Become a change maker and join Node4.
Node4 have a committed, talented, and diverse workforce that is growing all the time, but as we expand through our own growth and acquisitions, we never lose sight of the most important part of our business - our people. We want you to grow, learn, and evolve alongside us.
So, whether you're just starting out in your career or looking to progress as an industry professional, Node4 has a place for you.
About the role As a Public Cloud Second Line Engineer, you’ll provide advanced, customer‑facing technical support across Microsoft Azure and Microsoft 365 within a managed services environment. Acting as a key escalation point from 1st Line, you’ll take ownership of incidents and service requests end‑to‑end – from deep technical investigation through to resolution or structured escalation to 3rd Line engineering teams.
You’ll work hands‑on with cloud and productivity platforms, diagnose complex issues, apply permanent fixes where appropriate, and communicate clearly with customers throughout the incident lifecycle. You’ll also collaborate closely with internal teams to ensure services are delivered in line with agreed SLAs and customer expectations.
This role will also include providing on‑site cover when required at a customer site in West Yorkshire, as well as participation in an on‑call rota, including night shifts.
What you’ll be doing
Acting as a 2nd Line escalation point for Azure and Microsoft 365 incidents and service requests
Owning incidents from investigation through to resolution, keeping customers informed throughout
Providing advanced troubleshooting across Microsoft Azure, including:
Virtual Machines
Azure Storage, Backup and Recovery
Azure Monitor, Log Analytics and alerting
Azure Active Directory and RBAC
Supporting Microsoft 365 services, including:
Exchange Online (mail flow, mailbox issues, permissions and hybrid scenarios)
SharePoint Online and OneDrive for Business
Microsoft Teams (calling, meetings, integrations and client issues)
Microsoft 365 security and compliance features (where applicable)
Escalating complex or high‑impact issues to 3rd Line teams with clear technical detail and evidence
Supporting planned changes, maintenance and service improvement activities
Creating and maintaining technical documentation, knowledge base articles and known error records
Working closely with Service Desk, Cloud Engineering and wider teams to deliver a consistent support experience
Providing on‑site support when required
What will you bring?
2–3 years’ experience supporting Microsoft technologies in a production environment
Strong hands‑on experience with Microsoft Azure
Strong experience supporting Microsoft 365 workloads
Experience supporting hybrid environments (on‑premises integrated with Azure and M365)
Working knowledge of ITIL‑aligned support environments
Excellent customer service skills with the ability to manage multiple priorities
Strong troubleshooting, analytical and problem‑solving capability
Clear written and verbal communication skills, including technical documentation
Ability to achieve and maintain NPPV3 with SC clearance
Desirable:
Valid UK driving licence and access to a car
Microsoft certifications such as AZ‑900 and AZ‑104
Experience supporting large or complex tenant environments
What can we offer you?
Hybrid Working
Private Medical Insurance or Company Paid Health Cash Plan
Employee Assistance Program
25 days holidays plus your birthday off
Option to purchase additional holiday (up to 5 days)
Company Pension Scheme
Life Assurance x 4
A diverse workforce
Employee investment with Node4 training Academy
Family savings and shopping discounts through the Node4 benefits portal.
Discounted Gym Membership
Modern facilities with open and welcoming breakout areas
Company Social events
Never ending supply of hot and cold drinks, biscuits, sweets, and fruit
Why join Node4?
Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide. From three people to a workforce of over 1200. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. We are proud of our employees and the environment that reflects our core business values of Passion, Innovation, and Trust.
09/03/2026
Full time
Become a change maker and join Node4.
Node4 have a committed, talented, and diverse workforce that is growing all the time, but as we expand through our own growth and acquisitions, we never lose sight of the most important part of our business - our people. We want you to grow, learn, and evolve alongside us.
So, whether you're just starting out in your career or looking to progress as an industry professional, Node4 has a place for you.
About the role As a Public Cloud Second Line Engineer, you’ll provide advanced, customer‑facing technical support across Microsoft Azure and Microsoft 365 within a managed services environment. Acting as a key escalation point from 1st Line, you’ll take ownership of incidents and service requests end‑to‑end – from deep technical investigation through to resolution or structured escalation to 3rd Line engineering teams.
You’ll work hands‑on with cloud and productivity platforms, diagnose complex issues, apply permanent fixes where appropriate, and communicate clearly with customers throughout the incident lifecycle. You’ll also collaborate closely with internal teams to ensure services are delivered in line with agreed SLAs and customer expectations.
This role will also include providing on‑site cover when required at a customer site in West Yorkshire, as well as participation in an on‑call rota, including night shifts.
What you’ll be doing
Acting as a 2nd Line escalation point for Azure and Microsoft 365 incidents and service requests
Owning incidents from investigation through to resolution, keeping customers informed throughout
Providing advanced troubleshooting across Microsoft Azure, including:
Virtual Machines
Azure Storage, Backup and Recovery
Azure Monitor, Log Analytics and alerting
Azure Active Directory and RBAC
Supporting Microsoft 365 services, including:
Exchange Online (mail flow, mailbox issues, permissions and hybrid scenarios)
SharePoint Online and OneDrive for Business
Microsoft Teams (calling, meetings, integrations and client issues)
Microsoft 365 security and compliance features (where applicable)
Escalating complex or high‑impact issues to 3rd Line teams with clear technical detail and evidence
Supporting planned changes, maintenance and service improvement activities
Creating and maintaining technical documentation, knowledge base articles and known error records
Working closely with Service Desk, Cloud Engineering and wider teams to deliver a consistent support experience
Providing on‑site support when required
What will you bring?
2–3 years’ experience supporting Microsoft technologies in a production environment
Strong hands‑on experience with Microsoft Azure
Strong experience supporting Microsoft 365 workloads
Experience supporting hybrid environments (on‑premises integrated with Azure and M365)
Working knowledge of ITIL‑aligned support environments
Excellent customer service skills with the ability to manage multiple priorities
Strong troubleshooting, analytical and problem‑solving capability
Clear written and verbal communication skills, including technical documentation
Ability to achieve and maintain NPPV3 with SC clearance
Desirable:
Valid UK driving licence and access to a car
Microsoft certifications such as AZ‑900 and AZ‑104
Experience supporting large or complex tenant environments
What can we offer you?
Hybrid Working
Private Medical Insurance or Company Paid Health Cash Plan
Employee Assistance Program
25 days holidays plus your birthday off
Option to purchase additional holiday (up to 5 days)
Company Pension Scheme
Life Assurance x 4
A diverse workforce
Employee investment with Node4 training Academy
Family savings and shopping discounts through the Node4 benefits portal.
Discounted Gym Membership
Modern facilities with open and welcoming breakout areas
Company Social events
Never ending supply of hot and cold drinks, biscuits, sweets, and fruit
Why join Node4?
Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide. From three people to a workforce of over 1200. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. We are proud of our employees and the environment that reflects our core business values of Passion, Innovation, and Trust.
AI Ops Engineer Working Arrangement: Remote (Flexible) Outside IR35 FTC OR Freelance/Contract My client is a high-growth, product-led SaaS business operating at scale across the UK, supporting high-volume, business-critical workflows. The business is investing in becoming more data-driven and operationally efficient, with AI as a key lever for improving productivity, reducing cost, and enhancing customer experience. This is a fixed-term project role focused on embedding AI into core operations. The Role I am looking for a commercially minded AI Operations consultant to identify inefficiencies, design and implement AI-driven solutions, and embed AI as a core operational capability. You will work cross-functionally across Customer Operations, Marketing, Training, Finance and Strategy to automate workflows, reduce manual overhead, improve reporting, increase support efficiency, and leverage internal data platforms to drive intelligent automation, with a focus on delivering measurable improvements in cost, efficiency, and operational performance. Core Responsibilities Define and execute an AI operations roadmap, prioritising initiatives based on ROI and business impact Identify inefficiencies and design AI-driven workflow automation across core systems (eg CRM workflows, support ticket triage, reporting automation) Build and deploy automation pipelines using tools such as Zapier/Make, LLM APIs, and API/webhook integrations Leverage internal data platforms to create event-driven workflows, predictive insights, and AI-enabled reporting Establish governance frameworks, ensure GDPR compliance, and develop internal AI playbooks Drive adoption and training across teams to embed AI into day-to-day operations Required Experience Proven experience delivering AI-driven workflow automation in a SaaS or product-led environment Strong experience across core SaaS operational systems, ideally covering CRM, support, billing and product analytics (Salesforce, Zendesk, Zuora, Pendo) Strong API integration capability and experience with automation tooling Proficiency in Python and SQL Experience working with LLM APIs and prompt engineering Great to have Additional exposure to data platforms such as Databricks or ThoughtSpot Understanding of RAG pipelines and vector databases (Hands-on experience across several of the above systems is beneficial) Commercial & Operational Experience operating in a SaaS environment with a strong understanding of core metrics (MRR, churn, retention). Demonstrated ability to deliver measurable ROI from automation initiatives, combined with strong cross-functional stakeholder management. This is an opportunity to shape how AI is Embedded into a scaled SaaS platform - not as experimentation, but as core operational infrastructure.
