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