Data Engineer

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., * 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.

• 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.

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.