# Data Engineer - Databricks at Atos

Atos is hiring a Data Engineer - Databricks. Level rates it Works on AI ●●●○; you can [apply on Atos](https://jobsbylevel.com/go/0954d0df-1c63-4969-a6a6-3334f294fc1f?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Timisoara.

## Details

- Company: [Atos](https://jobsbylevel.com/companies/atos)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Timisoara
- Posted: September 27, 2026
- Apply: https://jobsbylevel.com/go/0954d0df-1c63-4969-a6a6-3334f294fc1f?utm_medium=ai-agent

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/data-engineer-databricks-at-atos-f026fd

## Description

Who we are. We are a team of passionate experts with a clear ambition: applying digital technology to advance what matters for our clients and society. Together we create reliable and responsive digital foundations for the world’s businesses, institutions, and communities. 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. Learn more on Advancing what matters We are looking for a Data 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-databricks-at-atos-f026fd

Source: https://jobsbylevel.com/jobs/data-engineer-databricks-at-atos-f026fd

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Level. https://jobsbylevel.com/jobs/data-engineer-databricks-at-atos-f026fd.

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