Senior Product Engineer - Data, AI & Analytics

Talan; Warszawa; Hybrid; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Hybrid set-up

Professional growth and career develop

Multicultural and international enviro

Wellbeing benefits

Smart Office Pack

Job summary

Talan is looking for a data engineer to design and build data pipelines and data products on a Lakehouse, productionising analytics and AI components while ensuring governance and observability.

You will work with data owners on access, quality remediation and acceptance evidence, contributing engineering options and estimates during solution framing in a hybrid setup.

Qualifications

• 6+ years of hands-on data engineering with production experience.
• 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.

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.

Skills

Python

SQL

CI/CD

Cloud data platforms

Production analytics/ML in production

Tools

Azure

Databricks

Unity Catalog

dbt

dltHub

Azure AI Foundry

OpenAI

Power BI

Qlik

Job description

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.

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?

• 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.

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).

Company Description

Company Description

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultantsin 21 countriesand 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 empowermentto 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 revenuethis 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.