At a Glance
- Tasks: Support and optimise a modern cloud data platform for a leading retail organisation.
- Company: Join a major player in the retail industry undergoing a significant data transformation.
- Benefits: Gain exposure to cutting-edge technologies and collaborative teams.
- Other info: Great opportunity for career growth in a fast-paced environment.
- Why this job: Be part of a dynamic team shaping the future of data operations.
- Qualifications: Experience with data platforms, SQL skills, and familiarity with cloud technologies.
The predicted salary is between 63000 - 77000 £ per year.
Help build and support a modern cloud data platform
We're partnering with a leading international retail organisation undergoing a significant data transformation programme.
As they continue to modernise their technology landscape, they're looking for a
Dev Ops Analyst to help support and optimise their enterprise data platform.
This is a fantastic opportunity for someone who enjoys the operational side of data and technology, working at the intersection of Data Engineering, Platform Operations, and Dev Ops practices.
You'll play a key role in ensuring critical data products and platforms operate reliably, efficiently, and at scale.
Working closely with Data Engineers and Platform teams, you'll help monitor, support, and continuously improve a modern cloud-based data ecosystem.
This role is ideal for someone who enjoys solving technical problems, improving operational processes, and ensuring business-critical data services run smoothly.
Key Responsibilities
- Monitor and support data pipelines, workflows, and platform services.
- Investigate incidents, troubleshoot failures, and coordinate resolutions.
- Support deployments and release activities across multiple environments.
- Maintain operational documentation, runbooks, and support procedures.
- Drive improvements in monitoring, alerting, and platform observability.
- Collaborate with engineering teams to enhance platform stability and performance.
- Contribute to automation initiatives and continuous improvement activities.
- Analyse recurring issues and identify opportunities to reduce operational risk.
Experience & Skills
- Experience supporting data, cloud, or platform-based environments.
- Strong SQL skills and understanding of data pipelines.
- Exposure to cloud technologies, ideally Azure.
- Experience with Databricks, Azure Dev Ops, dbt, Snowflake, or similar technologies.
- Understanding of incident management, root cause analysis, and production support processes.
- Familiarity with CI/CD and release management practices.
- Exposure to Python or scripting languages would be beneficial.
- Strong communication and stakeholder management skills.
Why Apply?
- Join a large-scale business undergoing a major data transformation.
- Work with modern cloud and data technologies.
- Gain exposure to Data Ops, Dev Ops, and platform engineering practices.
- Collaborate with high-performing engineering and analytics teams.
- Help shape the future operational model of a growing data function.
If you're currently supporting data platforms, managing production incidents, coordinating releases, or helping cloud-based data environments run smoothly, this is an opportunity to take those skills into a business investing heavily in its modern data platform and Data Ops capabilities.
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DataOps Analyst in Reading employer: Caraffi
As an Industrial Relations Lead at our company, you will thrive in a dynamic and supportive work environment that values collaboration and innovation. We offer a hybrid working model, allowing for flexibility while ensuring you are equipped with the tools and resources needed for professional growth. Our commitment to employee development, coupled with a strong focus on trade union engagement, positions us as an excellent employer for those seeking meaningful and impactful work in the heart of a complex organisational landscape.
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We think this is how you could land DataOps Analyst in Reading
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Caraffi.
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We think you need these skills to ace DataOps Analyst in Reading
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