14/04/2026
AI Ops Engineer Working Arrangement: Remote (Flexible) Outside IR35 FTC OR Freelance/Contract My client is a high-growth, product-led SaaS business operating at scale across the UK, supporting high-volume, business-critical workflows. The business is investing in becoming more data-driven and operationally efficient, with AI as a key lever for improving productivity, reducing cost, and enhancing customer experience. This is a fixed-term project role focused on embedding AI into core operations. The Role I am looking for a commercially minded AI Operations consultant to identify inefficiencies, design and implement AI-driven solutions, and embed AI as a core operational capability. You will work cross-functionally across Customer Operations, Marketing, Training, Finance and Strategy to automate workflows, reduce manual overhead, improve reporting, increase support efficiency, and leverage internal data platforms to drive intelligent automation, with a focus on delivering measurable improvements in cost, efficiency, and operational performance. Core Responsibilities Define and execute an AI operations roadmap, prioritising initiatives based on ROI and business impact Identify inefficiencies and design AI-driven workflow automation across core systems (eg CRM workflows, support ticket triage, reporting automation) Build and deploy automation pipelines using tools such as Zapier/Make, LLM APIs, and API/webhook integrations Leverage internal data platforms to create event-driven workflows, predictive insights, and AI-enabled reporting Establish governance frameworks, ensure GDPR compliance, and develop internal AI playbooks Drive adoption and training across teams to embed AI into day-to-day operations Required Experience Proven experience delivering AI-driven workflow automation in a SaaS or product-led environment Strong experience across core SaaS operational systems, ideally covering CRM, support, billing and product analytics (Salesforce, Zendesk, Zuora, Pendo) Strong API integration capability and experience with automation tooling Proficiency in Python and SQL Experience working with LLM APIs and prompt engineering Great to have Additional exposure to data platforms such as Databricks or ThoughtSpot Understanding of RAG pipelines and vector databases (Hands-on experience across several of the above systems is beneficial) Commercial & Operational Experience operating in a SaaS environment with a strong understanding of core metrics (MRR, churn, retention). Demonstrated ability to deliver measurable ROI from automation initiatives, combined with strong cross-functional stakeholder management. This is an opportunity to shape how AI is Embedded into a scaled SaaS platform - not as experimentation, but as core operational infrastructure.
At AVK we're looking for a Data Engineer to join our Business Operations team. In this role, you'll be responsible for designing, building, and maintaining AVK's end to end data infrastructure owning the full data lifecycle from source extraction through transformation to semantic modelling, enabling reliable, high quality data to power reporting, analytics, and decision making across the business. Key Responsibilities: Design, build, and maintain robust ETL and ELT pipelines. Develop logical and physical data models. Build and optimise semantic models and datasets designed for Power BI and downstream analytics and reporting. Integrate and structure data from core enterprise platforms including CRM, Finance, and Project Management systems. Act as the bridge between business and data. Work with stakeholders across Business Operations and wider teams to understand requirements, translate business problems into technical solutions, and communicate data concepts clearly to varying levels of data literacy. Develop efficient, scalable SQL and Python solutions. Optimise pipelines and data models for performance, reliability, and long term scalability. Implement validation, monitoring, and error handling frameworks to ensure high data quality, reliability, and organisational trust in data outputs. Requirements 2-3 years experience in data engineering Advanced proficiency in SQL and Python for data extraction, transformation, modelling, and pipeline orchestration. Proven experience delivering across the full data lifecycle from raw data extraction through transformation to semantic modelling for business intelligence. Strong understanding of how data should be structured and modelled to support performant dashboards, reporting, and analytics. Ability to clearly communicate complex technical concepts and translate business needs into effective data solutions. Comfortable operating in a fast moving, cross functional environment with evolving data maturity. Benefits Competitive salary and benefits package Flexible / hybrid working options Ongoing training and career development Supportive, collaborative team environment Health Care Bonus Scheme
14/04/2026
Full time
At AVK we're looking for a Data Engineer to join our Business Operations team. In this role, you'll be responsible for designing, building, and maintaining AVK's end to end data infrastructure owning the full data lifecycle from source extraction through transformation to semantic modelling, enabling reliable, high quality data to power reporting, analytics, and decision making across the business. Key Responsibilities: Design, build, and maintain robust ETL and ELT pipelines. Develop logical and physical data models. Build and optimise semantic models and datasets designed for Power BI and downstream analytics and reporting. Integrate and structure data from core enterprise platforms including CRM, Finance, and Project Management systems. Act as the bridge between business and data. Work with stakeholders across Business Operations and wider teams to understand requirements, translate business problems into technical solutions, and communicate data concepts clearly to varying levels of data literacy. Develop efficient, scalable SQL and Python solutions. Optimise pipelines and data models for performance, reliability, and long term scalability. Implement validation, monitoring, and error handling frameworks to ensure high data quality, reliability, and organisational trust in data outputs. Requirements 2-3 years experience in data engineering Advanced proficiency in SQL and Python for data extraction, transformation, modelling, and pipeline orchestration. Proven experience delivering across the full data lifecycle from raw data extraction through transformation to semantic modelling for business intelligence. Strong understanding of how data should be structured and modelled to support performant dashboards, reporting, and analytics. Ability to clearly communicate complex technical concepts and translate business needs into effective data solutions. Comfortable operating in a fast moving, cross functional environment with evolving data maturity. Benefits Competitive salary and benefits package Flexible / hybrid working options Ongoing training and career development Supportive, collaborative team environment Health Care Bonus Scheme
Senior Data Scientist / Product Analyst II - Engineering Platform Location: London, UK (Hybrid) The Mission Behind every global streaming giant is a massive engine of internal tools and infrastructure. We are looking for a data expert to join our Platform Insights team. Your "customers" aren't the end listeners-they are the hundreds of world-class engineers building the applications used by millions. Your goal is to optimize the developer experience, ensuring our internal systems are fast, stable, and scalable. What You'll Do Drive Product Strategy: Partner with Product Managers and Engineers to define what "success" looks like for internal developer tools and cloud infrastructure. Full-Stack Analytics: Define key metrics, build robust datasets, and create high-impact dashboards (SQL/Python). Exploratory Research: Deep-dive into technical logs and user behavior to identify friction in the software development lifecycle. Influence Change: Communicate technical insights to senior stakeholders to prioritize high-value infrastructure investments. Who You Are The Technical Analyst: You have 5+ years of experience in a quantitative role, with mastery of SQL and Python/R . Domain Enthusiast: You have a genuine interest in how software is built-familiarity with CI/CD, Cloud Infrastructure (GCP/AWS), or Software Architecture is a major plus. Bridge Builder: You can translate "complex system data" into clear, actionable business recommendations. Quantitative Background: Degree in Computer Science, Stats, Math, Economics, or a related field. Why This Role? This isn't a standard marketing analytics role. You will be at the heart of technical innovation, helping one of the world's most admired tech companies scale to a billion users by empowering the people who build it. Please apply here or share your updated CV to (url removed) Randstad Technologies is acting as an Employment Business in relation to this vacancy.
