Time since we first saw it
Day 29
Similar jobs usually come down between day 6 and day 54.
Well past Talan’s usual: its jobs come down by about day 8.
From 11,581 similar postings that came down, and 208 of Talan’s. Coming down is not always a hire.
Senior Product Engineer - Data, AI & Analytics
Warsaw, Masovian Voivodeship, Poland
Live, first seen by us 29 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and build data pipelines and data products on a Lakehouse (medallion architecture)
Productionise analytics and AI components (RAG, agents, model evaluation) and monitor them
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
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- 6+ years of hands-on data engineering with solutions running in production
- Strong Python and SQL with testing, code review, and CI/CD discipline
- Experience with cloud data platforms
- Experience putting analytics or ML/AI use cases into production
- Fluent English (C1)
Qualification wording
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)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 10, 202629 days ago
- Recorded sightings
- 268
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Talan is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
- 14% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- dbt
- Power BI
Where the posting names them
- 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.
- 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.
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
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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).
Company Description
Company Description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw, Masovian Voivodeship, Poland
- Full-time, permanent employment contract (UoP) - Hybrid set-up - Professional growth and career development opportunities, with access to continuous learning.
More source context
- 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!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.