Data Platform Engineer

Quick Facts

• Role: Data Platform Engineer

Description

Build and maintain a scalable data architecture that bridges industrial OT data with IT analytics. The platform will run as an agile analytics environment alongside a certified SCADA system, supporting reliable deployment of analytical and predictive models. You will own the Modern Data Stack, ingestion pipelines, workflow automation, and visualization tooling while applying DevOps/DataOps reliability practices.

Responsibilities

• Manage data architecture and databases: build and evolve a Modern Data Stack and administer time-series databases (e.g., InfluxDB)

• Acquire and integrate data: consume measurement streams from SCADA (e.g., via MQTT) in collaboration with SCADA, IT/DevOps, and Cybersecurity teams

• Maintain the analytics environment: provide infrastructure (containers, pipelines) for predictive models and analytical algorithms

• Build data pipelines: configure workflow automation tools (e.g., n8n), integrate external APIs (e.g., CMMS), and implement alerting for business alerts

• Administer visualization tools: manage platforms such as Grafana, including access rights and data source quality

• Ensure DevOps reliability: keep code versioning, apply Infrastructure as Code (IaC), and maintain restore/recovery documentation

• Work in a cross-disciplinary team with an Energy Data Analyst and an Energy Efficiency Engineer

Requirements

• Preferred: higher technical education (Automation & Robotics, Computer Science, Telecommunications or related)

• Must-have: Linux proficiency, Docker/Docker Compose environment management, and strong experience administering time-series databases (e.g., InfluxDB)

• Programming & data integration: scripting skills (Python/JS), knowledge of data transfer protocols (e.g., MQTT), and API integration (REST/Webhooks); n8n workflow automation is a plus

• DevOps/DataOps experience: Git, Infrastructure as Code (IaC), proactive system security approach, Code Review habits, and restore documentation practices

• Nice-to-have: Grafana administration for visualization support; general understanding of preparing environments for data analysis and ML

• Plus: experience in the energy industry or industrial automation

Benefits

• Stable employment in a dynamically developing company

• Salary: B2B 15,000–20,000 PLN net; UoP 13,000–17,000 PLN gross

• Opportunity to grow professional competencies

• Work tools provided

• Opportunity to influence key operational processes

• Employee benefits package, including co-funding for Medicover Sport card, PZU insurance, and discounts on Viking Kitchen products