14/04/2026
Contractor
Senior Data Scientist / Product Analyst II - Engineering Platform Location: London, UK (Hybrid) The Mission Behind every global streaming giant is a massive engine of internal tools and infrastructure. We are looking for a data expert to join our Platform Insights team. Your "customers" aren't the end listeners-they are the hundreds of world-class engineers building the applications used by millions. Your goal is to optimize the developer experience, ensuring our internal systems are fast, stable, and scalable. What You'll Do Drive Product Strategy: Partner with Product Managers and Engineers to define what "success" looks like for internal developer tools and cloud infrastructure. Full-Stack Analytics: Define key metrics, build robust datasets, and create high-impact dashboards (SQL/Python). Exploratory Research: Deep-dive into technical logs and user behavior to identify friction in the software development lifecycle. Influence Change: Communicate technical insights to senior stakeholders to prioritize high-value infrastructure investments. Who You Are The Technical Analyst: You have 5+ years of experience in a quantitative role, with mastery of SQL and Python/R . Domain Enthusiast: You have a genuine interest in how software is built-familiarity with CI/CD, Cloud Infrastructure (GCP/AWS), or Software Architecture is a major plus. Bridge Builder: You can translate "complex system data" into clear, actionable business recommendations. Quantitative Background: Degree in Computer Science, Stats, Math, Economics, or a related field. Why This Role? This isn't a standard marketing analytics role. You will be at the heart of technical innovation, helping one of the world's most admired tech companies scale to a billion users by empowering the people who build it. Please apply here or share your updated CV to (url removed) Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Senior Back-End Engineer Remote / UK Up to £70k per annum Summary: We are looking for a Senior Backend Engineer to join a company that enables brands to gather, analyse, and act on customer feedback at scale. You ll build scalable APIs, integrate AI and third-party tools, and help shape the platform s architecture. This is a hands-on role where your work will directly impact how global brands understand and engage with their customers. The role is primarily remote, but candidates must be UK-based and able to attend the Midland office occasionally. What You ll Be Doing: Build and maintain backend APIs for new platform products and features Design standalone systems with clean separation from legacy infrastructure Integrate third-party services, AI/LLM tools, video infrastructure, and analytics platforms Support AI-powered features including LLM-based data processing and automated workflows Collaborate directly with product and UX teams, including attending user interviews to understand real customer needs Make architecture and technical decisions, taking ownership of the solutions you build Requirements: Significant experience in backend API development (REST / JSON-RPC) Strong database design and architecture knowledge (SQL and/or NoSQL) Experience integrating third-party services, cloud platforms (AWS, GCP), or other APIs Comfortable collaborating with product and UX teams to deliver features end-to-end Ability to take ownership of technical decisions and work in a fast-paced environment Beneficial / Nice-to-Have Skills: Exposure to AI / LLM integrations or AI-powered features Familiarity with modern agentic engineering tools (e.g., Claude Code, Copilot) Experience with video platforms or analytics systems Benefits: Competitive salary (up to £70K) and stock options Flexible remote working Recognition for ownership and delivery Fast-moving, innovative, collaborative culture Interested in this role? If so, please apply now to
14/04/2026
Full time
Senior Back-End Engineer Remote / UK Up to £70k per annum Summary: We are looking for a Senior Backend Engineer to join a company that enables brands to gather, analyse, and act on customer feedback at scale. You ll build scalable APIs, integrate AI and third-party tools, and help shape the platform s architecture. This is a hands-on role where your work will directly impact how global brands understand and engage with their customers. The role is primarily remote, but candidates must be UK-based and able to attend the Midland office occasionally. What You ll Be Doing: Build and maintain backend APIs for new platform products and features Design standalone systems with clean separation from legacy infrastructure Integrate third-party services, AI/LLM tools, video infrastructure, and analytics platforms Support AI-powered features including LLM-based data processing and automated workflows Collaborate directly with product and UX teams, including attending user interviews to understand real customer needs Make architecture and technical decisions, taking ownership of the solutions you build Requirements: Significant experience in backend API development (REST / JSON-RPC) Strong database design and architecture knowledge (SQL and/or NoSQL) Experience integrating third-party services, cloud platforms (AWS, GCP), or other APIs Comfortable collaborating with product and UX teams to deliver features end-to-end Ability to take ownership of technical decisions and work in a fast-paced environment Beneficial / Nice-to-Have Skills: Exposure to AI / LLM integrations or AI-powered features Familiarity with modern agentic engineering tools (e.g., Claude Code, Copilot) Experience with video platforms or analytics systems Benefits: Competitive salary (up to £70K) and stock options Flexible remote working Recognition for ownership and delivery Fast-moving, innovative, collaborative culture Interested in this role? If so, please apply now to
Analytics Engineer Salary: 95,000 - 105,000 Location: London At Data Idols, we are working with a forward-thinking technology business building advanced data and AI platforms that combine traditional analytics with next-generation AI-driven intelligence. This is a high-growth environment where data is central to product innovation. The business is now looking for a Lead Analytics Engineer to take ownership of its data architecture and analytics capabilities as it continues to scale. The Opportunity This is a senior, high-impact role where you will design and deliver a unified analytics layer that supports both traditional reporting and AI-powered insight generation. You will be responsible for building scalable data models, enabling advanced analytics, and integrating AI capabilities such as semantic search and natural language querying. Working closely with product, data, and engineering teams, you will play a key role in shaping how data is structured, transformed, and consumed across the platform. This role suits someone who enjoys working at the intersection of analytics engineering, data architecture, and AI, and is comfortable building production-ready data systems in a fast-moving environment. Skills and experience Experience designing and building ETL pipelines Strong understanding of data modelling, schema design, and data structures Strong SQL skills and experience Experience with data pipeline orchestration tools Exposure to LLMs or AI-driven analytics workflows Proven experience building scalable data models and systems end-to-end If you are looking for a new challenge and want to work on cutting-edge data and AI platforms, please submit your CV for initial screening and further details. Analytics Engineer
14/04/2026
Full time
Analytics Engineer Salary: 95,000 - 105,000 Location: London At Data Idols, we are working with a forward-thinking technology business building advanced data and AI platforms that combine traditional analytics with next-generation AI-driven intelligence. This is a high-growth environment where data is central to product innovation. The business is now looking for a Lead Analytics Engineer to take ownership of its data architecture and analytics capabilities as it continues to scale. The Opportunity This is a senior, high-impact role where you will design and deliver a unified analytics layer that supports both traditional reporting and AI-powered insight generation. You will be responsible for building scalable data models, enabling advanced analytics, and integrating AI capabilities such as semantic search and natural language querying. Working closely with product, data, and engineering teams, you will play a key role in shaping how data is structured, transformed, and consumed across the platform. This role suits someone who enjoys working at the intersection of analytics engineering, data architecture, and AI, and is comfortable building production-ready data systems in a fast-moving environment. Skills and experience Experience designing and building ETL pipelines Strong understanding of data modelling, schema design, and data structures Strong SQL skills and experience Experience with data pipeline orchestration tools Exposure to LLMs or AI-driven analytics workflows Proven experience building scalable data models and systems end-to-end If you are looking for a new challenge and want to work on cutting-edge data and AI platforms, please submit your CV for initial screening and further details. Analytics Engineer
Role: Data Scientist Type: Contracts (6 Months) Location: London, UK (REMOTE) Working Model: Fully Remote Payrate: (Apply online only) GBP/day on PAYE (Apply online only) GBP/day on RUPAYE (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: Join our team to drive data quality and empower cross-functional decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption . What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau . Champion data quality , implement CI/CD for dbt models, and mentor junior team members. What You Bring: 5+ years of experience in analytics or data engineering, with deep expertise in SQL. Extensive experience with dbt, a cloud data warehouse , and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte). Proficiency in Python for data analysis and automation. Bonus: Experience with experimentation, ML/AI metrics, or platform productivity . This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
13/04/2026
Contractor
Role: Data Scientist Type: Contracts (6 Months) Location: London, UK (REMOTE) Working Model: Fully Remote Payrate: (Apply online only) GBP/day on PAYE (Apply online only) GBP/day on RUPAYE (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: Join our team to drive data quality and empower cross-functional decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption . What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau . Champion data quality , implement CI/CD for dbt models, and mentor junior team members. What You Bring: 5+ years of experience in analytics or data engineering, with deep expertise in SQL. Extensive experience with dbt, a cloud data warehouse , and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte). Proficiency in Python for data analysis and automation. Bonus: Experience with experimentation, ML/AI metrics, or platform productivity . This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Age UK is recruiting for a Cloud Infrastructure Engineer with significant DevOps, Scripting and Azure experience to design, automate, and optimise our cloud-based infrastructure on a permanent basis. You'll build modern Azure solutions, automate processes using PowerShell, C#, Azure DevOps, Git, Bicep and ensure our cloud environment is secure, scalable, and efficient. You'll manage and enhance key platforms including Azure, Microsoft 365, Active Directory, and Microsoft Entra, while overseeing monitoring, performance, and lifecycle management. You'll also strengthen security through proactive vulnerability management, automated remediation and robust backup strategies, supported by strong networking knowledge. This collaborative role involves working closely with teams across the business, supporting day-to-day operations, and maintaining clear technical documentation. If you're passionate about cloud engineering and automation, this is a great opportunity to make a real impact. This is a hybrid opportunity, a blend of homebased and office working. Our linked office for this role is in London (near Tower Hill). You will be expected to attend the office once a fortnight. Travel costs to the London office are not covered by the charity. Age UK internal grade - 5LT Closing date for applications 20th April, 2026. Must haves: The below competencies will be assessed at the indicated stage of the recruitment process: Application = A, Interview = I, Test = T, Presentation = P Experience Azure DevOps experience including pipeline creation, management, optimization, and release. (A, I) Infrastructure as Code experience deploying and managing Azure infrastructure programmatically through automation (Bicep, Terraform, or ARM templates). (A, I) In-depth experience with Microsoft Azure, with emphasis on automation and scripting. (A, I) Proven experience deploying and managing IaaS and PaaS workloads on Microsoft Azure. (I) Experience in effectively addressing vulnerabilities. (I) Skills and knowledge Advanced scripting skills (preferably PowerShell and C#) with demonstrated ability to build complex automation solutions. (A, I) Ability to architect and implement solutions across the Azure platform (App Services, Functions, Storage, Networking, Virtual Machines, etc.) (A, I) Demonstrated ability to work autonomously and make independent decisions, as well as effectively collaborate with cross-functional teams. (I) Proficiency with Git source control and workflows. (I) Understanding of IaaS/PaaS/SaaS approaches to infrastructure and their trade-offs. (I) Understanding of IT security principles. (I) Understanding of common networking concepts and protocols. (I) Personal attributes Strong communication skills, verbal and written. (I) Great to haves: The below competencies will be assessed at the indicated stage of the recruitment process: Application = A, Interview = I, Test = T, Presentation = P Experience Experience with container technologies (Docker, Azure Container Instances, Azure Kubernetes Service) (I) Linux management experience (I) Familiarity with monitoring and observability tools (Application Insights, Log Analytics, Azure Monitor). (I) Skills and knowledge Understanding of the product lifecycle, from inception to decommissioning. (I) C# development skills for custom tooling, Azure Functions, and automation utilities. (I) Personal attributes Relevant Microsoft Azure certifications (AZ-104, AZ-305, or AZ-400). (I) What we offer in return Competitive salary, 26 days annual leave + bank holidays + annual leave purchase scheme Excellent pension scheme, life assurance, Health cashback plan and EAP Car Benefit Scheme, Cycle to Work Scheme and Season Ticket Loan Techscheme - buy any tech from Apple or Currys, up to £1000, and spread the cost over 12 months, interest free Blue Light Card Scheme You Did It Awards - recognition awards from £100-250 Many additional benefits Additional Information Supporting statements and anonymisation Candidates are expected to provide a supporting statement that explains how they meet the competencies annotated with an 'A' in the job description, to assess suitability for the position. Age UK acknowledges and accepts that AI may be used to support the application; we do expect candidates to personalise experience, knowledge and skills and failure to do so, may result in your application being rejected. Please submit a Word version of your CV as it will be anonymised by our recruitment system when you apply for a role. Our system is unable to anonymise supporting statements and heavily formatted CVs. Please could you remove any personal information including your name before you upload to support our inclusive recruitment process. All equalities monitoring information is also anonymised and not shared with the hiring panel. Your name and address will only be known to us if invited for interview. Equal opportunities & Disability Confident Scheme Age UK is an Equal Opportunities employer and positively encourages applications from suitably qualified and eligible candidates, regardless of age, sex, race, disability, sexual orientation, gender reassignment, religion or belief, marital/civil partnership status, or pregnancy and maternity. Age UK is a Disability Confident Scheme employer. Due to high numbers of applications received, Age UK reserves the right to limit the overall number of interviews offered, and therefore, it may not always be practicable or appropriate to interview all disabled people that meet the minimum criteria for the job. Reasonable adjustments Disabled job seekers can access reasonable adjustments at any stage of the recruitment process. All requests for reasonable adjustments are considered on a case-by-case basis, in collaboration with the disabled job seeker to best meet their needs, by contacting the Recruitment Team. Disability disclosures will be kept confidential and only shared on a need-to-know basis to support the implementation of adjustments. Disclosures will not be used to inform hiring decisions. Age UK is committed to safeguarding adults at risk, and children, from abuse and neglect. We expect everyone who works with us to share this commitment. Early application is encouraged as we will review applications throughout the advertising period and reserve the right to close the advert at any time. Age UK politely requests no contact from recruitment agencies or media sales. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them. For a full list of benefits please visit our website.
