Senior Data Engineer
Our client is a top-5 global management consulting firm, recognized as one of the most prestigious in the world. Their proven platform and services are trusted by hundreds of Fortune 500 companies, including major financial institutions, leading media and technology companies, and federal government agencies.
Project Overview
As part of the delivery team, you will be at the technical forefront, working closely with product teams to implement top use cases for GenAI adoption. You will collaborate with supporting teams and practice leadership to maximize the impact of GenAI across specific business use cases. Your role involves developing GenAI-driven solutions using the project’s platform while engaging cross-functional teams—including product managers, data scientists, engineers, and other key stakeholders—to define requirements, prioritize features, and drive successful implementations.
Tech Stack
- AWS
- Python
- SQL
Requirements
- 8+ years of experience as a Data Engineer, with a strong focus on cloud-based solutions using AWS
- Experience leading engineering teams
- Proven expertise in building enterprise-grade, large-scale data solutions
- Strong Python development skills
- In-depth knowledge of data architecture and engineering patterns
- Experience working with relational databases and vector stores
- Solid background in containerization technologies and AWS ECS
- High coding standards: clean code, modular design, error handling, and test automation
- Ability to work independently in a fast-paced and complex environment
- Strong execution skills, result-driven mindset, and problem-solving abilities
- Interest in Generative AI and Machine Learning topics
- Experience with the Kedro framework is a plus
- Strong communication skills and ability to express opinions confidently at all levels
- Familiarity with Agile principles and product development processes
- Upper-Intermediate+ English
Responsibilities
- Make critical technical design decisions shaping the data infrastructure
- Mentor and guide data engineers, ensuring adherence to best practices
- Influence team structure and optimize delivery processes
- Ensure high-quality deliverables, focusing on reliability, scalability, and performance
- Drive excellence in all aspects of data engineering
📍 Location: Poland