Senior Data Ops Engineer
CompanySpecsavers
Location
Nottingham, England, United Kingdom
Employment TypeFull-time
Posted At3/28/2026
UK Visa Sponsorship Analytics
Occupation Type
IT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900
(£28.15 per hour)
Occupation rate applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
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Description
Are you passionate about building the engine that powers data at scale? At Specsavers, we’re looking for a Senior DataOps Engineer to play a critical role at the heart of our Data Engineering team helping us build, run, and continuously improve the platforms that enable data-driven decision making across the business.
This is an exciting opportunity to own the “assembly line” behind our data products. You’ll be focused on making our data platform faster, more reliable, and easier to work with using automation, observability, and modern engineering practices to improve quality, resilience, and speed to value. If you enjoy solving complex problems, reducing friction for engineering teams, and making systems run better every day, this role will really resonate.
In this role, you’ll be hands-on building and evolving our DataOps capability automating data pipelines, testing data quality, and ensuring our production and development environments are monitored, observable, and highly performant. You’ll work closely with Data Engineers, QA, DevOps, and platform teams to replace manual processes with smart orchestration, enable self-service environments, and deploy with confidence through CI/CD and infrastructure-as-code. Your work will directly impact how quickly and safely data products can be delivered to the business.
You’ll thrive here if you bring strong, real-world experience in DataOps and cloud-based data platforms. You’ll be comfortable working end-to-end across Azure based technologies such as Databricks, Data Factory, Data Lake and Azure SQL, and confident using Python, SQL, Git, and automation tooling to improve reliability and scalability. Experience with containerisation, Kubernetes, Terraform, and modern DevOps practices will allow you to lead by example and champion best practice across the data engineering community.
What really sets you apart is your mindset. You care deeply about quality, observability, and operational excellence. You enjoy collaborating across teams, explaining complex technical concepts in simple terms, and helping others learn and improve. You’re curious, proactive, and always looking for smarter, more efficient ways to do things while keeping security, performance, and cost firmly in mind.
If you’re excited by the idea of enabling data at scale, building robust platforms, and having real influence over how data engineering is done across a global organisation, this is a role where you can tr
This is an exciting opportunity to own the “assembly line” behind our data products. You’ll be focused on making our data platform faster, more reliable, and easier to work with using automation, observability, and modern engineering practices to improve quality, resilience, and speed to value. If you enjoy solving complex problems, reducing friction for engineering teams, and making systems run better every day, this role will really resonate.
In this role, you’ll be hands-on building and evolving our DataOps capability automating data pipelines, testing data quality, and ensuring our production and development environments are monitored, observable, and highly performant. You’ll work closely with Data Engineers, QA, DevOps, and platform teams to replace manual processes with smart orchestration, enable self-service environments, and deploy with confidence through CI/CD and infrastructure-as-code. Your work will directly impact how quickly and safely data products can be delivered to the business.
You’ll thrive here if you bring strong, real-world experience in DataOps and cloud-based data platforms. You’ll be comfortable working end-to-end across Azure based technologies such as Databricks, Data Factory, Data Lake and Azure SQL, and confident using Python, SQL, Git, and automation tooling to improve reliability and scalability. Experience with containerisation, Kubernetes, Terraform, and modern DevOps practices will allow you to lead by example and champion best practice across the data engineering community.
What really sets you apart is your mindset. You care deeply about quality, observability, and operational excellence. You enjoy collaborating across teams, explaining complex technical concepts in simple terms, and helping others learn and improve. You’re curious, proactive, and always looking for smarter, more efficient ways to do things while keeping security, performance, and cost firmly in mind.
If you’re excited by the idea of enabling data at scale, building robust platforms, and having real influence over how data engineering is done across a global organisation, this is a role where you can tr
uly make your mark. Join us as a Senior DataOps Engineer and help power the data foundations that support Specsavers’ mission to change lives through better sight and hearing.