Ssr Data Engineer

Talan; Málaga; Presencial; EUR 42.000 - 66.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance

Life insurance

Language lessons

Flexible remuneration

Smart Office Pack

Descripción de la vacante

Talan is seeking a Big Data Engineer to join a Market Risk project within a major financial organization, focusing on data-intensive pipelines and distributed technologies.

You will design, develop, and automate Big Data processes using Spark and Scala, build ETL pipelines and data models, perform data validation, and collaborate with risk and tech teams across borders to raise data quality and reliability.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Big Data

Spark

Scala

SQL

Hadoop

Data testing

Shell scripting

Herramientas

Azure Databricks

Airflow

Descripción del empleo

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.

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.

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.
• 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 !