Data Engineer

Company 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 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 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
• 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).

La oferta está publicada en el sitio de Talan. Abre la oferta original ↗ para enviar tu candidatura. Screeningpass no rellena formularios por ti.

Inicia una búsqueda de contacto desde esta página. Screeningpass te propone hasta tres personas vinculadas al puesto. Tú eliges a quién escribir y Screeningpass busca su correo profesional y prepara un mensaje. Lo revisas y lo envías tú con Gmail. No siempre hay una dirección de correo disponible y nunca se garantiza una respuesta.

Una búsqueda cuesta 1 crédito. Se te devuelve si la búsqueda falla. Al registrarte recibes 3 créditos, para hacer 3 búsquedas.

Screeningpass reúne ofertas de prácticas, formación dual y empleo publicadas por las empresas. Para una oferta, Screeningpass encuentra una persona con la que contactar en la empresa, busca su correo profesional y prepara un mensaje a partir de tu CV. Ver el funcionamiento en detalle.