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
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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.
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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.
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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
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Design, develop, and automate Big Data processes using Spark and Scala.
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Build and maintain ETL pipelines and data models for Market Risk use cases.
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Perform data testing, validation, and quality controls to ensure reliable outputs.
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Work closely with other Big Data engineers on shared frameworks and common tasks.
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Collaborate with risk and technical teams in an international environment.
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Contribute to continuous improvement of Big Data workflows and standards.
Qualifications
Required:
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3–5 years of experience in technology projects involving Big Data or data engineering.
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Hands-on experience designing ETL processes and data models.
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Strong experience with Spark and Scala.
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Solid knowledge of Hadoop ecosystems.
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Advanced SQL skills.
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Experience in data testing and validation.
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Basic Shell scripting knowledge.
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English level B2/C1 (working proficiency).
Nice to have:
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Experience with Azure Databricks.
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Background in banking, specifically Market Risk.
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Knowledge of Airflow or similar workflow/pipeline managers.
Additional Information
What do we offer you?
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Hybrid position based in Málaga, Spain
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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
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Permanent, full-time contract.
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Training and career development.
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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 !
