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Head of Data Engineering

KennedyPearce Consulting
Posted 14 hours ago, valid for 7 days
Location

London, Greater London EC1R 0WX

Salary

£45,000 - £54,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The job is for a remote Head of Data Engineering position with a leading data consultancy firm in the UK.
  • The role requires providing strategic leadership for data engineering and technology strategy, collaborating with the executive team, and acting as a trusted advisor for clients.
  • Candidates should have at least 3 years of experience in a leadership role, with expertise in AWS data services and building ETL/ELT pipelines.
  • The salary for this position ranges from £110,000 to £125,000, along with a budget for training courses and upskilling.
  • Responsibilities include overseeing data architecture on AWS, designing scalable solutions, and actively participating in hands-on implementation.
Summary

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.

ResponsibilitiesStrategic Leadership
  • 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.
Technical Leadership & Architecture
  • 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.
Hands-On Implementation & Delivery
  • 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.
Data Engineering:
  • 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.
Experience:
  • 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.
Compensation:
  • Remote working
  • £110k - £125k
  • Budget for training courses and upskilling

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.