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 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 adecuado 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

Qualifications

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

Additional Information

What do we offer you?

- B2B or employment contract

📌 Data Engineer (España)
🏢 Talan
📍 España