SSR Data Engineer
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
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.
Qualifications
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. Additional Information 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 ! Contract Type: Long term contract