Lead Data Engineer (AWS, Hybrid Working)

MAIN REQUIREMENTS
• Extensive experience in Data & Analytic Platform setup.
• Able to influence solution / architecture design.
• Able to define, design, build, test and maintain the AWS data architecture and supporting services.
Must have
• 6+ years of experience in data engineering or related fields.
• Solid understanding and working with big data and associated concerns (data governance, scalability, security, observability, reliability, etc.).
• Proven experience with integrating multiple heterogeneous data sources, and building a robust, cost-effective, flexible, and large-scale data and analytics platform.
• Deep experience in building large-scale data management and processing platforms, using AWS technologies like Lake Formation, MWAA, EMR, S3, and Athena.
• Experience with data warehousing technologies (AWS Redshift) and data storage formats (Parquet, Avro, JSON) and table formats (governed tables, Iceberg).
• Experience with data transformation and testing tools and frameworks (dbt, Great Expectations, Soda)
• Strong proficiency in Python programming, with advanced SQL knowledge.
• Data modelling experience to support business requirements for data usage (Data Lake, Data warehouse)
• Good working experience with IaC and CI/CD tools (Terraform, Codefresh)
• Experience developing data visualisations using tools such as Tableau, Qlik, or similar.

• Successful track record in managing or leading a team of data engineers.
• Good skill in communicating.