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 optimisation.
* 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 DevOps Manager to join a leading company that are driven towards success!
For further information on this Data DevOps 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.
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