Lead Dataops Engineer - Big Data

Hunter Bond; City Of London; On-site; GBP 76,000 - 90,000; Full time

Job summary

A leading tech company in London is seeking a Lead DataOps Engineer to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. You will be responsible for operational leadership, incident management, and stakeholder communication. Expertise in Azure Synapse, Databricks, and a strong FinOps mindset are essential. This position offers up to £90,000 salary with bonuses and good work from home options.

Qualifications

• Proven operational leadership for large-scale data platforms.
• Expertise in incident management and stakeholder communication.
• Hands-on experience with Azure Synapse, Databricks, ADF, and Power BI.

Responsibilities

• Ensure resilience and performance of the Azure-based data platform.
• Serve as a single point of contact for operational issues.
• Drive rapid resolution during outages and lead communications with stakeholders.

Skills

Operational leadership for large-scale data platforms

Incident management

SLA enforcement

Stakeholder communication

Azure Synapse

Databricks

ADF

Power BI

CI/CD

Automation

FinOps mindset

Cost management

Monitoring frameworks

Observability frameworks

Job description

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight.

You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently.

This is a newly created role in a growing business. A brilliant opportunity!

The following skills/experience is required:

• Proven operational leadership for large-scale data platforms.
• Expertise in incident management, SLA enforcement, and stakeholder communication.
• Hands‑on experience with Azure Synapse, Databricks, ADF, Power BI.
• Familiarity with CI/CD and automation.
• Strong FinOps mindset and cost management experience.
• Knowledge of monitoring and observability frameworks.

Salary: Up to £90,000 + bonus + package

Level: Lead Engineer

Location: London (good work from home options available)

If you are interested in this Lead DataOps Engineer (Big Data) position and meet the above requirements please apply immediately.