SSR Data Engineer

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.

About the project

You will join a Market Risk environment within a large financial organization, working on the definition, automation, and evolution of Big Data processes. The project focuses on data-intensive pipelines used for risk calculation and analytics, leveraging distributed technologies and strong data quality standards. You will be part of a Big Data team handling shared platforms and common data challenges across the area.

What you will do

• Design, develop, and automate Big Data processes using Spark and Scala.
• Build and maintain ETL pipelines and data models for Market Risk use cases.
• Perform data testing, validation, and quality controls to ensure reliable outputs.
• Work closely with other Big Data engineers on shared frameworks and common tasks.
• Collaborate with risk and technical teams in an international environment.
• Contribute to continuous improvement of Big Data workflows and standards.

Required:

• 3–5 years of experience in technology projects involving Big Data or data engineering.
• Hands-on experience designing ETL processes and data models.
• Strong experience with Spark and Scala.
• Solid knowledge of Hadoop ecosystems.
• Advanced SQL skills.
• Experience in data testing and validation.
• Basic Shell scripting knowledge.
• English level B2/C1 (working proficiency).

Nice to have:

• Experience with Azure Databricks.
• Background in banking, specifically Market Risk.
• Knowledge of Airflow or similar workflow/pipeline managers.

What do we offer you?

• Remote position based in Málaga, Spain
• Permanent, full-time contract.
• Training and career development.
• Possibility to be part of a multicultural team and work on international projects.

If you are passionate about data, development & tech, we want to meet you !