We are looking for a Lead Data Engineer with strong AWS experience for our client's data platform migration project. You will lead the migration of a legacy on-premise data warehouse (Sybase IQ) to a modern AWS-based architecture, designing and building both real-time and batch data pipelines. The role combines technical leadership with hands-on engineering: you will shape the target architecture, guide the team, and deliver the solution end to end. This is not a purely advisory position.
This is a long-term contract position in a highly regulated banking environment, working fully onsite.
Responsibilities
Lead the migration of a legacy data warehouse (Sybase IQ) to an AWS-based data platform.
Design and implement the target architecture built on Amazon S3 and Amazon Athena.
Build real-time data processing using AWS Lambda in Python.
Develop and run batch processing workloads with AWS Glue.
Plan and execute the data migration, including schema conversion, data validation, and source-to-target reconciliation.
Provide technical leadership to the data engineering team: set engineering standards, review code, and mentor engineers.
Work closely with architects and client stakeholders to translate business requirements into robust data solutions.
Ensure data quality, security, and compliance in a regulated financial-services environment.
Produce technical documentation: solution designs, data flows, and operating guidelines.
Work Conditions
Start Date: Mid-November
Location: Prague
Long-term contract-based role
Contact with EU LLC
5+ years' experience in Data Engineering, including a lead or senior technical role.
Proven hands-on experience building data platforms on AWS in enterprise environments, with verifiable project references.
Strong experience with Amazon S3 and Amazon Athena as the core of a data lake / analytics architecture.
Hands-on experience developing real-time processing with AWS Lambda in Python.
Practical experience building batch processing pipelines with AWS Glue.
Experience with data warehouse migration projects (on-premise to cloud).
Strong Python and SQL skills.
Ability to lead the technical discussions and make decisions about the solution and design.
Have a consultancy mindset → always try to find a solution for the client
Excellent English, written and spoken.
Willingness to work fully onsite and to be occasionally flexible with working hours.
Technical Requirements
Mandatory
AWS: S3, Athena
AWS Lambda (Python) for real-time processing
AWS Glue for batch processing
Python and SQL
Nice to have
Sybase IQ
Experience in banking / financial services
Other AWS data services (e.g., Redshift, Step Functions, Kinesis, Lake Formation)
Infrastructure as Code (e.g., Terraform, CloudFormation)
CI/CD for data pipelines