Data Engineer (Azure & Databricks)

Talan – Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and 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 empowerment to 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 revenue this 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 initiatives through 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?

Hybrid position based in Málaga, Spain

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.