Data Engineer - Databricks

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With a 10 year history in Romania and over 2200 employees, Atos has a presence in 3 of the largest cities in Romania: Bucharest, Brasov and Timisoara. Our Global Delivery Center in Romania offers cutting-edge, best in class, end-to-end IT services for more than 300 clients located around the world.

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We are looking for aData Engineer with deep expertise in Databricks to design, build, and scale our data platform. You will own the architecture and performance of large-scale data pipelines, drive best practices across the Lakehouse stack, and partner closely with Data Science, Analytics, and AI Engineering teams to deliver reliable, production-grade data infrastructure.

This role is ideal for someone who has moved beyond writing pipelines to also shaping platform standards, mentoring engineers, and making architectural decisions on a Databricks-based Lakehouse.

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines on Databricks, processing large volumes of structured and unstructured data
• Architect and maintain Delta Lake -based data models, ensuring data quality, reliability, and performance across Bronze/Silver/Gold layers
• Develop and orchestrate workflows using Databricks Workflows, Delta Live Tables (DLT), and job scheduling tools
• Implement data governance, access control, and lineage using Unity Catalog
• Optimize Spark jobs for performance and cost (cluster sizing, partitioning, caching, Photon, Z-ordering, file compaction)
• Build and maintain CI/CD pipelines for Databricks notebooks/jobs (Databricks Asset Bundles, Repos, Git integration)
• Collaborate with Data Scientists and ML Engineers to support feature engineering and MLflow -based model lifecycle workflows
• Define and enforce data engineering best practices: testing, version control, observability, and documentation
• Monitor pipeline health and cost, implementing alerting and proactive optimization (cluster policies, job clusters vs. all-purpose clusters)
• Mentor mid-level engineers and contribute to technical decision-making and platform roadmap
• Ensure compliance with data security and privacy requirements (e.g., GDPR)

Must-Have Skills

• 5+ years of experience in Data Engineering, with 3+ years hands-on with Databricks
• Databricks Technical Administration and Maintenance (SME-level: knowledge acquisition, ongoing support and maintenance of the Databricks platform)
• Skills: Databricks Platform, Data Science
• Strong proficiency in Apache Spark (PySpark and/or Scala)
• Solid experience with Delta Lake architecture (Bronze/Silver/Gold, ACID transactions, schema evolution)
• Hands-on experience with Unity Catalog for governance and access management
• Strong SQL skills and experience with Databricks SQL Warehouses
• Experience building and orchestrating pipelines with Delta Live Tables and/or Databricks Workflows
• Proficiency in Python
• Experience with CI/CD for data pipelines (Databricks Asset Bundles, Git, Azure DevOps/GitHub Actions/GitLab CI)
• Strong understanding of cloud data architecture (any of Azure, AWS, or GCP)
• Experience with performance tuning and cost optimization on Databricks clusters

Nice-to-Have Skills

• Cloud-specific Databricks experience: Azure Databricks, Databricks on AWS, or Databricks on GCP
• Experience with MLflow for experiment tracking and model registry
• Familiarity with Terraform for infrastructure-as-code (Databricks provider)
• Exposure to streaming data pipelines (Structured Streaming, Kafka, Event Hubs/Kinesis)
• Experience with dbt on Databricks
• Knowledge of data observability tools (e.g., Monte Carlo, Great Expectations)
• Familiarity with LLMOps/AI workloads on Databricks (Vector Search, Model Serving)
• Databricks certifications (Data Engineer Professional/Associate, Spark Developer)
• Experience working under compliance frameworks (GDPR, ISO 27001, DORA)

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