieval-augmented generation (RAG) use cases.
• Experience with modern frontend technologies (e.g., React) for building data-driven web applications and user interfaces.
• Multilingual capability in English, Spanish, and/or Portuguese.

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.