{"schemaVersion":"jobsearcher.job.v1","id":"2990a6618d6f792a623d01d4","url":"https://jobsearcher.com/jobs/2990a6618d6f792a623d01d4","canonicalUrl":"https://jobsearcher.com/jobs/2990a6618d6f792a623d01d4","title":"Senior Analytics Engineer","description":"£60,000 - £80,000 Base + Performance Related Bonus + Benefits\r\nTL;DR\r\nLocation: UK-based, fast growing data and AI consultancy specialising in the energy sector\r\nConsultancy / Energy Experience: Highly beneficial, not essential\r\nCloud: Strong AWS, Azure or GCP (multi-cloud desirable, certs a plus)\r\nVisa Sponsorship: Not available – you must already have the right to work in the UK\r\nFlexibility: We welcome part-time, condensed hours, job-shares and other arrangements – if you're unsure, apply and lets talk\r\nDiversity & Inclusion: We want a broad mix of people and perspectives\r\nWho We Are\r\nHypercube Consulting is a rapidly scaling data-and-AI specialist focused on the energy sector. We pair deep domain know-how with modern technology to help utilities, renewables and low-carbon innovators unlock value from data. Learn more about how we think on our founders blog atAdam Sroka - Beyond Data | Substack\r\nAs a senior analytics engineer, you will truly understand a clients requirements to build, test and deploy data solutions that help customers deliver more value from their data. This will be a senior role in the technical delivery teams and will guide and support the ongoing data strategy and roadmap goals of our customers. You'll get stuck into the end-to-end data workflow using modern tools across a range of technology stacks.\r\nKey Responsibilities\r\nRequirements Gathering - Understand and translate end-user requirements into designs and delivery plans for effective data solutions\r\nData Modelling - Model, build and test robust, fit-for-purpose data assets\r\nData Pipelines - Design, develop, execute, and maintain highly automated data platforms, pipelines and applications using modern cloud technologies\r\nData Governance - Ensure strong data governance involving discoverability, security, and data quality\r\nBI - Produce high quality, compelling visualisations to tell our clients' stories\r\nCommunicate Effectively - Produce high-quality communications, documentation, and presentations of solutions for colleagues\r\nPractice Building - Subject matter expert and evangelist for analytics engineering. Helping to grow both our internal knowledge and skillsets as we scale.\r\nCommercial, Pre-Sales & Outreach - Working with the business development team to shape and win new projects. Contribution to Hypercubes blog and other outreach efforts.\r\nTechnical Skills & Experience (core)\r\nWe understand that this list is extensive – please apply if you fit some or only part of it. We want to see the broadest range of possible candidates from a diverse mix of backgrounds. Technical skills are only part of the equation.\r\nIdeally, you will have hands-on experience with the following in a previous role:\r\nCloud platform environments (AWS, Azure, GCP)\r\nSQL and Python\r\nData modelling approaches for complex, business critical workloads\r\nBuilding data pipelines in both Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) and Data Lakes/Lakehouses architectures (Databricks, Azure Fabric/OneLake, AWS Lake Formation, Spark, Athena, etc.)\r\nWorking with ETL tools such as Fivetran, Hevo or Matillion in production environments\r\nBI tools such as Tableau / Power BI\r\nTesting\r\nAdditional experience with the following would be beneficial but not essential\r\nOrchestration tools - Apache Airflow, Prefect or cloud-native tools\r\nRelational, NoSQL, graph and vector databases\r\nCI/CD and other DevOps practices such as IaC\r\nOther desirable skills and experience\r\nAbility to act as a senior mentor and leadership figure for a growing data and analytics consultancy\r\nBuilding projects or sharing knowledge in public – whether that be contributing to open source, blogging, YouTube, content creation, speaking at events, or similar.\r\nExperience translating designs of data solutions into action\r\nAnalysis/requirements gathering, solution design, and implementation of data platform and cloud technologies\r\nExperience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, AI/ML engineers, data scientists etc.\r\nExperience in implementing integrations of data platforms to various types of external and on-premises systems\r\nExceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.\r\nWhat's in It for You?\r\nHigh Impact: Solve difficult problems for leading energy players tackling net-zero challenges\r\nFlexible Working: Remote/hybrid, part-time or condensed options – we measure outcomes, not chair-time\r\nPersonal Brand: We sponsor conferences, blog posts and OSS work – your thought-leadership is encouraged\r\nStart-Up Energy, Consultancy Rigour: Best of both worlds – fast decisions, minimal bureaucracy, clear processes\r\nPerformance-Related Bonus\r\nEnhanced Pension\r\nEnhanced Maternity/Paternity\r\nPrivate Health Insurance\r\nHealth Cash Plan\r\nCycle-to-Work Scheme\r\nFlexible Working (remote/hybrid options)\r\nEvents & Community involvement\r\nEV Leasing Scheme\r\nTraining & Events Budget\r\nDiversity & Inclusion\r\nHypercube aims to mirror the diversity of wider society. We welcome applications from all backgrounds and guarantee that hiring decisions are based on merit and potential alone. If you need adjustments – flexible hours, interview tweaks, or anything else – just tell us.\r\nReady to Apply?\r\nEven if you tick only some of the boxes, wed still love to hear from you. Apply via our careers page or reach out to the talent team on LinkedIn. Lets accelerate the energy transition together – one intelligent model at a time.