Senior Data Engineer

Salary: 1280–1440 PLN/MD + VAT (B2B)

Remote: 100% remote

Why choose this offer?

• Opportunity to develop and improve a software tool that helps provide customers worldwide with tailor-made heating and cooling solutions
• Work contributing to more sustainable, cost-efficient, and environmentally friendly heating and cooling solutions
• Regular integration meetings with the Jit community

Project

We are looking for an experienced Senior Data Engineer to join a team developing modern software solutions for the energy and smart building industry. You will be part of a team building cloud-native, data-intensive platforms responsible for ingesting, processing, and serving large volumes of real-time and historical data. Your work will focus on designing and operating reliable data pipelines, stream processing solutions, and time-series data platforms that support analytics, machine learning, and operational insights.

Expected competences and knowledge

• Minimum 4 years of commercial experience building and operating production data pipelines in Python
• Strong practical knowledge of SQL
• Hands-on experience with workflow orchestration tools such as Airflow, Dagster, or Mage, including backfills, historical reprocessing, retries, dependency management, and monitoring
• Experience with stream processing technologies such as Kafka, Faust, Flink, NATS, or similar
• Experience working with time-series data and production time-series databases such as TimescaleDB, GreptimeDB, or InfluxDB
• Understanding of common time-series data challenges, including missing data, sensor drift, clock skew, late-arriving events, and inconsistent units
• Experience implementing data quality checks as part of production data pipelines
• Hands-on experience with Docker, Git, and CI/CD
• English proficiency at a minimum B2 level
• Ability to work independently and collaborate effectively within a cross-functional engineering team

Nice to have

• Experience with Azure (preferred) or GCP
• Knowledge of Redis and Kubernetes
• Experience ingesting weather forecast or electricity market data
• Background in Energy, Utilities, Industrial IoT, or OT/SCADA
• Experience building data platforms for Data Science teams, with an understanding of reproducibility and train/serve consistency

Technologies you'll work with

• Python
• Apache Kafka
• Apache Airflow / Mage
• SQL
• Redis
• Docker
• Git
• CI/CD
• Azure Cloud / Google Cloud Platform
• Kubernetes
• Event-driven data pipelines