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Senior Data Software Engineer (Public Sector Consultancy) Salary: £55 - 72K + Benefits Location: London or Manchester (aligned to office for client on-site requirements) Working Pattern: Hybrid / On-site depending on client needs Security Clearance: DV Clearance required - Can Start With Active SC You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens. This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments. Role Responsibilities Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads. Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach. Collaborate closely with data scientists to enable effective use of data for analytics and machine learning. Build and operate cloud-based solutions, with a strong focus on AWS services. Work with messaging, streaming, or data flow technologies to support real-time and batch data processing. Contribute to infrastructure and platform automation using Infrastructure as Code. Participate in agile ceremonies, technical design discussions, and code reviews. Ensure solutions meet security, performance, and reliability requirements within public sector environments. What You Will Bring to the Team A strong interest in data, particularly data engineering, data science, or machine learning. A solid technical background, with experience in Java, Python, TypeScript, or similar languages. Experience developing software using TDD or a strong willingness to adopt TDD practices. Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams. Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. A proactive mindset with attention to detail and a commitment to quality. Desirable Skills and Experience Senior experience working with cloud platforms, ideally AWS. A strong Linux background. Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Previous experience working in a consultancy or public sector delivery environment. Familiarity with secure or regulated environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you. TPBN1_UKTJ

Data Software Engineer (Public Sector Consultancy) Salary: £40 - 55K + Benefits Location: London or Manchester (aligned to office for client on-site requirements) Working Pattern: Hybrid / On-site depending on client needs Security Clearance: DV Clearance required You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens. This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments. Role Responsibilities Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads. Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach. Collaborate closely with data scientists to enable effective use of data for analytics and machine learning. Build and operate cloud-based solutions, with a strong focus on AWS services. Work with messaging, streaming, or data flow technologies to support real-time and batch data processing. Contribute to infrastructure and platform automation using Infrastructure as Code. Participate in agile ceremonies, technical design discussions, and code reviews. Ensure solutions meet security, performance, and reliability requirements within public sector environments. What You Will Bring to the Team A strong interest in data, particularly data engineering, data science, or machine learning. A solid technical background, with experience in Java, Python, TypeScript, or similar languages. Experience developing software using TDD or a strong willingness to adopt TDD practices. Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams. Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. A proactive mindset with attention to detail and a commitment to quality. Desirable Skills and Experience Experience working with cloud platforms, ideally AWS. A strong Linux background. Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Previous experience working in a consultancy or public sector delivery environment. Familiarity with secure or regulated environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you. TPBN1_UKTJ

Contract Role: Prompt Engineer (Salesforce & Generative AI Integration) Duration: 3-4 months Rate: £550-575/day inside IR35 Location: Fully Remote (UK-based candidates only) Overview We are seeking a highly skilled Prompt Engineer with deep expertise in the Salesforce platform and hands-on experience in Generative AI integration . This role bridges the gap between business requirements and intelligent automation, crafting high-impact prompts and embedding AI capabilities into Salesforce workflows to enhance customer experience and operational efficiency. Key Responsibilities Salesforce Platform Expertise Design and configure Salesforce objects, data models, and automation using Flows, Apex, and Lightning Web Components (LWC) . Leverage Service Cloud and Sales Cloud functionality to support AI-driven use cases. Integrate Einstein AI and Prompt Builder within Salesforce environments. Prompt Engineering Fundamentals Develop clear, context-rich prompts for generative AI models, ensuring accuracy and relevance. Apply role-based prompting , task specificity , and format constraints . Continuously refine and iterate prompt logic based on output quality and user feedback. Business Process & Use Case Design Translate business needs into actionable GenAI use cases . Collaborate with subject matter experts to define, validate, and prioritize AI-driven solutions. Document prompt logic and use cases for scalability and future reuse. Testing, Validation & Compliance Review GenAI outputs for accuracy, safety, and compliance with company standards. Configure and test Lightning components and AI features within Salesforce workflows. Ensure all AI implementations adhere to ethical and security guidelines. Integration & Automation Embed generative AI features directly into Salesforce UI and case management flows . Integrate external AI services using APIs and middleware platforms. Contextualize prompts using real-time Salesforce data and user inputs. Collaboration & Communication Partner with solution architects, developers, and business analysts. Support training initiatives and document best practices for prompt engineering . Present findings, performance metrics, and recommendations to leadership and stakeholders. Continuous Improvement & Analytics Monitor prompt performance and gather user feedback to inform optimizations. Conduct A/B testing , audits, and surveys to refine prompt strategies. Stay up to date with AI trends , Salesforce releases , and evolving platform capabilities . Qualifications 5+ years' experience in Salesforce platform development and configuration . 2+ years' experience in prompt engineering or generative AI implementation . Proficiency in Apex, LWC, Flows , and Salesforce integration frameworks. Familiarity with Einstein AI , Prompt Builder , and GenAI APIs . Strong analytical, communication, and documentation skills. Experience working in agile, cross-functional teams . Preferred Skills Experience with AI model tuning and prompt chaining . Understanding of data privacy and AI ethics in enterprise environments. Certifications such as Salesforce Platform Developer and Salesforce AI Associate (preferred). Email TPBN1_UKTJ

