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- Tasks: Design and maintain AWS BI infrastructure while automating data processes.
- Company: Join a leading entertainment company focused on innovation and success.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and make a real impact in the entertainment industry.
- Qualifications: Expertise in AWS, CI/CD, and data engineering required.
- Other info: Dynamic team culture with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ 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 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!
Data DevOps Engineer in Watford employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data DevOps Engineer in Watford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, CI/CD, and data engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and AWS services. Practise explaining your past projects and how you tackled challenges—this will help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data DevOps Engineer in Watford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data DevOps Engineer role. Highlight your experience with AWS, CI/CD pipelines, and any relevant projects that showcase your skills in data engineering and automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with the key responsibilities. Don’t forget to mention your experience with tools like Terraform and Jenkins.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's optimising ETL pipelines or implementing observability tools, real-world examples can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Addition+
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS services like Redshift, S3, and EMR. Brush up on Terraform and CI/CD tools like Jenkins and GitHub Actions. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering or DevOps. Whether it’s optimising ETL pipelines or implementing observability tools, having specific scenarios ready will demonstrate your analytical skills and ability to work under pressure.
✨Understand the Business Context
Research the entertainment company and understand their data operations and business intelligence needs. Tailor your responses to show how your skills can directly benefit their initiatives, especially in optimising performance and driving innovation.
✨Be Ready for Scenario-Based Questions
Expect questions that ask how you would handle specific situations, like managing environments or ensuring security compliance. Practise articulating your thought process clearly, as this will highlight your strategic thinking and technical expertise.
