At Jacobs we're embarking on an exciting journey as we initiate the development of our Digital & Data Hub in the heart of Krakow. Our mission is to undertake projects spanning various industries, including Consumer and Manufacturing, Defence and Security, Energy and Utilities, Financial Services, Government and Public Services, Health and Life Sciences, and Transport.
We are seeking an experienced Senior AI / Data Platform Engineer to play a key role in building and operating Snowflake based data platforms that enable GenAI and advanced AI use cases at enterprise scale.
The primary focus of this role is designing, building, and operating Snowflake based data platforms that enable GenAI and advanced AI use cases across the organization. This is a data platform first role with strong exposure to GenAI, rather than a pure research or modeling position.
We offer:
- Rewarding employment - full-time employment/b2b contract with a salary that matches your qualifications
- Hybrid work model - enjoy the flexibility of working mainly from home
- Flexible hours - start your day anytime between 7:30 and 10:00 AM
- Comprehensive benefits, including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system (only under CoE)
- Possibility to travel on an occasional basis
- Co-financed holidays - enjoy "Wczasy pod Gruszą" for a well-deserved break
- Global projects - engage in exciting international projects (only under CoE)
- Inclusive networks - join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more
- Continuous learning - participate in our Graduate Development Program, Learners’ Community, and self-learning platforms
- Language courses - enhance your skills with courses in English, German, and Polish
We know that if we are inclusive, we’re more connected, and we’re more creative. We accept people for who they are. Find out more about life at Jacobs.
As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy.
If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team recruitmentpoland@jacobs.com
- 5+ years of experience in data engineering, AI engineering, or platform engineering roles
- Hands on, production level experience with Snowflake, including data modeling, ELT patterns, and performance optimization
- Strong programming skills in Python, Scala, or similar languages
- Solid experience with Databricks, Apache Spark, and modern lakehouse or hybrid architectures
- Practical understanding of GenAI architectures (RAG, LLM powered systems, agent based workflows)
- Experience working with vector databases, embeddings, and semantic search
- Experience operating data and AI workloads in cloud environments (AWS, Azure, or equivalent)
- Strong analytical mindset, ownership attitude, and ability to design solutions for enterprise scale
At Jacobs we're embarking on an exciting journey as we initiate the development of our Digital & Data Hub in the heart of Krakow. Our mission is to undertake projects spanning various industries, including Consumer and Manufacturing, Defence and Security, Energy and Utilities, Financial Services, Government and Public Services, Health and Life Sciences, and Transport.
We are seeking an experienced Senior AI / Data Platform Engineer to play a key role in building and operating Snowflake based data platforms that enable GenAI and advanced AI use cases at enterprise scale.
The primary focus of this role is designing, building, and operating Snowflake based data platforms that enable GenAI and advanced AI use cases across the organization. This is a data platform first role with strong exposure to GenAI, rather than a pure research or modeling position.
We offer:
- Rewarding employment - full-time employment/b2b contract with a salary that matches your qualifications
- Hybrid work model - enjoy the flexibility of working mainly from home
- Flexible hours - start your day anytime between 7:30 and 10:00 AM
- Comprehensive benefits, including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system (only under CoE)
- Possibility to travel on an occasional basis
- Co-financed holidays - enjoy "Wczasy pod Gruszą" for a well-deserved break
- Global projects - engage in exciting international projects (only under CoE)
- Inclusive networks - join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more
- Continuous learning - participate in our Graduate Development Program, Learners’ Community, and self-learning platforms
- Language courses - enhance your skills with courses in English, German, and Polish
We know that if we are inclusive, we’re more connected, and we’re more creative. We accept people for who they are. Find out more about life at Jacobs.
As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy.
If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team recruitmentpoland@jacobs.com
,[Design, develop, and operate Snowflake based data platforms supporting analytics, AI, ML, and GenAI workloads, Build and maintain scalable, reliable data pipelines (batch and real time) using modern cloud data technologies, Design and optimize cloud native data architectures for performance, scalability, and cost efficiency, Integrate and manage large, complex datasets from internal and external sources, Enable advanced GenAI use cases, including Retrieval Augmented Generation (RAG), vector search, and agent based workflows, Design and develop LLM based agent solutions and agentic workflows integrated with data platforms, Work with embeddings, vector databases, indexing, and reranking techniques to improve LLM output quality, Collaborate closely with data scientists and ML engineers to ensure platforms fully support model development and production, Monitor, troubleshoot, and optimize data platforms and pipelines to ensure reliability and scalability, Implement and improve CI/CD, data quality, and observability practices for data and AI workloads, Contribute to platform standards, best practices, and technical evolution across the organization] Requirements: Python, Snowflake, Databricks, Spark, PySpark, RAG, GenAI, LLMs Additionally: Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Shower, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.