Lead DataOps Engineer - Big Data

Hunter Bond
London, United Kingdom
8 months ago
Applications closed

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13 Feb 2026 (8 months ago)

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 appl...

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If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.