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Senior Data & AI Engineer
Reads like a Data Engineer role: pipelines and data infrastructure.
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild data and AI pipelines for document processing in a (micro-)batch architecture
Design and implement data extraction and retrieval solutions, using modern AI where it fits
Work with subject matter experts to understand requirements
Introduce new technologies for reliable, cost-efficient services
Contribute to AI-powered search and knowledge platforms, including multimodal retrieval
From the employer’s posting
Building data and AI pipelines for document processing in our (micro-)batch architecture
Designing and implementing data extraction and retrieval solutions, leveraging modern AI methods where appropriate
Collaborating with subject matter experts to understand requirements
Introducing new technologies to deliver reliable and cost-efficient services
Contributing to the evolution of our AI-powered search and knowledge platforms, including multimodal retrieval and knowledge extraction capabilities
What you’ll bring
All qualificationsCore experience
- Ownership mindset: takes responsibility end‑to‑end, from design and implementation to production support and continuous improvement
- Experience working with Azure Data Factory (ADF)
- Experience building and operating production‑grade big data pipelines on Databricks
- Experience working with Kubernetes
- Experience applying AI/ML and NLP techniques for information extraction, retrieval or knowledge discovery
- Experience in cloud environments (Storage Accounts, ADLS2)
Qualification wording
Ownership mindset: takes responsibility end‑to‑end, from design and implementation to production support and continuous improvement
Experience working with Azure Data Factory (ADF)
Experience building and operating production‑grade big data pipelines on Databricks
Experience working with Kubernetes
Experience applying AI/ML and NLP techniques for information extraction, retrieval or knowledge discovery
Experience in cloud environments (Storage Accounts, ADLS2)
Benefits in the posting
Full benefits wording- A secure work environment because your health, safety and wellbeing is always our top priority.
- Learning and development opportunities
- Being part of an international team and work in global projects
- Relocation assistance to Madrid provided
- Because we are counting on innovative solutions, sustainable actions, connected thinking and on you, become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.At BASF, we are committed to upholding and ensuring compliance with company standards related to quality, environment, health, safety, and energy, in line with our global guidelines.We actively promote a culture of prevention and continuous improvement, encouraging collaboration in initiatives related to quality, environmental protection, health, safety, and energy performance.We foster responsible energy use, promoting efficiency in daily operations and supporting the identification of improvement projects and energy-saving opportunities
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20265 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 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
BASF is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
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
- Scala
- Azure
- Databricks
- Elasticsearch
- Kubernetes
- Spark
- PySpark
Where the posting names them
- Hands-on expertise with Apache Spark (PySpark/Scala), including performance tuning, data skew handling, and efficient cluster usage - Solid Python programming skills - Experience with ElasticSearch / OpenSearch
- Experience with modern LLM-based RAG architectures, embeddings and vector search - Hands-on expertise with Apache Spark (PySpark/Scala), including performance tuning, data skew handling, and efficient cluster usage - Solid Python programming skills
- Experience with ElasticSearch / OpenSearch - Experience working in cloud‑based DevOps environments, including Azure cloud, Azure DevOps, and CI/CD pipelines - Fluent communication in English is required
Nice to have - Experience working with Azure Data Factory (ADF) - Experience working with Kubernetes
- Ownership mindset: takes responsibility end‑to‑end, from design and implementation to production support and continuous improvement - Experience building and operating production‑grade big data pipelines on Databricks - Experience applying AI/ML and NLP techniques for information extraction, retrieval or knowledge discovery
- Solid Python programming skills - Experience with ElasticSearch / OpenSearch - Experience working in cloud‑based DevOps environments, including Azure cloud, Azure DevOps, and CI/CD pipelines
- Experience working with Azure Data Factory (ADF) - Experience working with Kubernetes - Experience in cloud environments (Storage Accounts, ADLS2)
Your next step
Complete your application on basf.jobs. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
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
RESPONSIBILITIES
- Building data and AI pipelines for document processing in our (micro-)batch architecture
- Collaborating with subject matter experts to understand requirements
- Designing and implementing data extraction and retrieval solutions, leveraging modern AI methods where appropriate
- Introducing new technologies to deliver reliable and cost-efficient services
- Contributing to the evolution of our AI-powered search and knowledge platforms, including multimodal retrieval and knowledge extraction capabilities
- Working in an international (team language English) and agile team (Scrum)
QUALIFICATIONS
- A degree in computer science, software engineering, mathematics or similar experience
- Strong problem‑solving skills with the ability to break down complex data and system challenges into pragmatic, scalable solutions
- Ownership mindset: takes responsibility end‑to‑end, from design and implementation to production support and continuous improvement
- Experience building and operating production‑grade big data pipelines on Databricks
- Experience applying AI/ML and NLP techniques for information extraction, retrieval or knowledge discovery
- Experience with modern LLM-based RAG architectures, embeddings and vector search
- Hands-on expertise with Apache Spark (PySpark/Scala), including performance tuning, data skew handling, and efficient cluster usage
- Solid Python programming skills
- Experience with ElasticSearch / OpenSearch
- Experience working in cloud‑based DevOps environments, including Azure cloud, Azure DevOps, and CI/CD pipelines
- Fluent communication in English is required
Nice to have
- Experience working with Azure Data Factory (ADF)
- Experience working with Kubernetes
- Experience in cloud environments (Storage Accounts, ADLS2)
- Experience with multimodal document processing (text, images, scanned documents)
- Experience evaluating and benchmarking LLMs for enterprise search and knowledge management
WHAT WE OFFER
- A secure work environment because your health, safety and wellbeing is always our top priority.
- Flexible work schedule and Home-office options, so that you can balance your working life and private life.
- Learning and development opportunities
- 23 holiday days per year
- 5 additional days (readjustment)
- 2 cultural days
- A collaborative, trustful and innovative work environment
- Being part of an international team and work in global projects
- Relocation assistance to Madrid provided
At BASF, the chemistry is right
Because we are counting on innovative solutions, sustainable actions, connected thinking and on you, become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.At BASF, we are committed to upholding and ensuring compliance with company standards related to quality, environment, health, safety, and energy, in line with our global guidelines.We actively promote a culture of prevention and continuous improvement, encouraging collaboration in initiatives related to quality, environmental protection, health, safety, and energy performance.We foster responsible energy use, promoting efficiency in daily operations and supporting the identification of improvement projects and energy-saving opportunities
Source details
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- Pay
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- Location & working pattern
Madrid, ES
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