Data Engineer

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.

We are looking for a Data Engineer Analyst with at least 2 years of experience in Data Engineering or Big Data environments to join a data-driven project focused on the development and evolution of a DataLake and Limits solution.

The ideal candidate combines strong hands-on experience with Python, SQL, ETL development and data pipelines with the analytical ability to understand complex data models, transformations, dependencies, and data quality requirements.

Key Responsibilities

• Analyze and understand existing data models, data flows and transformation processes.
• Understand existing datasets, mappings and dependencies within the DataLake.
• Develop, maintain and optimize Python processes, ETLs and data pipelines.
• Build and maintain Control-M jobs and batch processing workflows.
• Implement data ingestion, transformation and processing logic.
• Develop and adapt data models and datasets required for the Limits solution.
• Perform SQL-based data analysis, validation and reconciliation across multiple data sources.
• Implement data quality controls and investigate and resolve data inconsistencies.
• Support testing, certification, deployment and production releases.
• Create and maintain technical documentation covering data models, processes, mappings and transformations.
• Collaborate with technical and functional teams to ensure data solutions meet business and technical requirements

Mandatory Requirements

• 2+ years of professional experience in Data Engineering, Big Data or similar environments.
• Solid experience with Big Data / DataLake architectures.
• Strong SQL skills for querying, analysis and data validation.
• Hands-on experience with Python.
• Experience developing ETL processes.
• Knowledge of data ingestion and transformation processes.
• Experience developing and maintaining data pipelines.
• Good understanding of data modeling concepts.
• Experience with Control-M and/or batch processing.
• Strong skills in data analysis, validation and reconciliation.
• English level B2 or above.
• Nice to Have
• Experience or knowledge in any of the following would be considered a plus:

Atoti / ActiveViam

Databricks

REST APIs and Microservices

Jira / Confluence

• Financial services or banking environments
• Counterparty Risk / Limits concepts
• What do we offer you?
• B2B or employment contract
• Remote within CET Time zone.
• Possibility to be part of a multicultural team and work on international projects.
• If you have read this far and you are looking forward to joining this challenge, do not hesitate to apply... we would be delighted to meet you!
• Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).