13/04/2026
Full time
Age UK is recruiting for a Cloud Infrastructure Engineer with significant DevOps, Scripting and Azure experience to design, automate, and optimise our cloud-based infrastructure on a permanent basis. You'll build modern Azure solutions, automate processes using PowerShell, C#, Azure DevOps, Git, Bicep and ensure our cloud environment is secure, scalable, and efficient. You'll manage and enhance key platforms including Azure, Microsoft 365, Active Directory, and Microsoft Entra, while overseeing monitoring, performance, and lifecycle management. You'll also strengthen security through proactive vulnerability management, automated remediation and robust backup strategies, supported by strong networking knowledge. This collaborative role involves working closely with teams across the business, supporting day-to-day operations, and maintaining clear technical documentation. If you're passionate about cloud engineering and automation, this is a great opportunity to make a real impact. This is a hybrid opportunity, a blend of homebased and office working. Our linked office for this role is in London (near Tower Hill). You will be expected to attend the office once a fortnight. Travel costs to the London office are not covered by the charity. Age UK internal grade - 5LT Closing date for applications 20th April, 2026. Must haves: The below competencies will be assessed at the indicated stage of the recruitment process: Application = A, Interview = I, Test = T, Presentation = P Experience Azure DevOps experience including pipeline creation, management, optimization, and release. (A, I) Infrastructure as Code experience deploying and managing Azure infrastructure programmatically through automation (Bicep, Terraform, or ARM templates). (A, I) In-depth experience with Microsoft Azure, with emphasis on automation and scripting. (A, I) Proven experience deploying and managing IaaS and PaaS workloads on Microsoft Azure. (I) Experience in effectively addressing vulnerabilities. (I) Skills and knowledge Advanced scripting skills (preferably PowerShell and C#) with demonstrated ability to build complex automation solutions. (A, I) Ability to architect and implement solutions across the Azure platform (App Services, Functions, Storage, Networking, Virtual Machines, etc.) (A, I) Demonstrated ability to work autonomously and make independent decisions, as well as effectively collaborate with cross-functional teams. (I) Proficiency with Git source control and workflows. (I) Understanding of IaaS/PaaS/SaaS approaches to infrastructure and their trade-offs. (I) Understanding of IT security principles. (I) Understanding of common networking concepts and protocols. (I) Personal attributes Strong communication skills, verbal and written. (I) Great to haves: The below competencies will be assessed at the indicated stage of the recruitment process: Application = A, Interview = I, Test = T, Presentation = P Experience Experience with container technologies (Docker, Azure Container Instances, Azure Kubernetes Service) (I) Linux management experience (I) Familiarity with monitoring and observability tools (Application Insights, Log Analytics, Azure Monitor). (I) Skills and knowledge Understanding of the product lifecycle, from inception to decommissioning. (I) C# development skills for custom tooling, Azure Functions, and automation utilities. (I) Personal attributes Relevant Microsoft Azure certifications (AZ-104, AZ-305, or AZ-400). (I) What we offer in return Competitive salary, 26 days annual leave + bank holidays + annual leave purchase scheme Excellent pension scheme, life assurance, Health cashback plan and EAP Car Benefit Scheme, Cycle to Work Scheme and Season Ticket Loan Techscheme - buy any tech from Apple or Currys, up to £1000, and spread the cost over 12 months, interest free Blue Light Card Scheme You Did It Awards - recognition awards from £100-250 Many additional benefits Additional Information Supporting statements and anonymisation Candidates are expected to provide a supporting statement that explains how they meet the competencies annotated with an 'A' in the job description, to assess suitability for the position. Age UK acknowledges and accepts that AI may be used to support the application; we do expect candidates to personalise experience, knowledge and skills and failure to do so, may result in your application being rejected. Please submit a Word version of your CV as it will be anonymised by our recruitment system when you apply for a role. Our system is unable to anonymise supporting statements and heavily formatted CVs. Please could you remove any personal information including your name before you upload to support our inclusive recruitment process. All equalities monitoring information is also anonymised and not shared with the hiring panel. Your name and address will only be known to us if invited for interview. Equal opportunities & Disability Confident Scheme Age UK is an Equal Opportunities employer and positively encourages applications from suitably qualified and eligible candidates, regardless of age, sex, race, disability, sexual orientation, gender reassignment, religion or belief, marital/civil partnership status, or pregnancy and maternity. Age UK is a Disability Confident Scheme employer. Due to high numbers of applications received, Age UK reserves the right to limit the overall number of interviews offered, and therefore, it may not always be practicable or appropriate to interview all disabled people that meet the minimum criteria for the job. Reasonable adjustments Disabled job seekers can access reasonable adjustments at any stage of the recruitment process. All requests for reasonable adjustments are considered on a case-by-case basis, in collaboration with the disabled job seeker to best meet their needs, by contacting the Recruitment Team. Disability disclosures will be kept confidential and only shared on a need-to-know basis to support the implementation of adjustments. Disclosures will not be used to inform hiring decisions. Age UK is committed to safeguarding adults at risk, and children, from abuse and neglect. We expect everyone who works with us to share this commitment. Early application is encouraged as we will review applications throughout the advertising period and reserve the right to close the advert at any time. Age UK politely requests no contact from recruitment agencies or media sales. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them. For a full list of benefits please visit our website.
