Senior Data Lead Engineer

Job DescriptionAs 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. We need someone like you to contribute across the following responsibilities: 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. Collaborate with product, technology and business teams to prioritise and deliver high-impact initiatives. Qualifications EXPERIENCE 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 enabling AI/ML solutions in production . Experience collaborating with BI teams and business stakeholders on data modelling and KPI definition. EDUCATION 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. SKILLS & KNOWLEDGE AWS: S3, Lake Formation, Glue, EMR. Databricks: Spark (PySpark/Scala), Delta tables, MLflow, feature store, performance optimisation. 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 . Knowledge of CDC patterns and event-driven ingestion. Understanding of data mesh principles and federated governance. Experience supporting ML workflows (feature engineering, training, deployment, monitoring). Knowledge of LLMs (prompt engineering, fine-tuning, RAG, evaluation and guardrails). Strong understanding of BI concepts , semantic modelling and analytics consumption. Practical experience with data governance, data rules and data guardrails . SOFT SKILLS Strong 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 HAVE AWS or Databricks certifications. Experience with orchestration tools and CI/CD for data and ML pipelines . Knowledge of Infrastructure as Code . Experience with BI tools such as QuickSight, Power BI or Qlik . Experience working with Agile methodologies (JIRA, Confluence). Additional Information What do we offer you? Hybrid position based in Málaga, Spain . 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). #LI-CL1 Array