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Offer summary
(Summary generated by AI based on the full job description)
The project is an ETF secondary market analytics platform with over 7 years in production. Core stack is Python and AWS with a Data Lakehouse and real-time streaming pipelines. Responsibilities include designing, developing and optimizing Python data pipelines, integrating AWS services (e.g. S3, ECS, EC2, Lambda, Step Functions, EventBridge), maintaining low-latency processing, providing L3 production support, producing technical documentation and evolving the existing codebase.
from: 10 November 2026
to: 10 December 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:hybrid
Warszawa, Wola
Requirements
Expected technologies
Python
AWS
Lambda
CloudWatch
DynamoDB
Our requirements
- 3+ years of experience in Data Software Engineering
- Proficiency in Python development within data engineering environments, emphasizing scalable and maintainable code
- Expertise in designing and implementing data lakehouse architectures and real-time streaming data pipelines
- Skills in integrating and managing AWS services, including S3, ECS, and EC2
- Competency in working with Lambda, Step Functions, and EventBridge
- Familiarity with CloudWatch and DynamoDB for monitoring and NoSQL data management
- Capability to provide Level 3 production support for critical data engineering systems with strong troubleshooting abilities
- Understanding of financial or banking domain concepts, enabling effective collaboration with business stakeholders
- English proficiency at an Upper-Intermediate level (B2) or higher
Your responsibilities
- Design, develop, and optimize Python-based data pipelines to process streaming market data with minimal latency
- Integrate AWS cloud services to support ingestion, processing, storage, and delivery of real-time and historical data
- Collaborate within a small agile team of 3 to 5 engineers, ensuring rapid decision-making and iterative development
- Participate in regular coordination meetings with client managers and internal development teams to align deliverables
- Produce and maintain comprehensive technical documentation to support system understanding and knowledge transfer
- Provide L3 support for production incidents, performing root cause analysis and implementing corrective actions
- Evaluate and adopt emerging technologies and methodologies to enhance pipeline performance and reliability
About the project
We are seeking a Senior Data Engineer to join an established secondary market ETF analytics platform with over 7 years of production history. The team ingests daily trading reports from multiple sources, including file providers, market data providers, spread data, and bookings, to produce analytics outputs. Built entirely on Python and AWS with a Data Lakehouse and data pipeline architecture, the project is transitioning toward a "run-org" model, requiring someone who can confidently pick up and evolve an existing codebase.
This is how we organize our work
This is how we work
at the client's siteagilescrum
What we offer
We gather like-minded people:
We provide growth opportunities:
We cover it all:
Please, note:
Development opportunities we offer
- conferences in Poland
- development budget
- external training
- industry-specific e-learning platforms
- intracompany training
- mentoring
- soft skills training
- space for experimenting
- substantive support from technological leaders
- support of IT events
- technical knowledge exchange within the company
Recruitment stages
- 1.Recruiter Interview (30 min)
- 2.Technical Interview (90 min)
- 3.Manager Interview (60 min)
- 4.Meeting with the Project Team or Client (60 min, optional)
- 5.Welcome Aboard!
EPAM Systems (Poland) sp. z o.o.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential
Senior Data Engineer (Python, AWS)
I apply to:
EPAM Systems (Poland) sp. z o.o.
Warszawa, Wola
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