Senior Data Lead Engineer

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.¿Es este el puesto que está buscando? Si es así, siga leyendo para obtener más detalles y no olvide enviar su solicitud hoy mismo.Talan at a GlanceHeadquartered 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 ExpertiseData & 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 DescriptionAs aSenior Data Lead Engineer , your mission will be to lead the design, evolution and operation ofcloud‑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.We need someone like you to contribute across the following responsibilities:Lead theData, AI & BI roadmap , ensuring scalability, resilience, security and cost efficiency.Design, evolve and operatecloud data lakehouse architectures .Define and builddomain‑oriented data productsaligned with data mesh principles (data‑as‑a‑product, SLAs, ownership).Build and maintaindata ingestion, ETL and transformation pipelines , including CDC‑based and event‑driven architectures.Integratecloud platforms with on‑premise data platformsin hybrid environments.Implement and enforcedata governance, data quality rules and data guardrails .Deliver high‑quality, well‑modelled datasets andsemantic layersfor BI, reporting and analytics.EnableAI/ML and LLM use cases(feature engineering, training, RAG, fine‑tuning, monitoring).Promote engineering best practices and act as atechnical leader and mentorfor data, ML and BI engineers.Collaborate with product, technology and business teams to prioritise and deliver high‑impact initiatives.QualificationsEXPERIENCE5+ years of experience inData Engineering, Data Platforms, AI Engineering or Advanced Analytics .Proven experience designing and buildingcloud data platformsand lakehouse architectures (preferably AWS).Hands‑on experience withDatabricks or EMRfor large‑scale data processing.Strong background indata ingestion, ETL and CDC‑based pipelines .Experience working withhybrid architectures(on‑premise + cloud).Experience enablingAI/ML solutions in production .Experience collaborating with BI teams and business stakeholders on data modelling and KPI definition.EDUCATIONBachelor’s degree or higher inComputer Science, Engineering, Mathematicsor a related technical discipline.Additional training in Data Engineering, AI/ML or Analytics is a plus.SKILLS & KNOWLEDGEAWS:S3, Lake Formation, Glue, EMR.StrongSQL and Pythonskills for data processing and automation.Data formats and lakehouse concepts:Parquet, Iceberg / Delta , curated layers.Experience withdata quality, lineage, observability and monitoring .Knowledge ofCDC patternsand event‑driven ingestion.Understanding ofdata mesh principlesand federated governance.Knowledge ofLLMs(prompt engineering, fine‑tuning, RAG, evaluation and guardrails).Strong understanding ofBI concepts , semantic modelling and analytics consumption.Practical experience withdata governance, data rules and data guardrails .SOFT SKILLSStrong communication skills, able to explain complex data and AI topics to technical and non‑technical audiences.Ability to influence and align multiple teams without direct authority.Proven leadership and mentoring capabilities.Proactive, hands‑on and outcome‑oriented mindset.Collaborative and adaptable in complex environments.OTHER INFORMATION / NICE TO HAVEAWS or Databricks certifications.Experience with orchestration tools andCI/CD for data and ML pipelines .Knowledge ofInfrastructure as Code .Experience with BI tools such asQuickSight, Power BI or Qlik .Experience working withAgile methodologies(JIRA, Confluence).Additional InformationWhat do we offer you?Permanent, full‑time contract.Training and continuous career development. xsgfvud Opportunity to work in amulticultural teamon international projects.If you are passionate aboutdata, AI and cloud technologies , we want to meet youTalan 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).#J-18808-Ljbffr