Data Tech Lead

Talan is an international consulting group specializing in innovation and business transformation through technology. 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. 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. As a Senior Data Lead Engineer , your mission will be to lead the design, evolution and operation of cloud‑based Data, AI & BI platforms , enabling scalable, secure and high‑quality data products that drive business value. You will play a key role in defining the data roadmap, mentoring engineering teams and delivering advanced analytics and AI use cases in a complex and large‑scale environment. Lead the Data, AI & BI roadmap , ensuring scalability, resilience, security and cost efficiency. Design, evolve and operate cloud data lakehouse architectures . Define and build domain‑oriented data products aligned with data mesh principles (data‑as‑a‑product, SLAs, ownership). Build and maintain data ingestion, ETL and transformation pipelines , including CDC‑based and event‑driven architectures. Integrate cloud platforms with on‑premise data platforms in hybrid environments. Implement and enforce data governance, data quality rules and data guardrails . Deliver high‑quality, well‑modelled datasets and semantic layers for BI, reporting and analytics. Enable AI/ML and LLM use cases (feature engineering, training, RAG, fine‑tuning, monitoring). Promote engineering best practices and act as a technical leader and mentor for data, ML and BI engineers. 5+ years of experience in Data Engineering, Data Platforms, AI Engineering or Advanced Analytics . ~ Proven experience designing and building cloud data platforms and lakehouse architectures (preferably AWS). ~ Hands‑on experience with Databricks or EMR for large‑scale data processing. ~ Strong background in data ingestion, ETL and CDC‑based pipelines . ~ Experience working with hybrid architectures (on‑premise + cloud). ~ Experience collaborating with BI teams and business stakeholders on data modelling and KPI definition. Bachelor’s degree or higher in Computer Science, Engineering, Mathematics or a related technical discipline. Additional training in Data Engineering, AI/ML or Analytics is a plus. AWS: S3, Lake Formation, Glue, EMR. Strong SQL and Python skills for data processing and automation. Data formats and lakehouse concepts: Parquet, Iceberg / Delta , curated layers. Experience with data quality, lineage, observability and monitoring . Understanding of data mesh principles and federated governance. Strong understanding of BI concepts , semantic modelling and analytics consumption. Practical experience with data governance, data rules and data guardrails . Strong communication skills, able to explain complex data and AI topics to technical and non‑technical audiences. AWS or Databricks certifications. Experience with orchestration tools and CI/CD for data and ML pipelines . Experience with BI tools such as QuickSight, Power BI or Qlik . Experience working with Agile methodologies (JIRA, Confluence). Permanent, full‑time contract. Training and continuous career development. Opportunity to work in a multicultural team on international projects. If you are passionate about data, AI and cloud technologies , we want 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). #