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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.
About the Role
We are looking for a proactive and collaborative Mid-Level Backend Spark Developer. In this role, you will be responsible for building, optimizing, and maintaining data-driven backend solutions. You will work closely with team members to analyze business requirements, refine technical specifications, and ensure the smooth execution of data pipelines.
If you have a solid foundation in Spark, experience with programming languages like Java, Scala, or Python, and a strong command of SQL, we would love to have you on board.
Key Responsibilities
Data & Backend Development: Design, develop, and maintain robust data processing applications and workflows.
Requirements Analysis: Actively analyze business and technical requirements, collaborating with cross-functional team members to refine and improve them.
Team Collaboration: Participate in daily agile syncs and work closely with the development team, demonstrating a highly proactive approach to daily tasks.
Code Versioning: Use Git to manage, version, and collaborate on codebase development efficiently.
Experience: 1.5 to 2 years of professional experience in data engineering, backend programming, or data-centric software development.
Solid intermediate-level knowledge of Java (or strong proficiency in Scala / Python).
Good foundational understanding and practical experience with Apache Spark.
Intermediate to advanced SQL skills, including experience with ANSI SQL, Hive SQL, and Spark SQL (strong general SQL troubleshooting skills).
Intermediate proficiency with Git and standard collaborative workflows.
Language Skills: Minimum of B2+ (Intermediate/Upper-Intermediate) English proficiency.
Soft Skills: Strong team player with a proactive attitude and excellent analytical mindset.
Nice to Have
Practical experience working with Azure Databricks, Amazon EMR, Cloudera, or any other distributed Spark environment.
Good conceptual understanding of Apache Hive architecture.
Familiarity or hands-on experience with reporting and business intelligence tools, particularly Power BI.
Working Hours: Ability to work full-time within the Spain time zone (CET/CEST)
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