Company Description
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:
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Design and develop data pipelines using Azure and Databricks
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Transform and model data using best practices (Star Schema, Data Vault)
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Build and maintain ETL/ELT pipelines with DBT
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Collaborate with data architects and analysts to define data structures
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Ensure quality, performance, and scalability of data solutions
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Version control and collaborate via GitLab
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Work in an agile environment with distributed teams
Qualifications
Required:
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4–5 years of experience as Data Engineer or similar role
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Hands-on experience with Databricks and Azure (Data Services)
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Experience using DBT for transformations (at least some exposure)
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Strong experience in data modeling (Star Schema; knowledge of Data Vault is a plus)
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Experience working with VSCode and GitLab
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Solid SQL skills and understanding of data pipelines
Nice to have:
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Experience working in international or enterprise-scale environments
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Exposure to Data Vault modeling in production
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Knowledge of CI/CD for data pipelines
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Experience in banking, financial services, or industrial sectors
Additional Information
What do we offer you?
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Hybrid position based in Málaga, Spain
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Possibility to manage work permits
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Permanent, full-time contract.
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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
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Training and career development.
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Possibility to be part of a multicultural team and work on international projects.
