Data Engineering Manager

5 days ago


St Albans, Hertfordshire, United Kingdom Addition+ Full time £80,000 - £120,000 per year

We're partnering with a leading entertainment company seeking to hire a
Data Engineering Manager
to play a key role in their data operations and business intelligence initiatives.

Key Responsibilities:

  • Design & maintain
    AWS BI infrastructure (Redshift, S3, EMR) using Terraform and IaC best practices.
  • Develop CI/CD pipelines
    (Jenkins, GitHub Actions) to automate ETL and Power BI code deployments.
  • Manage environments
    (Dev, QA, UAT) and automate data refreshes for accuracy and consistency.
  • Oversee data pipelines
    and big data workflows (EMR, Spark) for high-performance analytics.
  • Optimize code
    for ETL and Power BI (DAX, data models, refresh scheduling) to enhance performance.
  • Implement observability
    and logging (CloudWatch, Grafana, ELK) for proactive system monitoring.
  • Collaborate cross-functionally
    with BI, Platform, and Data teams on releases and issue resolution.
  • Enforce security & compliance
    (RBAC, encryption, GDPR/HIPAA) across AWS services.
  • Monitor performance & costs
    in AWS, driving optimisation and efficiency.
  • Champion automation & innovation
    through new tools, frameworks, and cloud-native solutions.

Key Skills:

  • AWS Cloud:
    Expert in Redshift, S3, Lambda, EMR, and IaC (Terraform/CloudFormation); strong understanding of big data architecture and performance optimization.
  • CI/CD & Automation:
    Skilled in Jenkins, GitHub Actions, and Python scripting for automated ETL and Power BI deployments.
  • Data Engineering:
    Proficient in SQL, Spark, EMR, and data warehousing; experienced in optimizing ETL pipelines and Power BI models (DAX, refresh scheduling).
  • Containerization & DevOps:
    Hands-on with Docker and Kubernetes; experienced in scalable, portable BI and data environments.
  • Environment Management:
    Managed Dev/QA/UAT freshness, data synchronisation, and Jira-integrated release workflows.
  • Observability & Monitoring:
    Implemented CloudWatch, Datadog, Prometheus, and Grafana for logging, metrics, and alerting.
  • Troubleshooting & Problem Solving:
    Strong analytical and cross-functional collaboration skills; effective under pressure.
  • Project Delivery:
    Managed multiple concurrent BI and data releases using Agile (Scrum/Kanban); led change and release management efforts.
  • Security & Compliance:
    Familiar with RBAC, encryption, and data governance in regulated sectors (finance, healthcare, gaming).
  • Certifications:
    AWS Certified Solutions Architect / DevOps Engineer (Associate or Professional).

This is an excellent opportunity for an experienced Data Engineering Manager to join a leading company that are driven towards success

For further information on this Data Engineering Manager position, apply below

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.



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