Senior Data Engineer / Data Scientist (AI & LLM Solutions)
Summary
Senior role building scalable data pipelines and AI/ML solutions, including LLM-based agent systems, for a UK banking client's anti-financial crime team using Python, GCP, and distributed computing.
Type of contract: employment contract
Salary range: 15 800 – 24 300 PLN gross/m
What will you do?
We are looking for a hands-on Senior Data Engineer / Data Scientist with a strong Python background and proven experience in AI-driven solutions. This role combines data engineering expertise with analytical and modeling capabilities. You will be responsible for building scalable data pipelines and developing AI/ML and agent-based solutions leveraging LLM technologies. You will join the Transaction Monitoring area within the Anti-Financial Crime Division at one of our UK banking clients, contributing to advanced analytics and intelligent automation initiatives.
Your tasks
- Design and develop scalable data pipelines
- Build and optimize AI/ML models
- Develop agent-based solutions using modern Agentic AI frameworks
- Work with LLM and Generative AI solutions (prompting, orchestration, evaluation)
- Process and transform large datasets using distributed computing frameworks
- Collaborate with stakeholders to translate business needs into technical solutions
Your skills
- Minimum 4 years of commercial experience in similar roles
- Very good knowledge of Python 3.x
- Experience with Agentic AI frameworks and AI agent development
- Experience with GCP, VertexAI, Google ADK
- Knowledge of LLM and Generative AI (prompt engineering, orchestration, evaluation)
- Experience with PySpark and distributed data processing
- Practical experience within the Big Data ecosystem
- Experience in developing analytical or alerting models
- Solid understanding of data pipelines and scalable data architectures
- Strong analytical and problem-solving skills
- English level B2+
We offer you
- Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office days per week)
- Working in a highly experienced and dedicated team
- Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
- On-line training and certifications fit for career path
- Access to e-learning platform
- Work From Anywhere (WFA) - the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria)
- Social events