\r\nJ-18808-Ljbffr","company":"Hypercube","rawCompany":"hypercube","city":"Sterling","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:52:12.332Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Analytics Engineer","description":"£60,000 - £80,000 Base + Performance Related Bonus + Benefits\r\nTL;DR\r\nLocation: UK-based, fast growing data and AI consultancy specialising in the energy sector\r\nConsultancy / Energy Experience: Highly beneficial, not essential\r\nCloud: Strong AWS, Azure or GCP (multi-cloud desirable, certs a plus)\r\nVisa Sponsorship: Not available – you must already have the right to work in the UK\r\nFlexibility: We welcome part-time, condensed hours, job-shares and other arrangements – if you're unsure, apply and lets talk\r\nDiversity & Inclusion: We want a broad mix of people and perspectives\r\nWho We Are\r\nHypercube Consulting is a rapidly scaling data-and-AI specialist focused on the energy sector. We pair deep domain know-how with modern technology to help utilities, renewables and low-carbon innovators unlock value from data. Learn more about how we think on our founders blog atAdam Sroka - Beyond Data | Substack\r\nAs a senior analytics engineer, you will truly understand a clients requirements to build, test and deploy data solutions that help customers deliver more value from their data. This will be a senior role in the technical delivery teams and will guide and support the ongoing data strategy and roadmap goals of our customers. You'll get stuck into the end-to-end data workflow using modern tools across a range of technology stacks.\r\nKey Responsibilities\r\nRequirements Gathering - Understand and translate end-user requirements into designs and delivery plans for effective data solutions\r\nData Modelling - Model, build and test robust, fit-for-purpose data assets\r\nData Pipelines - Design, develop, execute, and maintain highly automated data platforms, pipelines and applications using modern cloud technologies\r\nData Governance - Ensure strong data governance involving discoverability, security, and data quality\r\nBI - Produce high quality, compelling visualisations to tell our clients' stories\r\nCommunicate Effectively - Produce high-quality communications, documentation, and presentations of solutions for colleagues\r\nPractice Building - Subject matter expert and evangelist for analytics engineering. Helping to grow both our internal knowledge and skillsets as we scale.\r\nCommercial, Pre-Sales & Outreach - Working with the business development team to shape and win new projects. Contribution to Hypercubes blog and other outreach efforts.\r\nTechnical Skills & Experience (core)\r\nWe understand that this list is extensive – please apply if you fit some or only part of it. We want to see the broadest range of possible candidates from a diverse mix of backgrounds. Technical skills are only part of the equation.\r\nIdeally, you will have hands-on experience with the following in a previous role:\r\nCloud platform environments (AWS, Azure, GCP)\r\nSQL and Python\r\nData modelling approaches for complex, business critical workloads\r\nBuilding data pipelines in both Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) and Data Lakes/Lakehouses architectures (Databricks, Azure Fabric/OneLake, AWS Lake Formation, Spark, Athena, etc.)\r\nWorking with ETL tools such as Fivetran, Hevo or Matillion in production environments\r\nBI tools such as Tableau / Power BI\r\nTesting\r\nAdditional experience with the following would be beneficial but not essential\r\nOrchestration tools - Apache Airflow, Prefect or cloud-native tools\r\nRelational, NoSQL, graph and vector databases\r\nCI/CD and other DevOps practices such as IaC\r\nOther desirable skills and experience\r\nAbility to act as a senior mentor and leadership figure for a growing data and analytics consultancy\r\nBuilding projects or sharing knowledge in public – whether that be contributing to open source, blogging, YouTube, content creation, speaking at events, or similar.\r\nExperience translating designs of data solutions into action\r\nAnalysis/requirements gathering, solution design, and implementation of data platform and cloud technologies\r\nExperience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, AI/ML engineers, data scientists etc.\r\nExperience in implementing integrations of data platforms to various types of external and on-premises systems\r\nExceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.\r\nWhat's in It for You?\r\nHigh Impact: Solve difficult problems for leading energy players tackling net-zero challenges\r\nFlexible Working: Remote/hybrid, part-time or condensed options – we measure outcomes, not chair-time\r\nPersonal Brand: We sponsor conferences, blog posts and OSS work – your thought-leadership is encouraged\r\nStart-Up Energy, Consultancy Rigour: Best of both worlds – fast decisions, minimal bureaucracy, clear processes\r\nPerformance-Related Bonus\r\nEnhanced Pension\r\nEnhanced Maternity/Paternity\r\nPrivate Health Insurance\r\nHealth Cash Plan\r\nCycle-to-Work Scheme\r\nFlexible Working (remote/hybrid options)\r\nEvents & Community involvement\r\nEV Leasing Scheme\r\nTraining & Events Budget\r\nDiversity & Inclusion\r\nHypercube aims to mirror the diversity of wider society. We welcome applications from all backgrounds and guarantee that hiring decisions are based on merit and potential alone. If you need adjustments – flexible hours, interview tweaks, or anything else – just tell us.\r\nReady to Apply?\r\nEven if you tick only some of the boxes, wed still love to hear from you. Apply via our careers page or reach out to the talent team on LinkedIn. Lets accelerate the energy transition together – one intelligent model at a time.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:52:12.332Z","dateModified":"2026-04-09T15:52:12.332Z","hiringOrganization":{"@type":"Organization","name":"Hypercube","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sterling","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2990a6618d6f792a623d01d4"},"url":"https://jobsearcher.com/jobs/2990a6618d6f792a623d01d4"}}