Head of Cloud Engineering - Capital Markets Permanent, 3 days in office in London Role Summary The Head of Cloud Engineering, Capital Markets is accountable for the strategy, design, build, governance, and operation of Capital Markets cloud platforms across AWS, Azure, and GCP. This role owns the end-to-end cloud platform life cycle -from reference architecture and guardrails, through secure delivery and operations-ensuring platforms meet regulatory, cyber, resiliency, and low-latency trading requirements . This leader operates at the intersection of engineering depth, governance rigor, and executive accountability , and builds a high-performing cloud engineering organization capable of operating in a regulated Capital Markets environment . Key Accountabilities 1. Cloud Platform Ownership & Architecture Own the target-state architecture for Capital Markets cloud platforms (AWS, Azure, GCP), including landing zones, connectivity, identity, security, and shared services Define and maintain reference architectures and approved patterns for trading, analytics, and client-facing 2. Governance, Risk & Audit Accountability Act as the accountable executive for cloud governance across Capital Markets environments Own intake, disclosure, and ongoing engagement with the Cloud Governance Committee (CGC) 3. Security, Resiliency & Control Integration Embed security-by-design across all cloud platforms, integrating enterprise tooling (eg, Wiz, Qualys, CrowdStrike, logging, IAM) Ensure consistent vulnerability, configuration, and identity life cycle management across all environments Ensure platforms meet criticality and resiliency expectations for Capital Markets workloads 4. Platform Engineering & Operations Build and operate a cloud platform engineering model that abstracts complexity from application teams Own day-to-day operational reliability , incident response, and root cause remediation for cloud platforms 5. Team Build & Technical Leadership Build, scale, and lead a dedicated Capital Markets Cloud Engineering organization Provide hands-on technical leadership 6. Stakeholder & Executive Engagement Serve as the primary interface between Capital Markets, Enterprise Cloud, Cyber Security, Risk, Audit, and Architecture Required Experience & Capabilities Senior leadership experience owning cloud platforms in regulated financial services environments Deep hands-on expertise across AWS , with working knowledge of Azure and GCP in enterprise contexts Proven experience addressing cloud governance, audit, and risk findings (CGC, GRCE, SRM, MCP or equivalent) Strong background in platform engineering, IaC, policy-as-code, and automation Experience supporting low-latency, high-availability, mission-critical workloads Ability to operate credibly with executives, auditors, and engineering teams alike Experience in Capital Markets
13/04/2026
Full time
Head of Cloud Engineering - Capital Markets Permanent, 3 days in office in London Role Summary The Head of Cloud Engineering, Capital Markets is accountable for the strategy, design, build, governance, and operation of Capital Markets cloud platforms across AWS, Azure, and GCP. This role owns the end-to-end cloud platform life cycle -from reference architecture and guardrails, through secure delivery and operations-ensuring platforms meet regulatory, cyber, resiliency, and low-latency trading requirements . This leader operates at the intersection of engineering depth, governance rigor, and executive accountability , and builds a high-performing cloud engineering organization capable of operating in a regulated Capital Markets environment . Key Accountabilities 1. Cloud Platform Ownership & Architecture Own the target-state architecture for Capital Markets cloud platforms (AWS, Azure, GCP), including landing zones, connectivity, identity, security, and shared services Define and maintain reference architectures and approved patterns for trading, analytics, and client-facing 2. Governance, Risk & Audit Accountability Act as the accountable executive for cloud governance across Capital Markets environments Own intake, disclosure, and ongoing engagement with the Cloud Governance Committee (CGC) 3. Security, Resiliency & Control Integration Embed security-by-design across all cloud platforms, integrating enterprise tooling (eg, Wiz, Qualys, CrowdStrike, logging, IAM) Ensure consistent vulnerability, configuration, and identity life cycle management across all environments Ensure platforms meet criticality and resiliency expectations for Capital Markets workloads 4. Platform Engineering & Operations Build and operate a cloud platform engineering model that abstracts complexity from application teams Own day-to-day operational reliability , incident response, and root cause remediation for cloud platforms 5. Team Build & Technical Leadership Build, scale, and lead a dedicated Capital Markets Cloud Engineering organization Provide hands-on technical leadership 6. Stakeholder & Executive Engagement Serve as the primary interface between Capital Markets, Enterprise Cloud, Cyber Security, Risk, Audit, and Architecture Required Experience & Capabilities Senior leadership experience owning cloud platforms in regulated financial services environments Deep hands-on expertise across AWS , with working knowledge of Azure and GCP in enterprise contexts Proven experience addressing cloud governance, audit, and risk findings (CGC, GRCE, SRM, MCP or equivalent) Strong background in platform engineering, IaC, policy-as-code, and automation Experience supporting low-latency, high-availability, mission-critical workloads Ability to operate credibly with executives, auditors, and engineering teams alike Experience in Capital Markets
Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services , including trading platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment. Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security. Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs. Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services. Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems. Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability. Stay updated with new tools, technologies, and industry trends in cloud computing, containerization, and financial systems to continuously improve development practices and outcomes. Ideal Skills: Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics. Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation). Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios. Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment. Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance monitoring and observability tools such as CloudWatch, Prometheus, or Datadog. Interested? Please Apply! Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform
13/04/2026
Full time
Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services , including trading platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment. Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security. Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs. Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services. Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems. Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability. Stay updated with new tools, technologies, and industry trends in cloud computing, containerization, and financial systems to continuously improve development practices and outcomes. Ideal Skills: Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics. Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation). Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios. Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment. Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance monitoring and observability tools such as CloudWatch, Prometheus, or Datadog. Interested? Please Apply! Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform
Harnham - Data & Analytics Recruitment
Manchester, Lancashire
Data Engineer up to £90,000 + Benefits Manchester (Hybrid) This is a great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real-time behavioural analytics to help brands optimise performance. THE ROLE Key responsibilities include: Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources Working on greenfield projects while scaling existing data infrastructure to billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
13/04/2026
Full time
Data Engineer up to £90,000 + Benefits Manchester (Hybrid) This is a great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real-time behavioural analytics to help brands optimise performance. THE ROLE Key responsibilities include: Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources Working on greenfield projects while scaling existing data infrastructure to billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Job Title: Data Scientist (Cyber Security Focus) Location: Hybrid/2 days a week in London Contract: Permanent Salary: £110,000 + benefits About the Role We are looking for a talented Data Scientist with strong cyber security expertise to join our growing team. This role sits at the intersection of data science, threat intelligence, and cyber defence, using advanced analytics and machine learning to identify, predict, and mitigate cyber risks. You will work closely with cyber security, engineering, and risk teams to turn complex data into actionable insights that strengthen our security posture and support informed decision-making. Key Responsibilities Design, develop and deploy data science models to detect, analyse, and predict cyber threats. Apply machine learning and statistical techniques to large, complex security datasets (eg logs, alerts, network traffic). Support threat detection, anomaly detection, and incident response through advanced analytics. Work with cyber security specialists to improve monitoring, controls, and threat intelligence capabilities. Communicate technical findings clearly to both technical and non-technical stakeholders. Continuously evaluate emerging threats, tools, and techniques within cyber security and data science. Essential Skills & Experience Strong experience as a Data Scientist or in a similar analytical role. Solid knowledge of cyber security concepts , such as: Threat detection and incident response Network and application security Vulnerability management Security logging and monitoring (eg SIEM data) Proficiency in Python (or similar) for data analysis and machine learning. Experience working with large datasets, including unstructured or semi-structured security data. Strong understanding of statistics, machine learning, and model evaluation. Ability to translate complex technical analysis into clear, actionable insights. Desirable (but Not Essential) Experience with cloud security (AWS, Azure, or GCP). Familiarity with security tools such as SIEM, EDR, IDS/IPS, or SOAR platforms. Knowledge of data engineering tools (eg SQL, Spark, data pipelines). Relevant certifications (eg CISSP, CISM, CEH, AWS/Azure security certs).
13/04/2026
Full time
Job Title: Data Scientist (Cyber Security Focus) Location: Hybrid/2 days a week in London Contract: Permanent Salary: £110,000 + benefits About the Role We are looking for a talented Data Scientist with strong cyber security expertise to join our growing team. This role sits at the intersection of data science, threat intelligence, and cyber defence, using advanced analytics and machine learning to identify, predict, and mitigate cyber risks. You will work closely with cyber security, engineering, and risk teams to turn complex data into actionable insights that strengthen our security posture and support informed decision-making. Key Responsibilities Design, develop and deploy data science models to detect, analyse, and predict cyber threats. Apply machine learning and statistical techniques to large, complex security datasets (eg logs, alerts, network traffic). Support threat detection, anomaly detection, and incident response through advanced analytics. Work with cyber security specialists to improve monitoring, controls, and threat intelligence capabilities. Communicate technical findings clearly to both technical and non-technical stakeholders. Continuously evaluate emerging threats, tools, and techniques within cyber security and data science. Essential Skills & Experience Strong experience as a Data Scientist or in a similar analytical role. Solid knowledge of cyber security concepts , such as: Threat detection and incident response Network and application security Vulnerability management Security logging and monitoring (eg SIEM data) Proficiency in Python (or similar) for data analysis and machine learning. Experience working with large datasets, including unstructured or semi-structured security data. Strong understanding of statistics, machine learning, and model evaluation. Ability to translate complex technical analysis into clear, actionable insights. Desirable (but Not Essential) Experience with cloud security (AWS, Azure, or GCP). Familiarity with security tools such as SIEM, EDR, IDS/IPS, or SOAR platforms. Knowledge of data engineering tools (eg SQL, Spark, data pipelines). Relevant certifications (eg CISSP, CISM, CEH, AWS/Azure security certs).
