Company Description

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.

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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

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.

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?

- 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
- Permanent, full-time contract.
- Training and career development. xcskxlj
- 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 !

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📌 Ssr Data Engineer (Málaga)
🏢 Talan
📍 Málaga