Senior AI Data Engineer

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

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.

Join our dynamic team where you'll have the opportunity to work on a wide variety of projects across different domains. We carefully match projects to your skills and expertise, ensuring you can make the most impact while continuing to grow professionally.

Jacobs is seeking an experienced
Senior
AI Data Engineer
to join our team. This role plays a key part in enabling scalable and efficient AI/ML workflows by designing, building, and optimizing robust data architectures in cloud environments. This person will be crucial in integrating large-scale datasets, automating data pipelines, and ensuring seamless data flow to support advanced machine learning initiatives across the organization.

Responsibilities

• Design, develop, and optimize data architectures that support AI and Machine Learning workflows
• Integrate large-scale datasets from multiple sources to ensure consistency, accessibility, and performance
• Build scalable, automated data pipelines to support real-time and batch data processing
• Utilize cloud-based ETL services (e.g., Glue, Lambda, Data Pipeline or equivalent) to manage data ingestion, transformation, and integration tasks
• Collaborate with data scientists and ML engineers to ensure data infrastructure aligns with AI/ML model requirements
• Monitor and maintain data workflows to ensure reliability, scalability, and cost-efficiency
• Continuously improve data engineering practices to support evolving AI/ML use cases and business needs

Here's what you'll need

• 5+ years of experience in data engineering or related roles, with a strong focus on cloud-based solutions
• Proficiency in programming languages such as Python, Scala, or similar
• Solid understanding of machine learning frameworks such as TensorFlow or PyTorch
• Strong experience in data classification, including the identification of PII data entities
• Knowledge and experience with retrieval augmented generation (RAG) and agent-based workflows
• Deep understanding of how to re-rank and improve LLM outputs using Index and Vector stores
• Ability to leverage cloud services (e.g., SageMaker, Comprehend, Entity Resolution or similar) to solve complex data and AI-related challenges
• Ability to manage and deploy machine learning models and frameworks at scale using cloud infrastructure
• Strong analytical and problem-solving skills, with the ability to innovate and develop new approaches to data engineering and AI/ML
• Experience with ETL services in cloud environments (such as Glue, Lambda, Data Pipeline or equivalent) to handle data processing and integration tasks effectively
• Experience in core cloud services including IAM, VPC, compute instances, object storage, relational databases, monitoring, and logging tools

Nice to Have

• Experience with data privacy and compliance requirements, especially related to PII data
• Familiarity with advanced data indexing techniques, vector databases, and other technologies that improve the quality of AI/ML outputs

We offer

• Rewarding employment - full-time employment/b2b contract with a salary that matches your qualifications
• Hybrid work model - enjoy the flexibility of working from home, with just several office days per month
• Flexible hours - start your day anytime between 730 and 1000 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
• Co-financed holidays - enjoy "Wczasy pod Gruszą" for a well-deserved break
• Global projects - engage in exciting international projects
• 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 if we are diverse, we're more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you're pregnant or on family leave. 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 [1]

Your application experience is important to us, and we're keen to adapt to make every interaction even better. 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 via Careers Support.