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 truly 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.
Apr 01, 2026
Full time
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 truly 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.
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 truly 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.
Apr 01, 2026
Full time
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 truly 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.
Head of Data Platform Hybrid - South London Up to £110,000 + Bonus + Benefits Are you a data leader ready to shape the future of a modern cloud data platform? We're seeking a Head of Data Platform to spearhead a major migration project and lead a talented data engineering team at a fast-growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for 5+ years running. Take ownership of strategy, architecture, and delivery - with the freedom to innovate and drive change. Hybrid working model: South London office 1-3 days per week , balanced with flexibility to work from home. ? What you'll be doing: Own the end-to-end migration to BigQuery, working with both internal teams and implementation partners. Define and evolve the data platform strategy, governance, and roadmap. Manage and mentor a team of data engineers, fostering excellence and collaboration. Drive adoption of modern data engineering practices: CI/CD for data pipelines, DevOps/DataOps, Infrastructure-as-Code. Partner with stakeholders across pricing, analytics, operations, finance, and product to deliver real business value. Stay ahead of industry trends, ensuring the platform remains innovative, secure, and robust. ? What we're looking for: 5+ years' experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data projects in agile, cross-functional teams. ? Nice-to-haves: Background in insurance or other regulated industries. Knowledge of GDPR, data privacy, and security practices. Familiarity with BI tools (e.g. Looker, Power BI) or ML/AI platforms. Package & Perks: Salary up to £110,000 + annual bonus . Hybrid working (South London office 1-3 days per week). 25 days holiday + bank holidays (with ability to buy/sell). Private medical cover, life insurance, pension scheme. Wellbeing programme, retail discounts, charitable giving scheme. Ongoing learning & development opportunities.
Sep 22, 2025
Full time
Head of Data Platform Hybrid - South London Up to £110,000 + Bonus + Benefits Are you a data leader ready to shape the future of a modern cloud data platform? We're seeking a Head of Data Platform to spearhead a major migration project and lead a talented data engineering team at a fast-growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for 5+ years running. Take ownership of strategy, architecture, and delivery - with the freedom to innovate and drive change. Hybrid working model: South London office 1-3 days per week , balanced with flexibility to work from home. ? What you'll be doing: Own the end-to-end migration to BigQuery, working with both internal teams and implementation partners. Define and evolve the data platform strategy, governance, and roadmap. Manage and mentor a team of data engineers, fostering excellence and collaboration. Drive adoption of modern data engineering practices: CI/CD for data pipelines, DevOps/DataOps, Infrastructure-as-Code. Partner with stakeholders across pricing, analytics, operations, finance, and product to deliver real business value. Stay ahead of industry trends, ensuring the platform remains innovative, secure, and robust. ? What we're looking for: 5+ years' experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data projects in agile, cross-functional teams. ? Nice-to-haves: Background in insurance or other regulated industries. Knowledge of GDPR, data privacy, and security practices. Familiarity with BI tools (e.g. Looker, Power BI) or ML/AI platforms. Package & Perks: Salary up to £110,000 + annual bonus . Hybrid working (South London office 1-3 days per week). 25 days holiday + bank holidays (with ability to buy/sell). Private medical cover, life insurance, pension scheme. Wellbeing programme, retail discounts, charitable giving scheme. Ongoing learning & development opportunities.
