A

Atos

Global IT services, consulting, digital transformation

Data Engineer - Databricks

Data EngineeringConfirmed live in the last 24 hours
Full-timeTimișoara, RomaniaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in data engineering, including at least 3 years of hands-on Databricks experience.
  • SME-level Databricks technical administration and maintenance, including platform knowledge acquisition, ongoing support, and maintenance.
  • Proficiency with the Databricks platform and data science.
  • Strong proficiency in Apache Spark, using PySpark and/or Scala.
  • Experience with Delta Lake architecture, including Bronze/Silver/Gold layers, ACID transactions, and 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, including Databricks Asset Bundles, Git, Azure DevOps, GitHub Actions, or GitLab CI.
  • Strong understanding of cloud data architecture on Azure, AWS, or GCP.
  • Experience tuning performance and optimizing costs on Databricks clusters.

Responsibilities

  • Design, build, and optimize scalable ETL/ELT pipelines on Databricks to process 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, and job scheduling tools.
  • Implement data governance, access control, and lineage using Unity Catalog.
  • Optimize Spark jobs for performance and cost, including cluster sizing, partitioning, caching, Photon, Z-ordering, and file compaction.
  • Build and maintain CI/CD pipelines for Databricks notebooks and jobs using Databricks Asset Bundles, Repos, and 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 for testing, version control, observability, and documentation.
  • Monitor pipeline health and cost, and implement alerting and proactive optimization, including cluster policies and job-cluster versus all-purpose-cluster choices.
  • Mentor mid-level engineers and contribute to technical decision-making and the platform roadmap.
  • Ensure compliance with data security and privacy requirements, including GDPR.

Desired Qualifications

  • Experience with 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 using the Databricks provider.
  • Exposure to streaming data pipelines, including Structured Streaming, Kafka, and Event Hubs/Kinesis.
  • Experience with dbt on Databricks.
  • Knowledge of data observability tools such as Monte Carlo and Great Expectations.
  • Familiarity with LLMOps/AI workloads on Databricks, including Vector Search and Model Serving.
  • Databricks certifications such as Data Engineer Professional/Associate or Spark Developer.
  • Experience working under compliance frameworks such as GDPR, ISO 27001, or DORA.

About the Company

Atos

Global IT services, consulting, digital transformation

Atos is a global IT services and consulting firm that helps big companies and governments run and improve their digital systems. It offers services like cloud computing, cybersecurity, big data, and digital transformation, delivering these through consulting, system integration, outsourcing, and managed services to keep complex IT environments functioning smoothly. What sets Atos apart is its long history of growth by acquiring other firms, building a wide footprint across Europe and North America, and combining diverse capabilities into one large service provider. After a period of financial restructuring to reduce debt, Atos is focused on stabilizing its finances and returning to growth and more acquisitions by 2026.

Company size
10,001+
Company stage
IPO
Headquarters
Bezons, France
Founded
1997

Recently Posted Jobs

Explore more opportunities at Atos

See more jobs