At a Glance
- Tasks: Ensure data quality and reliability across a modern enterprise data platform.
- Company: Join a successful multinational technology business in Central London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture focused on proactive problem-solving and innovative solutions.
- Why this job: Make a real impact on data trust and decision-making in a dynamic environment.
- Qualifications: Experience in Data Engineering or SRE roles with strong SQL and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
A successful multinational technology business is looking for a Data Reliability Engineer to join its growing data team in Central London. This role is hybrid; you'll be able to work from home 2 days per week.
This is a high-impact role focused on improving data quality, reducing incidents, and building scalable observability across a modern enterprise data platform. You'll help ensure data across the organisation is accurate, reliable, and trusted for critical business decision-making.
You’ll take ownership of data reliability end-to-end, designing and implementing frameworks that monitor data health, detect anomalies, and enforce standards across complex data pipelines and platforms.
You’ll have experience in Data Engineering, Data Platform, or SRE-style roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage.
Working across Data Engineering and Data Governance teams, you’ll help shift the organisation from reactive issue resolution to a proactive, reliability-led approach. You’ll define and manage data SLAs and SLOs, implement automated validation and observability tooling, and lead root cause analysis when issues occur.
You’ll also have experience building automated data validation frameworks, defining SLAs/SLOs, and working with distributed data architectures. Familiarity with CI/CD and Infrastructure-as-Code is beneficial. Most importantly, you’re a proactive problem-solver who enjoys working collaboratively and improving systems at their root cause.
If you’re looking to take ownership of data reliability in a complex enterprise environment and make a real impact on how data is trusted and used, apply today for immediate consideration.
Data Reliability Engineer in City of London employer: Ashdown Group
Join a leading multinational technology business in Central London as a Data Reliability Engineer, where you'll be part of a dynamic and innovative data team. Enjoy a hybrid work model that promotes work-life balance, alongside opportunities for professional growth and development in a collaborative environment. With a focus on improving data quality and reliability, you'll play a crucial role in shaping the future of data-driven decision-making while benefiting from a culture that values proactive problem-solving and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Data Reliability Engineer in City of London
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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 Ashdown Group.
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We think you need these skills to ace Data Reliability Engineer in City of London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ashdown Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ashdown Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ashdown Group
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ashdown Group!
✨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.
