About the Position

Data Engineer Databricks (H/F)

Type: Full-time

Description of the Company

About Inetum

Inetum is a European leader in digital services. With 26,000 consultants and specialists, we work daily to create a tangible digital impact for businesses, public entities, and society as a whole. Present in 19 countries, Inetum supports organizations in their digital transformation challenges with proximity, flexibility, and responsibility. Driven by its purpose, Inetum advocates for a useful and controlled technology capable of revealing the full potential of organizations and society: "Let’s make tech right."

In 2025, the group achieved a turnover of 2.2 billion euros. More information on: www.inetum.com

All our positions are open to people with disabilities.

Responsibilities

The Data, AI & Innovation BU relies on modern and cloud platforms such as Databricks, as well as the main hyperscalers on the market (Azure, AWS, GCP). We support our clients throughout the entire data value chain: modernization of data platforms, advanced analytics, industrialization of dataflows, governance, and optimization of performance.

As part of our development, we are looking for a Data Engineer expert Databricks. You will join high-value, internationally-sized projects within various client environments (finance, industry, retail, mobility, energy...). You will be involved in the design, development, industrialization, and maintenance of reliable, high-performance, and scalable data pipelines, primarily using Databricks.

You will be a key player in data quality, inter-team collaboration, and continuous improvement of implemented practices and architectures.

Main Missions

Development of dataflows on Databricks:

Design, develop, and optimize data pipelines on Databricks (Batch & Streaming).
Manipulate large-scale data using PySpark or Scala.
Implement advanced transformations and ensure the quality, robustness, and performance of treatments.

Industrialization & best practices:

Implement Delta Lake, Data Lakehouse, and cloud architecture standards.
Develop in a DataOps logic: CI/CD, automation, testing, versioning.
Ensure compliance with best practices in security, governance, and cost optimization.

Participation in projects in various contexts

Intervene in multiple business contexts: finance, industry, retail, mobility, energy...
Adapt development patterns to specific constraints (volume, real-time, SLA...).
Work in collaboration with Data Architects, Data Analysts, Data Scientists, and Cloud teams.

Expertise & support

Provide a technical reference role for development teams.
Participate in continuous improvement: documentation, sharing best practices, guidelines, internal accelerators.
Contribute to scoping studies, technology choices, and prototypes/POC.
Databricks certifications are desired.

Requirements

Technical Skills Required

Advanced proficiency in Databricks (Workspaces, Jobs/Workflows, Delta Lake, Unity Catalog).
Excellent practice of PySpark and/or Scala in a distributed Big Data context.
Solid skills in distributed processing, Spark optimization, and performance management.
Knowledge of a major Cloud: Azure (priority), AWS, or GCP.
Mastery of CI/CD tools (Azure DevOps, GitHub Actions, Jenkins...).
Knowledge of Terraform or equivalent (a plus).

Experience

Minimum of 7 years of experience in Data Engineering.
Significant experience in multiple project contexts, demonstrating your ability to adapt and industrialize complex pipelines.
Proven experience in the implementation of Databricks dataflows (batch & streaming).
Fluent English.

Personal Qualities

Rigor, autonomy, attention to detail, and a sense of quality work.
Team spirit and willingness to share your best practices.
Ability to thrive in agile and demanding environments.

We Offer

Your benefits:

📆 27 paid vacation days + 10 additional days off

🥗 Meal vouchers: Worth 9€ (60% covered by Inetum)

👨🏻‍💻 Individualized career tracking: With your manager, technical leader, or project manager throughout the year in addition to annual and professional interviews.

👋🏻 Unique and personalized onboarding: Support, reference, team meetings to familiarize you with the group's values.

Additional Inetum perks:

💻 Flexible remote work agreement: 2 to 3 days per week depending on the client

🚌 50% coverage of public transport costs for professional travel

🚀 Advantageous training policy: Technical, functional, testing, methodology, and project management training, personal development...

🎉 Regular agency events with Inetum teams: Game nights, after-work events, team-building activities...

📣 The opportunity to share your expertise: Hosting Techlunch, participating in technical meetups, speaking at conferences, in schools, or at events.

Interested?

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Data Engineer Databricks (H/F)

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