Data Engineer - West Yorkshire (Hybrid) Harvey Nash has partnered with a market-leading client of ours based in West Yorkshire to recruit an experienced Data Engineer . This role sits within the data team and will play a key part in designing, building, and optimising Azure-based data platforms , enabling the business to make data-driven decisions at scale. You'll work closely with analysts, data scientists, and engineering teams to deliver secure, high-performance, and scalable data solutions. Key Responsibilities Design, develop, and maintain enterprise-level Azure data warehouses , supporting business-critical reporting and analytics. Build and optimise ETL/ELT data pipelines using tools such as Azure Data Factory, Databricks, and Azure Synapse . Integrate data from multiple sources including internal systems, third-party platforms, and APIs, ensuring data quality and consistency. Monitor and optimise performance, scalability, and cost efficiency across Azure data solutions. Collaborate with data analysts, data scientists, and wider stakeholders to understand requirements and deliver reliable, high-quality data. Implement best practices around data security, governance, and compliance . Develop automation scripts and workflows to streamline data ingestion and transformation processes. Maintain clear technical documentation covering data architectures, pipelines, and processes. About You Hands-on experience with Azure data services , including Azure Data Factory, Databricks, Azure Synapse, and Azure SQL. Good understanding of data warehouse design , including star schema and dimensional modelling. Experience working with Azure Data Lake / Blob Storage and cloud-native data architectures. Strong proficiency in SQL , with experience designing and optimising data models and queries. Proficient in Python, PowerShell, or similar scripting languages for automation. Familiarity with CI/CD practices for data pipelines. Strong problem-solving skills with the ability to troubleshoot performance and data issues. Any experience with Azure cost optimisation, FinOps, or data governance would be beneficial. Data Engineer - West Yorkshire (Hybrid)
12/04/2026
Full time
Data Engineer - West Yorkshire (Hybrid) Harvey Nash has partnered with a market-leading client of ours based in West Yorkshire to recruit an experienced Data Engineer . This role sits within the data team and will play a key part in designing, building, and optimising Azure-based data platforms , enabling the business to make data-driven decisions at scale. You'll work closely with analysts, data scientists, and engineering teams to deliver secure, high-performance, and scalable data solutions. Key Responsibilities Design, develop, and maintain enterprise-level Azure data warehouses , supporting business-critical reporting and analytics. Build and optimise ETL/ELT data pipelines using tools such as Azure Data Factory, Databricks, and Azure Synapse . Integrate data from multiple sources including internal systems, third-party platforms, and APIs, ensuring data quality and consistency. Monitor and optimise performance, scalability, and cost efficiency across Azure data solutions. Collaborate with data analysts, data scientists, and wider stakeholders to understand requirements and deliver reliable, high-quality data. Implement best practices around data security, governance, and compliance . Develop automation scripts and workflows to streamline data ingestion and transformation processes. Maintain clear technical documentation covering data architectures, pipelines, and processes. About You Hands-on experience with Azure data services , including Azure Data Factory, Databricks, Azure Synapse, and Azure SQL. Good understanding of data warehouse design , including star schema and dimensional modelling. Experience working with Azure Data Lake / Blob Storage and cloud-native data architectures. Strong proficiency in SQL , with experience designing and optimising data models and queries. Proficient in Python, PowerShell, or similar scripting languages for automation. Familiarity with CI/CD practices for data pipelines. Strong problem-solving skills with the ability to troubleshoot performance and data issues. Any experience with Azure cost optimisation, FinOps, or data governance would be beneficial. Data Engineer - West Yorkshire (Hybrid)
Data & Insights Manager £60,000 £65,000 Hybrid - Bridgwater, Somerset 3 days/week This is a rare opportunity to step into a leadership role at the intersection of data strategy and real-world impact. You ll shape how an organisation thinks, decides, and grows - turning complex data into clear direction for executive and board-level stakeholders. Reporting into the Head of IT, you ll lead the Data & Insights function - owning the strategy, the team, and the output. You ll partner closely with Finance, Operations, Marketing, HR, and the Executive Leadership Team to embed a data-driven culture across the organisation. This isn t a hands-off management role. You ll bring hypothesis-led thinking to executive conversations, challenge the technology that moves data around the business, and recommend what comes next - with the authority and experience to deliver it. What you ll be doing: Strategy & leadership • Define and drive an enterprise-wide analytics strategy that aligns with business objectives. • Establish and own Data Governance principles - quality, security, and compliance. • Champion a culture of data-driven decision-making at executive and board level. Insight & storytelling • Convert commercial insight into clear trading, product, and sales recommendations. • Bring a hypothesis-led narrative to board-level conversations, backed by analysis that is thoughtful and actionable. • Evolve the model that tracks the full value of marketing channels and programmatic strategies. Technology & platforms • Continuously evolve the data infrastructure - challenging how data is harvested and distributed across the business. • Lead on Power BI, Data Lakes, Lakehouse and Machine Learning capabilities. • Stay ahead of emerging tools and technologies - and have the experience to deliver your recommendations. People & culture • Lead, develop, and mentor a team of Data Analysts and Engineers. • Empower your team to operate independently - you should never be the single point of failure. • Build self-serve insight capability across Finance, Operations, Marketing, and HR. What we re looking for: Essential • Demonstrable senior experience in data analytics or insights leadership, with a track record of building and developing high-performing teams. • Significant proven experience developing, delivering, and embedding a clear enterprise-wide analytics and insights strategy that aligns with business objectives. • Expert-level knowledge of BI and data visualisation platforms - Power BI, Tableau, Looker, or Qlik - including dashboard design, performance optimisation, and modelling best practices. • Hands-on experience designing and implementing Power BI datasets, dashboards, and paginated reports. • Proven track record delivering ETL pipelines, data warehousing, and modern visualisation platforms end-to-end. • Strong commercial acumen - the ability to translate data into decisions that drive growth, not just reports. • Exceptional communicator and influencer at all levels, from data engineers to board members. Desirable • A degree in Data Science, Business Analytics, Computer Science, Statistics, or a related field. • Certifications such as CBIP or Microsoft Certified Power BI Data Analyst Associate are a bonus - but not a dealbreaker if your experience speaks for itself. The kind of person who ll thrive here: You follow through. You don t miss your own deadlines. You push for clarity when things are vague and for progress when things stall. You know how to get the most from a team without becoming their bottleneck - and you care about the quality of the work as much as the pace of it. You re energetic, self-motivated, and comfortable operating at pace across multiple priorities.
10/04/2026
Full time
Data & Insights Manager £60,000 £65,000 Hybrid - Bridgwater, Somerset 3 days/week This is a rare opportunity to step into a leadership role at the intersection of data strategy and real-world impact. You ll shape how an organisation thinks, decides, and grows - turning complex data into clear direction for executive and board-level stakeholders. Reporting into the Head of IT, you ll lead the Data & Insights function - owning the strategy, the team, and the output. You ll partner closely with Finance, Operations, Marketing, HR, and the Executive Leadership Team to embed a data-driven culture across the organisation. This isn t a hands-off management role. You ll bring hypothesis-led thinking to executive conversations, challenge the technology that moves data around the business, and recommend what comes next - with the authority and experience to deliver it. What you ll be doing: Strategy & leadership • Define and drive an enterprise-wide analytics strategy that aligns with business objectives. • Establish and own Data Governance principles - quality, security, and compliance. • Champion a culture of data-driven decision-making at executive and board level. Insight & storytelling • Convert commercial insight into clear trading, product, and sales recommendations. • Bring a hypothesis-led narrative to board-level conversations, backed by analysis that is thoughtful and actionable. • Evolve the model that tracks the full value of marketing channels and programmatic strategies. Technology & platforms • Continuously evolve the data infrastructure - challenging how data is harvested and distributed across the business. • Lead on Power BI, Data Lakes, Lakehouse and Machine Learning capabilities. • Stay ahead of emerging tools and technologies - and have the experience to deliver your recommendations. People & culture • Lead, develop, and mentor a team of Data Analysts and Engineers. • Empower your team to operate independently - you should never be the single point of failure. • Build self-serve insight capability across Finance, Operations, Marketing, and HR. What we re looking for: Essential • Demonstrable senior experience in data analytics or insights leadership, with a track record of building and developing high-performing teams. • Significant proven experience developing, delivering, and embedding a clear enterprise-wide analytics and insights strategy that aligns with business objectives. • Expert-level knowledge of BI and data visualisation platforms - Power BI, Tableau, Looker, or Qlik - including dashboard design, performance optimisation, and modelling best practices. • Hands-on experience designing and implementing Power BI datasets, dashboards, and paginated reports. • Proven track record delivering ETL pipelines, data warehousing, and modern visualisation platforms end-to-end. • Strong commercial acumen - the ability to translate data into decisions that drive growth, not just reports. • Exceptional communicator and influencer at all levels, from data engineers to board members. Desirable • A degree in Data Science, Business Analytics, Computer Science, Statistics, or a related field. • Certifications such as CBIP or Microsoft Certified Power BI Data Analyst Associate are a bonus - but not a dealbreaker if your experience speaks for itself. The kind of person who ll thrive here: You follow through. You don t miss your own deadlines. You push for clarity when things are vague and for progress when things stall. You know how to get the most from a team without becoming their bottleneck - and you care about the quality of the work as much as the pace of it. You re energetic, self-motivated, and comfortable operating at pace across multiple priorities.
