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Thales

Global defense and aerospace electronics

Data Engineer Databricks

Data EngineeringPosted on Nov 9
Full-timeBucharest, RomaniaNo salary listedHybrid

About the Job

Requirements

  • In-depth expertise with the Databricks platform, including cluster configuration and optimization, Delta Lake, Unity Catalog, and large-scale Spark workload execution.
  • Strong, proven experience with enterprise cloud environments, specifically Microsoft Azure (ADF, AZF, ADLS) or AWS.
  • Advanced proficiency in Python for high-performance data processing, algorithmic optimization, and data engineering workflows.
  • Experience with spec-driven development to enforce strict requirement alignment, contract testability, and deterministic delivery.
  • Knowledge and rigorous application of software development methodologies, including clean code, modular architecture, code reviews, testing frameworks, and lifecycle management.
  • English fluency, spoken and written, for collaboration in an international environment.

Responsibilities

  • Design, secure, and maintain data pipelines on cloud environments, including Azure, AWS, and Databricks, in collaboration with business and technical teams.
  • Design and build scalable end-to-end data pipelines (ETL/ELT) that ingest heterogeneous data sources into curated, analytics-ready formats.
  • Implement DataOps and DevOps best practices, including automated CI/CD pipelines, automated testing, version control using Git, and deployment automation.
  • Leverage agentic acceleration and AI-assisted tooling, including AI agents, code assistants, and generative automation, to improve engineering productivity across the delivery lifecycle.
  • Ensure operational maintenance, security compliance, resilience, and horizontal scalability of managed data platforms and pipelines.
  • Monitor pipeline performance, configure alerting, manage root-cause incident and problem resolution, and continuously optimize FinOps costs for compute clusters and storage.
  • Partner with business teams to ensure data relevance, completeness, and consistency through automated validation, cleansing, and ongoing quality tracking.
  • Recommend and deploy data technologies and architectures tailored to technical business use cases, including data consumption, data modeling, interoperability, and middleware.
  • Establish the operational framework and author technical, architectural, and runbook documentation for developments.

Desired Qualifications

  • Knowledge of JIRA and Confluence.
  • Cloud certifications in Azure, AWS, or Databricks.
  • Knowledge of data modeling best practices.
  • Experience with data visualization tools.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

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