Job at a glance
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