Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Ensure the reliability and efficiency of our modern data platform while optimising performance.
- Company: Join a forward-thinking company with a remote-first culture and exciting projects.
- Benefits: Enjoy a holiday buy scheme, annual bonuses, and exclusive discounts on holidays.
- Other info: Access to career development opportunities and comprehensive wellbeing support.
- Why this job: Make a real impact on data operations and collaborate with talented teams.
- Qualifications: Experience in data engineering and strong skills in Snowflake and SQL optimisation.
The predicted salary is between 60000 - 75000 £ per year.
The Data Operations Manager is responsible for ensuring the reliability, performance, and efficiency of our modern data platform. Working at the intersection of data engineering, platform operations, and team enablement, this role owns the operational health of our Snowflake data warehouse, dbt transformation layer, and ELT pipelines.
Platform Operations & Reliability
- Own the operational health of the Snowflake environment, including warehouse sizing, query performance optimisation, and cost management.
- Monitor and maintain dbt project health, including model performance, test coverage, and documentation standards.
- Ensure ELT pipeline reliability across ingestion tools (Fivetran, Airbyte, Stitch, or similar), with appropriate alerting and incident response processes.
- Manage data freshness SLAs and communicate proactively when issues arise.
Cost & Resource Management
- Monitor and optimise Snowflake credit consumption, identifying inefficient queries and recommending warehouse configurations.
- Implement resource monitors, tagging strategies, and chargeback models where appropriate.
- Partner with Finance to forecast data platform costs and manage budget.
Governance & Quality
- Establish and enforce data quality frameworks using dbt tests, freshness checks, and anomaly detection.
- Maintain access control policies and ensure compliance with data governance requirements.
- Own the incident management process for data issues, including root cause analysis and prevention measures.
Enablement & Process
- Define and maintain operational runbooks for common tasks and incident response.
- Support data engineers and analysts with best practices for dbt development, including code review standards and deployment processes.
- Champion observability tooling (Monte Carlo, Elementary, dbt Cloud, or similar) to provide visibility into data health.
Collaboration
- Work closely with Data Engineering on infrastructure improvements and architectural decisions.
- Partner with Analytics and Business Intelligence teams to understand data consumer needs and prioritise reliability improvements.
- Coordinate with Security and Compliance on audit requirements and access reviews.
Required Experience
- Extensive experience in data engineering, analytics engineering, or data platform roles.
- Strong hands-on experience with Snowflake administration and SQL optimisation.
- Proficiency with dbt (Core or Cloud), including advanced features like incremental models, macros, and testing frameworks.
- Experience operating ELT pipelines at scale with tools like Fivetran, Airbyte, or custom solutions.
- Understanding of DataOps principles and CI/CD for data (version control, automated testing, deployment pipelines).
Desirable
- Experience with data observability platforms (Monte Carlo, Elementary, Datafold).
- Familiarity with orchestration tools (Airflow, Dagster, Prefect).
- Background in cost optimisation for cloud data platforms.
- Knowledge of data governance frameworks and compliance requirements (GDPR, SOC2).
What’s In It For You?
- Holiday Buy Scheme.
- Annual bonus.
- Generous discounts on Haven and Warner Hotels holidays for you, your family and friends.
- Comprehensive wellbeing support.
- Access to the Bourne Leisure corporate box at the O2 Arena, London.
- Exclusive discounts with corporate partners.
- Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees.
- Enhanced family-friendly policies and pay (eligibility criteria applied).
Data Operations Manager in England employer: Haven
Contact Detail:
Haven Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Manager in England
✨Tip Number 1
Network like a pro! Reach out to folks in the data operations field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or case studies, share them during interviews. It’s a great way to demonstrate your hands-on experience with Snowflake and dbt.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of ELT pipelines and data governance frameworks. We want to see how you think on your feet, so practice articulating your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are keen to join us directly!
We think you need these skills to ace Data Operations Manager in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Operations Manager role. Highlight your experience with Snowflake, dbt, and ELT pipelines. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data operations and how you can contribute to our team. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data management or optimisation. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Haven
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data operations, especially around Snowflake and dbt. Brush up on your SQL optimisation skills and be ready to discuss how you've managed ELT pipelines in the past. This will show that you’re not just familiar with the tools, but you can also leverage them effectively.
✨Demonstrate Problem-Solving Skills
Prepare to share examples of how you've tackled data quality issues or optimised performance in previous roles. Think about specific incidents where you identified root causes and implemented solutions. This will highlight your analytical thinking and ability to manage operational health.
✨Showcase Your Collaboration Experience
Since this role involves working closely with various teams, be ready to discuss how you've collaborated with data engineers, analysts, and finance teams in the past. Highlight any successful projects where teamwork led to improved data reliability or cost management.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data governance frameworks and how they handle incident management. This shows your genuine interest in the role and helps you gauge if the company’s values align with yours. Plus, it gives you a chance to demonstrate your knowledge of industry best practices.