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 currently seeking an experienced Senior Data Engineer to play a key role in enabling scalable, cloud-native AI and machine learning platforms. In this role, you will design, build, and optimise modern data architectures, integrate largescale datasets, and deliver reliable, highperformance data pipelines that power advanced analytics, GenAI, and ML solutions across the organisation.

Key Responsibilities:

• Develop data solutions using Databricks (Delta Lake, Spark, MLflow) for largescale data processing and analytics

• Integrate data from enterprise systems, including Microsoft Dynamics 365 CRM, as well as other internal and external data sources, ensuring data quality, performance, and accessibility

• Design, develop, and optimise cloud-based data architectures that support AI, ML, and GenAI workloads

• Build and maintain scalable, automated data pipelines for both batch and realtime processing

• Integrate and manage large, complex datasets from multiple internal and external sources, ensuring data quality, performance, and accessibility

• Implement and manage ETL / ELT workflows using cloudnative services (e.g. AWS Glue, Lambda, Data Pipeline or equivalents)

• Collaborate closely with data scientists, ML engineers, and solution architects to ensure data platforms meet model and product requirements

• Support Retrieval Augmented Generation (RAG), agentbased workflows, and vectorbased search solutions

• Monitor, optimise, and troubleshoot data pipelines to ensure reliability, scalability, security, and cost efficiency

• Continuously improve data engineering standards, tooling, and best practices in line with evolving AI 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 platforms

• Strong proficiency in Python, Scala, or similar languages

• Hands-on experience with Databricks, Apache Spark, and modern data lakehouse architectures

• Solid understanding of machine learning frameworks (e.g. TensorFlow, PyTorch) and how they interact with data platforms

• Experience with data classification, including identification and handling of PII and sensitive data

• Knowledge of RAG architectures, agent-based systems, and LLMpowered solutions

• Experience working with vector databases, embeddings, indexing, and reranking techniques to improve LLM output quality

• Ability to leverage cloud AI services (e.g. SageMaker, Comprehend, Entity Resolution or equivalents)

• Experience deploying and operating data and ML workloads at scale in cloud environments

• Strong understanding of core cloud services, including IAM, VPC, compute, object storage, relational databases, monitoring, and logging

• Excellent analytical and problem-solving skills, with a proactive and innovative mindset

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