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 general clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

Job Description

We are looking for an experienced Data Engineer to join a dynamic data engineering team and contribute to the development of modern, scalable data solutions within a Microsoft Azure and Databricks environment.

You will play a key role in designing,



developing and maintaining data pipelines and data platforms, working with large and complex datasets to support business intelligence, analytics and data-driven decision-making.

This is an excellent opportunity for a Data Engineer who enjoys working with modern cloud technologies and is interested in data architecture, modelling and building robust data solutions.

Key Responsibilities

- Design, develop and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks .
- Develop efficient data processing and transformation solutions using Python and Databricks.
- Work with large and complex datasets, ensuring data quality, reliability and performance.
- Contribute to the design and implementation of modern data architectures within the Azure ecosystem.
- Work with Medallion Architecture principles to build robust and scalable data solutions.
- Support the development of Data Vault and Business Vault architectures using Databricks on Azure.
- Work with Microsoft Fabric and OneLake , including the use of shortcuts to integrate and access data across different platforms.
- Contribute to data modelling activities within Azure Data Warehouse and related analytical environments.
- Collaborate with Data Architects, Developers,



Analysts and other stakeholders to understand requirements and translate them into effective technical solutions.
- Identify opportunities to improve data processing, architecture, performance and automation.
- Ensure solutions follow best practices around scalability, security, maintainability and data governance.

Qualifications

Requirements

- Proven professional experience as a Data Engineer .
- Strong hands-on experience with Azure Data Factory (ADF) .
- Strong experience with Azure Databricks .
- Good programming skills in Python .
- Solid understanding of data engineering principles, including ETL/ELT, data transformation and data modelling.
- Experience working with cloud-based data platforms and large-scale data processing.
- Good understanding of SQL and relational data concepts.

Nice to Have

- Experience with Medallion Architecture .
- Knowledge of Data Vault / Business Vault methodologies.
- Experience implementing Data Vault solutions using Databricks on Azure .
- Experience with Microsoft Fabric and OneLake , particularly OneLake shortcuts.
- Knowledge of data modelling in Azure Data Warehouse .
- Experience working within the financial services or wealth management sector .
- Familiarity with data governance, data quality and modern cloud data architecture principles.

Additional Information

What do we offer you?

- Remote within Spain Time zone.
- Possibility to be part of a multicultural team and work on international projects.

Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).

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📌 Senior Data Engineer (España)
🏢 Talan
📍 España