Data Engineer (Azure & Databricks)

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultantsin 21 countriesand a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowermentto deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenuethis year.

Our Core Areas of Expertise

Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.

Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.

Management & Innovation Consulting: We lead business and digital transformation initiativesthrough project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

Job Description

You will join a global data platform initiative focused on modernizing data architecture using cloud-native technologies. The project involves building scalable data pipelines and transforming legacy data models into modern analytics structures (Star Schema / Data Vault), leveraging Azure and Databricks. You’ll collaborate with international teams and contribute to a robust, production-grade data ecosystem.

What you will do:

• Design and develop data pipelines using Azure and Databricks
• Transform and model data using best practices (Star Schema, Data Vault)
• Build and maintain ETL/ELT pipelines with DBT
• Collaborate with data architects and analysts to define data structures
• Ensure quality, performance, and scalability of data solutions
• Version control and collaborate via GitLab
• Work in an agile environment with distributed teams

Qualifications

Required:

• 4–5 years of experience as Data Engineer or similar role
• Hands-on experience with Databricks and Azure (Data Services)
• Experience using DBT for transformations (at least some exposure)
• Strong experience in data modeling (Star Schema; knowledge of Data Vault is a plus)
• Experience working with VSCode and GitLab
• Solid SQL skills and understanding of data pipelines

Nice to have:

• Experience working in international or enterprise-scale environments
• Exposure to Data Vault modeling in production
• Knowledge of CI/CD for data pipelines
• Experience in banking, financial services, or industrial sectors

Additional Information

What do we offer you?

• Possibility to manage work permits
• Permanent, full-time contract.
• Perks and Benfits such as private medical insurance , life insurance, language lesson, flexible remuneration,Smart Office Pack so that you can work comfortably from home
• Training and career development.
• Possibility to be part of a multicultural team and work on international projects.