Hybrid Data Reliability Engineer – Observability & Quality

Ashdown Group; England; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

Ashdown Group is seeking a Data Engineer to join their data team in Central London. This hybrid role allows for 2 days of work from home each week.

You will focus on improving data quality, building observability across data platforms, and ensuring data reliability end-to-end. Ideal candidates will have strong skills in SQL and Python, along with experience in cloud-based data environments and observability tools.

Qualifications

• Excellent SQL and Python skills.
• Experience with data observability and governance tools.
• Hands-on experience in cloud-based data environments.
• Proactive problem-solving skills.

Responsibilities

• Improve data quality and reduce incidents.
• Build scalable observability across data platform.
• Define and manage data SLAs and SLOs.
• Implement automated validation and observability tooling.

Skills

SQL

Python

Data observability tools (Grafana, Monte Carlo, Acceldata)

Data governance/quality platforms (Informatica, Collibra, Microsoft Purview)

CI/CD and Infrastructure-as-Code

Tools

Azure ecosystem (data lakes, ETL/ELT pipelines)

Job description

Ashdown Group is seeking a Data Engineer to join their data team in Central London. This hybrid role allows for 2 days of work from home each week.

You will focus on improving data quality, building observability across data platforms, and ensuring data reliability end-to-end. Ideal candidates will have strong skills in SQL and Python, along with experience in cloud-based data environments and observability tools.