Head of Data Engineering - KennedyPearce Consulting : Job Details

We are partnered with a leading data consultancy firm specialising in delivering end-to-end data engineering, analytics, and cloud-based solutions to their clients. They are looking for a remote (UK based) Head of Data Engineering to lead on technical decision making and architecture.

• Provide trusted leadership for the company's data engineering and technology strategy, aligning it with business objectives and client needs.
• Collaborate with the executive team to define the technology roadmap, setting priorities for data architecture, cloud infrastructure, and analytics solutions.
• Act as a trusted advisor for clients, guiding their data strategy and helping them maximise their investments in AWS cloud infrastructure and data engineering solutions.

• Own the end-to-end architecture of data platforms on Amazon Web Services (AWS) (S3, Redshift, Glue, Lambda, etc.).
• Architect and design scalable, secure, and cost-efficient data solutions, focusing on data pipelines, storage, transformation, and analytics platforms.
• Oversee and provide guidance on AWS-native services
• Define best practices for data governance, data quality, metadata management, and security within the AWS environment.

• Actively participate in building, coding, and optimising data engineering solutions. Ensure solutions are delivered with high quality and performance.
• Develop, deploy, and manage complex ETL/ELT pipelines using AWS Glue, Lambda, Redshift, and other AWS services.
• Implement and manage data modelling, database optimisation, and data warehousing practices in Amazon Redshift or other SQL-based environments.

• Expertise in building robust ETL/ELT pipelines.
• Proficiency with SQL, Python, Spark, and/or Scala for data transformation and processing.
• Solid experience with data modelling, data warehousing, and big data architectures.
• Experience with AWS CodePipeline, CodeDeploy, and CloudFormation for CI/CD pipelines, infrastructure as code, and automated testing.
• Knowledge of Kubernetes, Docker, or other container orchestration tools is beneficial.

• 3+ years of experience in a leadership or strategic role, ideally within a consulting or client services environment.
• Deep familiarity with Amazon Web Services (AWS) and its data services.
• Experience leading multi-disciplinary teams and delivering data projects.

• Remote working
• £110k - £125k
• Budget for training courses and upskilling