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lead dataops engineer big data
Hunter Bond
Lead DataOps Engineer - Big Data
Hunter Bond
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.
Dec 10, 2025
Full time
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.
Harnham - Data & Analytics Recruitment
Head of Data Platform Hands-on GCP
Harnham - Data & Analytics Recruitment
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.

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