At a Glance
- Tasks: Ensure data quality and reliability across a modern enterprise data platform.
- Company: Join a successful multinational tech business in Central London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work with cutting-edge tools and enjoy a proactive, reliability-led approach.
- Why this job: Make a real impact on data trust and decision-making in a dynamic environment.
- Qualifications: Experience in Data Engineering 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 Observability 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 Data Observability 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. 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 Engineers required ASAP in London employer: Ashdown Group
Join a leading multinational technology business in Central London, where you will be part of a dynamic and innovative data team dedicated to enhancing data quality and reliability. With a hybrid work model that promotes flexibility, you will have the opportunity to grow your skills in a supportive environment that values employee development and collaboration. This role not only offers competitive benefits but also the chance to make a significant impact on critical business decision-making through your expertise in data observability.