Cyber Software Vulnerability Engineer Package - £45,000 - £65,000 (depending in experience level) Benefits - DV Bonus plus excellent benefits Clearance - Clearable to eDV level, SC clearance required to start. Location - Hampshire, Surrey or London - hybrid working Join a trusted leader in National Security technology solutions. Do you enjoy solving technical cyber problems and identifying vulnerabilities? As part of our client's expanding National Security division, you'll contribute to high-impact missions across AI/Data Science, Cybersecurity, Cloud, DevOps, and Platform Engineering. We're seeking inquisitive individuals who excel at dissecting technical systems, not just to understand how they work, but to identify weaknesses, assess risks, and develop mitigation strategies. What You'll Be Doing Software analysis and reverse engineering of compiled or interpreted code that could be obfuscated or defensively structured, for either x86/x64 or ARM processor architectures. Reverse engineering a wide range of technologies to uncover vulnerabilities and improve security including operating systems and/or firmware internals, security architectures and hardware abstraction. Engineering software from design to delivery in modern IDEs and languages, using Agile delivery. Creating tested and testable code. Integrating with automated verification systems, CI and CD pipelines. Working closely with cybersecurity teams to prioritize vulnerabilities and implement patching strategies. Collaborating in Agile teams to deliver innovative, secure, and robust technical solutions. What We're Looking For Proficiency in one or more of C, C++, Java or C#. Familiarity with scripting and automation using Python, Bash, Powershell or Groovy. Experience working with IDA Pro or Ghidra for reverse engineering Experience working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required Due to the nature of the clients' work, you will either already hold or are required to go through the eDV security clearance process. SC Clearance required to start This is an incredible opportunity to be at the forefront of National Security innovation. If you're naturally curious, thrive in high-stakes environments, and want to make a real impact, apply today! As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full list of current permanent and interim opportunities as well as marketplace news and fun stuff. Forward Role is operating as an employment agency. TPBN1_UKTJ

Lead QA Data Engineer – Build Trust at the Heart of Our Data Platform 18 month Fixed Term Contract Ready to shape how data quality is engineered, not just checked? If you're passionate about building trustworthy data at scale, embedding quality into modern data platforms, and leading others to do the same, this is your opportunity to have a genuine, enterprise-wide impact. As our Lead QA Data Engineer, you'll sit at the heart of our data ecosystem - defining how data quality, testing, and assurance are designed into pipelines from day one. This is a senior, influential role, responsible for safeguarding the accuracy, reliability, and credibility of the data that underpins reporting, analytics, and decision-making across the business. What You'll Be Doing You'll lead the strategy and implementation of data quality engineering across our data platforms, moving us beyond reactive checks towards automated, scalable, and proactive quality assurance. Working closely with Data Engineers, Architects, Analysts, and Product teams, you'll define standards, frameworks, and best practices — while also remaining hands-on where it matters most. You'll champion “quality by design”, ensuring data is reliable, governed, and production-ready before it reaches consumers. This role plays a critical part in protecting the integrity of our analytics and data products, and in building confidence across the organisation in how data is created, tested, and consumed. Responsibilities Own and lead the end-to-end data quality and testing strategy across data pipelines and platforms. Design and implement automated testing frameworks for batch and streaming data pipelines. Define and enforce data quality rules, metrics, and monitoring across key datasets. Integrate data testing and validation into CI/CD pipelines and engineering workflows. Partner with Data Engineers to review pipeline design, transformations, and schema changes. Lead root-cause analysis for data incidents and drive long-term preventative improvements. Establish documentation, standards, and governance processes for data quality and assurance. Mentor and develop engineers, embedding strong quality engineering practices across teams. Interested? Here's What You'll Need to Be Successful Strong experience in data engineering or QA data engineering within modern data platforms. Proven expertise in automated data testing and validation (e.g. expectations-based frameworks). Advanced skills in Python and SQL, with a solid understanding of ETL/ELT and data modelling. Experience working with cloud data platforms (e.g. Databricks, Snowflake, BigQuery). Deep understanding of data quality, governance, lineage, and observability concepts. Confidence influencing technical and non-technical stakeholders at senior levels. Experience leading, mentoring, or setting standards for other engineers. At Evri, we know we only grow if our people do too. That's why we're committed to building a truly inclusive and diverse workplace where everyone can bring – and be – their whole authentic selves. We are Evri. Where everyone is welcome. Let's build data you can trust. TPBN1_UKTJ

