About this role
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
Requirements
- 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