Data Engineer - Celonis Location: United Kingdom (Fully remote - must live and be able to work in the UK) Job Type: Full-time Eligibility: Must have full right to work in the UK (no sponsorship available) I am very excited to offer an opportunity for a skilled Data Engineer with expertise in Celonis to join a well-established, international professional services organisation. This company is renowned for delivering data, analytics, and automation solutions to large, complex businesses, particularly in finance, operations, supply chain, and customer functions. As part of their UK delivery team, you will play a crucial role in supporting major transformation programmes through practical, hands-on data engineering. Day-to-day of the role: Design, develop, and maintain scalable data pipelines to feed Celonis from various source systems. Build, integrate, and optimise SQL Server-based data warehouse pipelines. Support migration initiatives towards a modern Microsoft Fabric architecture. Develop and maintain Celonis data models using Celonis Data Integration. Translate business and reporting requirements into technical data specifications. Write and optimise SQL and Celonis PQL queries to support dashboards and analysis. Develop Python scripts for data cleansing, transformation, and automation. Implement data quality checks and reconciliation processes across systems. Provide technical support to analysts and business users working with Celonis. Ensure adherence to data governance, security, and access control standards. Required Skills & Qualifications: Proven commercial hands-on experience with Celonis in a delivery environment. Strong experience with Celonis Data Integration and analysis development. Solid SQL skills (data transformation, optimisation, and performance tuning). Proficiency in Python for data engineering and automation tasks. Good understanding of ETL / ELT processes and data modelling. Experience working within Agile delivery teams. Strong analytical skills and meticulous attention to detail. Ability to engage effectively with both technical and non-technical stakeholders. Desirable Skills: Celonis Data Engineer certification. Experience with SQL Server and Microsoft Fabric. Experience integrating data from enterprise platforms (ERP, CRM, finance systems, etc.). Experience in a consulting or client-facing delivery role. Familiarity with cloud data platforms (Azure, AWS, or GCP). Benefits: Opportunity to work in a dynamic, international environment. Competitive salary+ bonus and benefits package. Professional development and career advancement opportunities. Flexible working arrangements (remote / hybrid). To apply for this Celonis Data Engineer position, please apply with an updated CV
10/04/2026
Full time
Data Engineer - Celonis Location: United Kingdom (Fully remote - must live and be able to work in the UK) Job Type: Full-time Eligibility: Must have full right to work in the UK (no sponsorship available) I am very excited to offer an opportunity for a skilled Data Engineer with expertise in Celonis to join a well-established, international professional services organisation. This company is renowned for delivering data, analytics, and automation solutions to large, complex businesses, particularly in finance, operations, supply chain, and customer functions. As part of their UK delivery team, you will play a crucial role in supporting major transformation programmes through practical, hands-on data engineering. Day-to-day of the role: Design, develop, and maintain scalable data pipelines to feed Celonis from various source systems. Build, integrate, and optimise SQL Server-based data warehouse pipelines. Support migration initiatives towards a modern Microsoft Fabric architecture. Develop and maintain Celonis data models using Celonis Data Integration. Translate business and reporting requirements into technical data specifications. Write and optimise SQL and Celonis PQL queries to support dashboards and analysis. Develop Python scripts for data cleansing, transformation, and automation. Implement data quality checks and reconciliation processes across systems. Provide technical support to analysts and business users working with Celonis. Ensure adherence to data governance, security, and access control standards. Required Skills & Qualifications: Proven commercial hands-on experience with Celonis in a delivery environment. Strong experience with Celonis Data Integration and analysis development. Solid SQL skills (data transformation, optimisation, and performance tuning). Proficiency in Python for data engineering and automation tasks. Good understanding of ETL / ELT processes and data modelling. Experience working within Agile delivery teams. Strong analytical skills and meticulous attention to detail. Ability to engage effectively with both technical and non-technical stakeholders. Desirable Skills: Celonis Data Engineer certification. Experience with SQL Server and Microsoft Fabric. Experience integrating data from enterprise platforms (ERP, CRM, finance systems, etc.). Experience in a consulting or client-facing delivery role. Familiarity with cloud data platforms (Azure, AWS, or GCP). Benefits: Opportunity to work in a dynamic, international environment. Competitive salary+ bonus and benefits package. Professional development and career advancement opportunities. Flexible working arrangements (remote / hybrid). To apply for this Celonis Data Engineer position, please apply with an updated CV
Our premium brand Automotive client is currently recruiting for the following role: SAP Business Analyst - 27.21/hr (Inside IR35) - Solihull (hybrid potential) - 12 Months (maternity cover) Duties: SAP Business Analysis work focuses on identifying and analysing business needs, conducting requirements gathering, and defining scope and objectives for SAP Enterprise Resource Planning (ERP) applications integrated with business processes/data and IT infrastructure (i.e., an application system) including: - Making recommendations for solutions or improvements to business processes that can be accomplished through SAP module(s) - Researching business requirements, developing detailed specifications, and validating the SAP solutions with business stakeholders - Communicating business stakeholder needs to the SAP development team by translating business requirements into SAP module requirements Responsibilities include: - Managing projects / processes, working independently with limited supervision. - Coaching and reviewing the work of lower level professionals. - Problems faced are difficult and sometimes complex. Typical Title: Skills: - Working knowledge and experience of S/4HANA Transport Management System (Inbound Order -based planning preferable including freight unit building, transportation cockpit optimisation, integration with MM/EWM modules) - Ability to create end-to-end test scenarios based on business processes for S/4HANA TM User Acceptance Testing - Ability to perform hands-on execution of test scripts in S/4HANA TM and validate results against expected outcomes - Experience working in Logistics Sector (Freight sector preferred) - Understand automotive or other supply chains and material flow principles - Able to conduct detailed business process mapping / analysis and identify improvement opportunities, supported by data - Track record of performing structured analysis of data and presenting outcomes to both technical and non-technical audiences - Experience in the use of Data and Analytics tools and processes and confident working with disparate data sources (structured and unstructured) - Data exploration / visualisation with Tableau (preferred), Looker, Power BI etc. - Strong across the Office 365 technology stack (Word, PowerPoint, Excel) - Ability to work independently, plan and prioritise varying workload and demands - Excellent written and verbal communication skills Education: - Educated to degree level (STEM subjects preferred) or equivalent experience Additional information: This role is on a contract basis and is Inside IR35. The services advertised by Premea Limited for this vacancy are those of an Employment Business. Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.
10/04/2026
Contractor
Our premium brand Automotive client is currently recruiting for the following role: SAP Business Analyst - 27.21/hr (Inside IR35) - Solihull (hybrid potential) - 12 Months (maternity cover) Duties: SAP Business Analysis work focuses on identifying and analysing business needs, conducting requirements gathering, and defining scope and objectives for SAP Enterprise Resource Planning (ERP) applications integrated with business processes/data and IT infrastructure (i.e., an application system) including: - Making recommendations for solutions or improvements to business processes that can be accomplished through SAP module(s) - Researching business requirements, developing detailed specifications, and validating the SAP solutions with business stakeholders - Communicating business stakeholder needs to the SAP development team by translating business requirements into SAP module requirements Responsibilities include: - Managing projects / processes, working independently with limited supervision. - Coaching and reviewing the work of lower level professionals. - Problems faced are difficult and sometimes complex. Typical Title: Skills: - Working knowledge and experience of S/4HANA Transport Management System (Inbound Order -based planning preferable including freight unit building, transportation cockpit optimisation, integration with MM/EWM modules) - Ability to create end-to-end test scenarios based on business processes for S/4HANA TM User Acceptance Testing - Ability to perform hands-on execution of test scripts in S/4HANA TM and validate results against expected outcomes - Experience working in Logistics Sector (Freight sector preferred) - Understand automotive or other supply chains and material flow principles - Able to conduct detailed business process mapping / analysis and identify improvement opportunities, supported by data - Track record of performing structured analysis of data and presenting outcomes to both technical and non-technical audiences - Experience in the use of Data and Analytics tools and processes and confident working with disparate data sources (structured and unstructured) - Data exploration / visualisation with Tableau (preferred), Looker, Power BI etc. - Strong across the Office 365 technology stack (Word, PowerPoint, Excel) - Ability to work independently, plan and prioritise varying workload and demands - Excellent written and verbal communication skills Education: - Educated to degree level (STEM subjects preferred) or equivalent experience Additional information: This role is on a contract basis and is Inside IR35. The services advertised by Premea Limited for this vacancy are those of an Employment Business. Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.
