Mid- Level Big Data Developer at Talan

Zaragoza, Aragon, Spain -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scala, Apache Spark, SQL, ETL Design, Data Modeling, Shell Scripting, Azure Databricks, Airflow, Agile

Industry

IT Services and IT Consulting

Description

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 We are looking for a skilled Big Data Developer to join our team in Malaga. You will be part of a strategic project focused on the definition and automation of processes for Initial Margin within the Market Risk area. This role involves working with cutting-edge Big Data technologies (Spark/Scala) to build robust and scalable data solutions. Key Responsibilities Define and automate complex data processes using Spark and Scala. Participate in the design and implementation of ETL pipelines and data models. Collaborate within a specialized Big Data team to handle large-scale data processing tasks. Perform data validation and rigorous testing to ensure the accuracy and reliability of financial data. Contribute to the continuous improvement of the Big Data ecosystem within the Market Risk domain. Qualifications Technical Requirements Experience: 2+ years of experience in a similar Big Data role. Languages & Platforms: Strong proficiency in Scala and Apache Spark (Hadoop ecosystem). Database: Solid knowledge of SQL (Intermediate level). ETL: Proven experience in ETL design and data modeling. Scripting: Basic knowledge of Shell Scripting. Education: Background in technology-driven projects or Engineering. Languages: Fluent English proficiency Nice to Have Experience with Azure Databricks. Knowledge of Airflow for workflow and pipeline management. Previous experience in the Banking sector, specifically in Market Risk. Soft Skills Strong analytical and problem-solving mindset. Ability to work effectively in an agile team environment. Proactive attitude towards automation and process optimization. Additional Information What do we offer you? Hybrid position based in Málaga, Spain Possibility to manage work permits. Permanent, full-time contract. Smart Office Pack so that you can work comfortably from home. Training and career development. Benefits and perks such as private medical insurance, life insurance, Language lessons, etc 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

Responsibilities

The role involves defining and automating complex data processes primarily using Spark and Scala, while also participating in the design and implementation of ETL pipelines and data models for a strategic Market Risk project. Key tasks include collaborating on large-scale data processing, performing rigorous data validation and testing, and contributing to the improvement of the Big Data ecosystem.