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Strategic Leadership
Technical Leadership & Architecture
Hands-On Implementation & Delivery
Data Engineering:
Head of Data Engineering
- Posted 23 September 2024
- Salary £110000 - £125000 per annum
- LocationCity of London
- Job type Permanent
- Discipline Change & Project Management
- ReferenceDB1986_1727111001
- Contact NameDean Burns
Job description
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.
Responsibilities
Strategic 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