Industrial Data & MLOps Engineer

Hatch; Katowice; On-site; PLN 150,000 - 270,000; Full time

Benefits offered by this job

Flexible work environment

Long term career development

Think globally, work locally

Job summary

Hatch is leading digital transformation for the Metals, Energy and Infrastructure sectors by delivering scalable data solutions, AI-enabled applications, and real-time analytics in industrial IT/OT environments.

We design and implement data pipelines and MLOps workflows to operationalize AI/ML models with robust security and production-grade quality, in cloud and edge deployments. Multidisciplinary collaboration drives practical, scalable outcomes for our clients.

Qualifications

• 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 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.

Responsibilities

• 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.

Skills

Python

Databricks

Azure

CI/CD

Docker

Kubernetes

REST APIs

SQL

Time-series databases

English

Education

Bachelor’s or master’s degree in computer science/engineering, data engineering, data science, or a related field

Tools

Databricks Unity Catalog

Delta Live Tables

MLflow

Job description

Hatch is leading digital transformation for the Metals, Energy and Infrastructure sectors by delivering scalable data solutions, AI-enabled applications, and real-time analytics in industrial IT/OT environments.

We design and implement data pipelines and MLOps workflows to operationalize AI/ML models with robust security and production-grade quality, in cloud and edge deployments. Multidisciplinary collaboration drives practical, scalable outcomes for our clients.