Harnham - Data & Analytics Recruitment
Leicester, Leicestershire
POWER BI DEVELOPER Up to £50,000 + BENEFITS HYBRID - Leicestershire I am looking for a Power BI Developer to join a finance-focused data team. You'll be at the heart of turning data into insights across four business-critical finance areas, helping shape decision-making and drive self-service analytics. THE COMPANY: This business is moving toward a modern Gold Standard Medallion Architecture, with a focus on empowering teams through self-service analytics and scalable reporting. The data team is central to how finance operates, and your dashboards will have real visibility and impact across the business. THE ROLE: A Power BI Developer will need to: Collaborate with SQL engineers to design and deliver Power BI dashboards Partner with finance stakeholders to gather requirements and deliver tailored reporting Build engaging visualisations that use data storytelling to influence decisions Drive the adoption of self-service analytics and reduce reliance on ad hoc queries YOUR SKILLS AND EXPERIENCE: A successful Power BI Developer will have the following: Power BI experience (end-to-end dashboard development) ETL experience DAX experience Excellent communication skills for stakeholder engagement and requirements gathering THE BENEFITS: You will receive a salary of up to £50,000, depending on experience. On top of this, there are excellent benefits and the chance to be part of a transformational data journey. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
10/04/2026
Full time
POWER BI DEVELOPER Up to £50,000 + BENEFITS HYBRID - Leicestershire I am looking for a Power BI Developer to join a finance-focused data team. You'll be at the heart of turning data into insights across four business-critical finance areas, helping shape decision-making and drive self-service analytics. THE COMPANY: This business is moving toward a modern Gold Standard Medallion Architecture, with a focus on empowering teams through self-service analytics and scalable reporting. The data team is central to how finance operates, and your dashboards will have real visibility and impact across the business. THE ROLE: A Power BI Developer will need to: Collaborate with SQL engineers to design and deliver Power BI dashboards Partner with finance stakeholders to gather requirements and deliver tailored reporting Build engaging visualisations that use data storytelling to influence decisions Drive the adoption of self-service analytics and reduce reliance on ad hoc queries YOUR SKILLS AND EXPERIENCE: A successful Power BI Developer will have the following: Power BI experience (end-to-end dashboard development) ETL experience DAX experience Excellent communication skills for stakeholder engagement and requirements gathering THE BENEFITS: You will receive a salary of up to £50,000, depending on experience. On top of this, there are excellent benefits and the chance to be part of a transformational data journey. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Your new role As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. Ensure Data Quality: Apply governance, security, and compliance standards. Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics. Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines. Contribute to Best Practices: Help define standards for naming, schema design, and development processes. What you'll need to succeed Strong hands-on experience with Snowflake, SQL, Python, and Dbt Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred) Experience supporting analytics using BI tools such as Power BI Familiarity with data ingestion tools (e.g. Airbyte, Fivetran) Working knowledge of Git, CI/CD, and modern data engineering practices What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
10/04/2026
Full time
Your new role As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. Ensure Data Quality: Apply governance, security, and compliance standards. Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics. Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines. Contribute to Best Practices: Help define standards for naming, schema design, and development processes. What you'll need to succeed Strong hands-on experience with Snowflake, SQL, Python, and Dbt Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred) Experience supporting analytics using BI tools such as Power BI Familiarity with data ingestion tools (e.g. Airbyte, Fivetran) Working knowledge of Git, CI/CD, and modern data engineering practices What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Software Delivery Manager (Data Products / SaaS) Location: Blackfriars, London (5 days onsite) We are looking for an experienced Software Delivery Manager / Agile Delivery Manager to lead the end-to-end delivery of data-driven products within a fast-paced, data-centric environment. This role is ideal for someone who thrives in SaaS or subscription-based businesses, where products are built around data, analytics, and insights, and where delivery decisions are driven by metrics and performance. The Role You will take full ownership of delivering a data-focused product or platform, working closely with cross-functional teams including engineering, data engineering, and analytics. This is a hands-on delivery leadership role requiring a strong understanding of how data flows through systems, combined with the ability to use metrics and reporting to drive outcomes. Key Responsibilities Own end-to-end delivery of data products and platforms Lead Agile delivery (Scrum/Kanban), ensuring predictable and high-quality outcomes Work closely with engineers, data engineers, and analysts to deliver scalable data solutions Drive delivery performance using data, reporting, and KPIs Oversee data pipelines (ETL), reporting layers, and dashboards Track and optimise delivery metrics such as velocity, cycle time, lead time, and throughput Ensure alignment between business goals, product outcomes, and delivery execution Provide visibility to stakeholders through clear reporting and insight-driven updates Required Experience Proven experience as a Delivery Manager / Agile Delivery Manager within data-driven or SaaS environments Strong understanding of data products, analytics platforms, or insight-led solutions Experience working with cross-functional technical teams (engineering, data, analytics) Solid knowledge of data pipelines (ETL), dashboards, and reporting frameworks Experience using delivery and product metrics to drive decision-making Background in mid-sized (mid-market) organisations, with broad ownership across delivery Technical & Data Capability (Essential) Candidates must be able to demonstrate hands-on familiarity with data environments, including: Tools: Python, SQL, Tableau/Power BI (or similar) Data concepts: ETL pipelines, data modelling, reporting layers Metrics: Accuracy, latency, completeness, recall/precision (where relevant) Ability to confidently interpret and challenge data to inform delivery decisions We are specifically looking for someone who can clearly demonstrate: How they measure performance What tools they use How they report insights Why Join Work on data-centric products that directly drive business value High visibility role with end-to-end ownership Collaborative, fast-moving mid-sized environment 51397MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.
09/04/2026
Full time
Software Delivery Manager (Data Products / SaaS) Location: Blackfriars, London (5 days onsite) We are looking for an experienced Software Delivery Manager / Agile Delivery Manager to lead the end-to-end delivery of data-driven products within a fast-paced, data-centric environment. This role is ideal for someone who thrives in SaaS or subscription-based businesses, where products are built around data, analytics, and insights, and where delivery decisions are driven by metrics and performance. The Role You will take full ownership of delivering a data-focused product or platform, working closely with cross-functional teams including engineering, data engineering, and analytics. This is a hands-on delivery leadership role requiring a strong understanding of how data flows through systems, combined with the ability to use metrics and reporting to drive outcomes. Key Responsibilities Own end-to-end delivery of data products and platforms Lead Agile delivery (Scrum/Kanban), ensuring predictable and high-quality outcomes Work closely with engineers, data engineers, and analysts to deliver scalable data solutions Drive delivery performance using data, reporting, and KPIs Oversee data pipelines (ETL), reporting layers, and dashboards Track and optimise delivery metrics such as velocity, cycle time, lead time, and throughput Ensure alignment between business goals, product outcomes, and delivery execution Provide visibility to stakeholders through clear reporting and insight-driven updates Required Experience Proven experience as a Delivery Manager / Agile Delivery Manager within data-driven or SaaS environments Strong understanding of data products, analytics platforms, or insight-led solutions Experience working with cross-functional technical teams (engineering, data, analytics) Solid knowledge of data pipelines (ETL), dashboards, and reporting frameworks Experience using delivery and product metrics to drive decision-making Background in mid-sized (mid-market) organisations, with broad ownership across delivery Technical & Data Capability (Essential) Candidates must be able to demonstrate hands-on familiarity with data environments, including: Tools: Python, SQL, Tableau/Power BI (or similar) Data concepts: ETL pipelines, data modelling, reporting layers Metrics: Accuracy, latency, completeness, recall/precision (where relevant) Ability to confidently interpret and challenge data to inform delivery decisions We are specifically looking for someone who can clearly demonstrate: How they measure performance What tools they use How they report insights Why Join Work on data-centric products that directly drive business value High visibility role with end-to-end ownership Collaborative, fast-moving mid-sized environment 51397MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.
Understanding Recruitment
St. Albans, Hertfordshire
Data Engineer Hertfordshire (Hybrid, 2 days in the office) £45,000 - £55,000 + benefits I'm working with a well-established travel business, who are looking to hire a Data Engineer to support their growing digital and marketing function. This is a unique opportunity to join a lean, high-impact team where you'll play a key role in shaping how data is used across the business. You'll work closely with marketing stakeholders to extract, transform, and automate data from multiple sources, helping drive performance improvements and better decision-making. This role is ideal for someone who enjoys working across both engineering and analytics, delivering quick wins through automation while building towards a more advanced data and insight capability over time. The Data Engineer will be responsible for: Extracting and transforming data from multiple sources including BigQuery, GA4, CRM and marketing platforms Building and improving data pipelines with SQL to support reporting and insight generation Automating manual reporting processes(currently Excel-based) to improve efficiency Supporting the transition towards visualisation tools such as Power BI, Looker or Tableau This is a great opportunity for someone looking to take ownership in a smaller team, with the chance to grow into a broader analytics and insight-focused role!
09/04/2026
Full time
Data Engineer Hertfordshire (Hybrid, 2 days in the office) £45,000 - £55,000 + benefits I'm working with a well-established travel business, who are looking to hire a Data Engineer to support their growing digital and marketing function. This is a unique opportunity to join a lean, high-impact team where you'll play a key role in shaping how data is used across the business. You'll work closely with marketing stakeholders to extract, transform, and automate data from multiple sources, helping drive performance improvements and better decision-making. This role is ideal for someone who enjoys working across both engineering and analytics, delivering quick wins through automation while building towards a more advanced data and insight capability over time. The Data Engineer will be responsible for: Extracting and transforming data from multiple sources including BigQuery, GA4, CRM and marketing platforms Building and improving data pipelines with SQL to support reporting and insight generation Automating manual reporting processes(currently Excel-based) to improve efficiency Supporting the transition towards visualisation tools such as Power BI, Looker or Tableau This is a great opportunity for someone looking to take ownership in a smaller team, with the chance to grow into a broader analytics and insight-focused role!
