At a Glance
- Tasks: Ensure data quality and reliability while designing monitoring frameworks for complex data systems.
- Company: Join a leading multinational tech company with a focus on innovation.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with teams to shift towards proactive data reliability management.
- Why this job: Make a real impact on data trustworthiness and decision-making in a dynamic environment.
- Qualifications: Experience in Data Engineering, strong SQL and Python skills, and familiarity with cloud data platforms.
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 Engineer, SQL, Home Based in London employer: Ashdown Group
Join a leading multinational technology business that prioritises innovation and employee development in a dynamic work environment. With the flexibility of hybrid working, you will enjoy a supportive culture that encourages collaboration and continuous learning, while making a significant impact on data reliability and quality across the organisation. This role offers unique opportunities for professional growth and the chance to work with cutting-edge technologies in a modern cloud-based setting.
