data strategy, risk mitigation, and platform evolution. Mentor and develop data engineering talent, fostering a high-performance culture. Requirements: Extensive hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong proficiency in Python and SQL. Proven leadership in data engineering strategy and execution. Deep understanding of market data and its business applications. Experience with Databricks More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
as a Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a More ❯
london (city of london), south east england, united kingdom
SR2 | Socially Responsible Recruitment | Certified B Corporation™
as a Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a More ❯
AWS Lead Data Engineer, who will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of … or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and More ❯
london (city of london), south east england, united kingdom
HCLTech
AWS Lead Data Engineer, who will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of … or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and More ❯
