Senior Data Engineer (MLOps)

Senior Data Engineer / MLOps 
Remote, Poland

B2B till August 

160–180 PLN/h

Responsibilities

• Design & maintain end-to-end data & ML pipelines (Databricks Workflows, Delta Lake, Unity Catalog)

• Build reproducible training & deployment workflows (experiment tracking, model registry, artifact management)

• Implement data quality frameworks, observability metrics, dashboards (Lakeview, Grafana)

• Automate ingestion & feature pipelines via PySpark, SQL Warehouses, DAB within CI/CD

• Manage security, access control & compliance in data/ML environments

• Optimize compute performance & cost (autoscaling, spot instances, caching, partitioning)

• Develop automated evaluation & validation pipelines (new telemetry, reproducibility, traceability)

• Maintain continuous model & data monitoring (drift, feature stability, prediction quality)

• Ensure environment consistency via IaC & containerization (Terraform)

Requirements

• Senior Data Engineer + solid MLOps background

• Azure Databricks (Workflows, Delta Lake, Unity Catalog)

• PySpark, SQL Warehouses, production-grade pipeline development

• CI/CD (GitHub Actions / Azure DevOps)

• Monitoring tools (Lakeview, Grafana), ML observability

• Data quality, drift detection, ML monitoring

• Security, access management & compliance in data/ML ecosystems

• Terraform / IaC