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.
Job Description
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).