About this role
Senior Product Engineer - Data, AI & Analytics
Company Description
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
About the role.
Mission: Build governed data products, pipelines, analytics and AI-enabled components, and take them into production under company data and responsible-AI governance.
Responsibilities
- Design and build data pipelines and data products on a Lakehouse (medallion architecture).
- Productionise analytics and AI components (RAG, agents, model evaluation) and monitor them in production.
- Implement data quality controls, lineage and observability.
- Work with data owners on access, quality remediation and acceptance evidence.
- Contribute engineering options and estimates during solution framing.
Qualifications
-
Must have
-
6+ years of hands-on data engineering, with solutions running in production.
-
Strong Python and SQL, with software-engineering discipline (testing, code review, CI/CD).
-
Experience with cloud data platforms.
-
Experience putting analytics or ML/AI use cases into production.
-
Fluent in English (C1)
-
Preferred:
-
Azure (ADLS Gen2, Key Vault), Databricks and Unity Catalog, dbt, dltHub, Azure AI Foundry / OpenAI, Power BI or Qlik, asset-heavy or industrial domain.
-
Additional Information
-
What do we offer you?
-
Full-time, permanent employment contract (UoP)
-
Hybrid set-up
-
Professional growth and career development opportunities, with access to continuous learning.
-
The opportunity to join a multicultural and international environment, collaborating with colleagues and teams across different countries.
-
A comprehensive range of benefits designed to support your physical, emotional and financial wellbeing.
-
Smart Office Pack to support your remote working experience.
-
If you have read this far and you are looking forward to joining this challenge, do not hesitate to apply... we would be delighted 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).