Data Engineer with MLOps

Senior Data Engineer (MLOps / Azure Databricks)Location: Poland (Remote / occasional office visits)Contract Type: B2BRate: 160–170 PLN/h + VATProject: Long-term international cooperationAbout the RoleWe are looking for a Senior Data Engineer with strong MLOps expertise to join an international team building production-grade data and machine learning pipelines on Azure Databricks.In this role, you will work at the intersection of data engineering, machine learning, and infrastructure automation, transforming experimental ML workflows into scalable, observable, and cost-efficient production systems. The position focuses on designing robust data architectures, automating ML pipelines, and ensuring high reliability and performance in modern cloud environments.Key ResponsibilitiesDesign and maintain end-to-end data and ML pipelines using Azure Databricks, Delta Lake, and Unity CatalogBuild reproducible ML training and deployment workflows integrated with experiment tracking and model registry toolsImplement data quality frameworks and observability metrics following industry best practicesDevelop dashboards to monitor data quality, model performance, and operational metrics (e.g., Lakeview, Grafana or similar tools)Automate data ingestion and feature engineering pipelines using PySpark, SQL Warehouses, and Databricks Asset Bundles (DAB)Build CI/CD pipelines for data and ML workflows using GitHub Actions or Azure DevOpsManage data access, security, and governance policiesOptimize compute performance and infrastructure costs (cluster tuning, autoscaling, caching, partitioning)Implement automated validation pipelines for data quality, model evaluation, and telemetry-driven updatesMonitor ML models for drift detection, feature stability, and prediction qualityEnsure environment consistency using Infrastructure as Code (e.g., Terraform) and containerizationRequired Skills & ExperienceStrong experience in Data Engineering and MLOps environmentsHands-on experience with Azure Databricks and PySparkExperience designing production-grade data and ML pipelinesStrong knowledge of Delta Lake architecture and data layering (bronze / silver / gold)Experience with CI/CD pipelines for data and ML workflowsExperience with data quality frameworks and monitoring solutionsKnowledge of Infrastructure as Code tools such as TerraformExperience with data security, governance, and access controlStrong analytical and problem-solving skillsFluent EnglishNice to HaveExperience with Databricks Workflows, Unity Catalog, and Databricks Model ServingExperience building monitoring dashboards (Lakeview, Grafana or similar)Experience implementing ML observability frameworksExperience optimizing large-scale distributed data pipelinesWhat We OfferPrivate medical care (Medicover)Sports card (Multisport or equivalent)Life insuranceFlexible benefits platformTraining and certification opportunitiesOpportunity to work with modern Data & AI technologiesInternational project environmentLong-term, stable cooperationIf you are passionate about building scalable ML and data platforms in Azure, and enjoy working at the intersection of data engineering, MLOps, and cloud automation, we would love to hear from you.