Senior Data Lead Engineer, hibrido
Empresa
Talan
Provincia
Málaga
Ciudad
Málaga
Tipo de Contrato
Tiempo Completo
Descripción
Senior Data Lead Engineer
Company Description
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, weve built a strong presence in the IT and consulting landscape, and were 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
- Bachelors 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.
data, ETL, BI, Spark, Scala
Company Description
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, weve built a strong presence in the IT and consulting landscape, and were 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
- Bachelors 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.
data, ETL, BI, Spark, Scala