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Data Engineer Databricks

Thales thalesgroup.com Open
Hybrid Bucharest Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Thales. Bucharest · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationBucharest
WorkplaceHybrid
EmploymentFull-time
PostedNov 9, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build ETL and ELT pipelines that turn varied source data into curated formats ready for analysis
  • Configure and tune Databricks clusters, Delta Lake, Unity Catalog and Spark workloads
  • Automate testing, version control and deployments across data engineering workflows
  • Monitor pipeline performance, respond to incidents and control compute and storage costs
  • Work with business teams to validate data quality and document architectures, operations and runbooks

What you bring

  • You have deep Databricks expertise, including cluster tuning, Delta Lake, Unity Catalog and large Spark workloads
  • You have substantial experience with Azure data services or AWS in enterprise cloud environments
  • You use Python at an advanced level for data processing, algorithm optimization and engineering workflows
  • You communicate in English, both in writing and conversation, when working with international teams
  • You have hands-on experience using specification-led development to keep delivery aligned with requirements and testable contracts

Who this fits

This mid-level role suits a data engineer who can combine Databricks and cloud platform work with operational ownership, software practices and business-facing data quality. The position is based in Bucharest and uses a hybrid workplace.

From the employer

Location: Bucharest, Romania

Thales Services Numériques delivers and maintains critical applications for clients, driving digital transformation and operational excellence. Our projects follow Agile methodologies with collaboration between technical teams,

business stakeholders, and partners.


The Data Engineer designs, secures, and maintains data pipelines on cloud environments (Azure, AWS, Databricks), collaborating with business and technical teams.


Required competencies/experience:

  • In-depth expertise on the Databricks (DBX) platform: 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.
  • Design and build scalable end-to-end data pipelines (ETL/ELT) ingesting heterogeneous data sources
  • into curated, analytics-ready formats to deliver business value.
  • Implementation of DataOps and DevOps best practices: automated CI/CD pipelines, automated testing, version control (Git), and deployment automation.
  • Strong knowledge and rigorous application of software development methodologies (clean code, modular architecture, code reviews, testing frameworks, and lifecycle management).
  • Hands-on experience with spec-driven development to enforce strict requirement alignment, contract testability, and deterministic delivery.
  • Leverage agentic acceleration and AI-assisted tooling (AI agents, code assistants, generative automation) to significantly boost engineering productivity across the delivery lifecycle.
  • Ensure maintenance in operational conditions (MCO), security compliance, resilience, and horizontal scalability of managed data platforms and pipelines.
  • Ensure pipeline performance monitoring, alerting, root-cause incident/problem management, and continuous FinOps cost optimization (compute clusters and storage).
  • Partner with business teams to guarantee data relevance, completeness, and consistency through automated validation, cleansing, and ongoing quality tracking processes.
  • Recommend and deploy tailored data technologies and architectures for technical business use cases (data consumption, data modeling, interoperability, middleware).
  • Establish the operational framework and author comprehensive technical, architectural, and runbook documentation for all developments.
  • English is mandatory (spoken and written, collaborating in an international environment).

Nice to Have

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



Your Career at Thales:

Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competences in different areas:

  • Room and attention to personal development.
  • Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex solution.
  • Choose between a technical expertise or a leadership path.
  • Build an international career within a leading Engineering Group.
  • Work for different Thales domains & entities.

Your Immediate Benefits

  • 24 holiday days a year
  • Benefit Online
  • A good work-life balance which includes flexible working hours
  • A comprehensive compensation and benefit package including medical coverage & life insurance
  • Hybrid Workplace

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of defence and security, aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Romania, we are advancing innovation through software engineering, research and development, delivering solutions in key markets in which Thales Group operates. Our engineers design, develop and integrate solutions that impact global industries – from fully operational systems and subsystems for naval warfare and maritime security operations, to air traffic management systems, satellite-based solutions, tactical indoor simulations, identity and biometric technologies and more.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.