Big Data Developer at Talan

Málaga, Andalusia, Spain -

Full Time

Start Date

Immediate

Expiry Date

18 Aug, 26

Salary

0.0

Posted On

20 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Java, JavaScript, SQL, Oracle PL/SQL, PostgreSQL, Git, GitHub, Kubernetes, Spring Boot, Angular, TypeScript, Amazon S3, Elastic, Kafka, OpenShift, Microservices

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 You will join a senior technical team working on large‑scale, data‑intensive platforms in a regulated financial environment. The project focuses on backend development using OOP technologies, strong interaction with Data Lake ecosystems, and complex SQL‑based data processing, within a modern microservices and DevOps‑oriented architecture. What You Will Do Design, develop and maintain backend components using Java and OOP principles Build and optimize SQL queries over large datasets (Oracle / PostgreSQL) Work with Data Lake environments and data integration flows Contribute to microservices architectures (Spring Boot) Collaborate in CI/CD pipelines using Git, GitHub Actions and Kubernetes Participate in Agile ceremonies and technical decision‑making Interact with functional teams in Transactional Regulatory Reporting contexts Qualifications What We Are Looking For Must: Senior experience in Object‑Oriented Programming (Java – Expert level) Advanced JavaScript Strong SQL skills with Oracle (PL/SQL) and PostgreSQL Solid experience with Git and GitHub (Advanced) Hands‑on experience with Kubernetes Proven background in enterprise‑scale backend systems Nice to have: Angular & TypeScript (intermediate level) Experience with Amazon S3 and Elastic Microservices with Spring Boot on OpenShift Messaging systems such as Kafka DevOps culture and tooling Agile environments (Jira, Confluence) Business exposure to Transactional Regulatory Reporting Additional Information What do we offer you? Remote position based in Malaga. 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

Design, develop, and maintain backend components and microservices using Java and Spring Boot for large-scale data platforms. Optimize complex SQL queries and manage data integration flows within Data Lake environments in a regulated financial context.