Senior Data Lead Engineer

 Why Talan?

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.

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.

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).

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