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
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Lead the migration of a legacy data warehouse (Sybase IQ) to an AWS-based data platform.
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Design and implement the target architecture built on Amazon S3 and Amazon Athena.
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Build real-time data processing using AWS Lambda in Python.
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Develop and run batch processing workloads with AWS Glue.
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Plan and execute the data migration, including schema conversion, data validation, and source-to-target reconciliation.
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Provide technical leadership to the data engineering team: set engineering standards, review code, and mentor engineers.
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Work closely with architects and client stakeholders to translate business requirements into robust data solutions.
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Ensure data quality, security, and compliance in a regulated financial-services environment.
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Produce technical documentation: solution designs, data flows, and operating guidelines.
Work Conditions
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Start Date: Mid-November
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Location: Prague
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Long-term contract-based role
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Contact with EU LLC
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5+ years' experience in Data Engineering, including a lead or senior technical role.
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Proven hands-on experience building data platforms on AWS in enterprise environments, with verifiable project references.
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Strong experience with Amazon S3 and Amazon Athena as the core of a data lake / analytics architecture.
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Hands-on experience developing real-time processing with AWS Lambda in Python.
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Practical experience building batch processing pipelines with AWS Glue.
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Experience with data warehouse migration projects (on-premise to cloud).
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Strong Python and SQL skills.
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Ability to lead the technical discussions and make decisions about the solution and design.
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Have a consultancy mindset → always try to find a solution for the client
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Excellent English, written and spoken.
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Willingness to work fully onsite and to be occasionally flexible with working hours.
Technical Requirements
Mandatory
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AWS: S3, Athena
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AWS Lambda (Python) for real-time processing
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AWS Glue for batch processing
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Python and SQL
Nice to have
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Sybase IQ
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Experience in banking / financial services
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Other AWS data services (e.g., Redshift, Step Functions, Kinesis, Lake Formation)
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Infrastructure as Code (e.g., Terraform, CloudFormation)
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CI/CD for data pipelines
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