Lead AI Engineer Location: Remote Salary: £60-70k + Bonus + Benefits Job Type: Permanent Sponsorship: Not Available Choosing to work here means choosing to make a difference. The organisation is changing how businesses and consumers use energy for the better helping to achieve a greener, more sustainable, and more affordable energy system for everyone. Through a range of innovative energy solutions, it is delivering the future of smart energy and working closely with private and public sector partners to play a critical role in transforming and decarbonising the UK economy by 2050. What's the role? Step into a role where strategy meets engineering excellence. As a Lead AI Engineer, you will be the driving force behind turning bold business opportunities into production-ready AI solutions. You will shape intelligent agents, craft next-generation conversational experiences using modern AI tooling, and architect a semantic layer that ensures models deliver accurate, trusted insights every time. If you're ready to take ownership of an organisation's AI future and build the systems that make it real this role offers a genuine platform to do so. Key Responsibilities: AI Solution Development & Agent Building Design, build, and deploy low-code and pro-code AI agents to automate business workflows (e.g. HR queries, IT support, operational data retrieval) Develop custom Retrieval-Augmented Generation (RAG) solutions to enable large language models to reason over proprietary documents and data Integrate AI agents with enterprise systems (e.g. CRM, collaboration tools, operational platforms) via APIs and automation connectors Semantic Modelling & AI Workspace Curation Own the creation and maintenance of AI semantic workspaces, translating complex database schemas into business-friendly models Define and govern standard metrics, dimensions, and synonyms to ensure AI systems 'speak the language of the business' Continuously monitor AI answer quality, using human feedback to refine semantic models and improve accuracy over time Business Engagement & Prototyping Partner with business stakeholders across finance, operations, and commercial teams to translate high-level use cases into technical requirements Rapidly prototype AI solutions to demonstrate value and accelerate adoption Act as a technical evangelist, enabling non-technical users to interact effectively with AI tools and insights AI Operations (LLMOps) & Governance Implement monitoring frameworks to track cost, latency, and quality of AI outputs Ensure AI solutions comply with organisational data governance and security standards, including preventing data leakage via LLMs Manage the full lifecycle of AI models and agents from development through production and retirement What We're Looking For? Strong hands-on experience with modern cloud data and AI platforms, including AI agent tooling, analytics platforms, and semantic layers Strong stakeholder engagement experience with the skill-set of being able to translate complex requirements to the board and senior team members Proven ability to design analytics-ready data models and metrics layers Practical experience with large language models LLM's, prompt engineering, and RAG architectures Proficiency in Python (data manipulation, API interaction) and SQL data modelling Experience working with REST APIs and integrating multiple business systems Ability to clearly explain complex AI concepts to non-technical stakeholders and translate feedback into production-quality solutions What's in it for you? 25 personal holiday days per year (plus 8 public holidays), increasing to 30 days after 5 years of service (with buy/sell options) Enhanced maternity, paternity, and adoption leave 24/7 free and confidential employee assistance service Health benefits plan offering cashback on everyday healthcare (optical, dental, physio), discounted gym memberships, and free 24/7 online GP access Life insurance (4 annual salary) Pension matching scheme (up to 5% of salary) TPBN1_UKTJ

Job Title: Job Title: Quantitative Developer Location: London, UK (Hybrid 3 days onsite per week) Contract Type: Inside IR35 Experience 10+ years of professional experience as a Quantitative Developer or Senior Software Engineer within financial services. Role Overview We are seeking an experienced Quantitative Developer to build and enhance high-performance trading and analytics platforms. The role involves close collaboration with quantitative researchers and trading teams to deliver robust, scalable, and production-ready systems in a fast-paced environment. Key Responsibilities Design, develop, and maintain high-performance trading, pricing, and analytics systems Implement quantitative models and strategies using C/C++ and Python Optimise applications for low latency, high throughput, and stability Work extensively in Linux environments , including automation via shell scripting Collaborate with quants, traders, and technology teams to productionise research Troubleshoot complex production issues and drive continuous performance improvements Adhere to best practices for code quality, testing, and version control using Git Required Skills & Experience Expert-level development experience in C and/or C++ Strong hands-on experience with Python in production environments Deep knowledge of Linux systems , performance tuning, and debugging Proficiency in shell scripting (Bash or similar) Strong experience with Git and collaborative development workflows Proven experience delivering mission-critical systems in financial services Desirable Skills Background in quantitative finance, trading systems, or capital markets Experience with low-latency architectures, multithreading, and concurrency Understanding of numerical methods, statistics, or financial models TPBN1_UKTJ

Data Engineer Join Us in Securing the Nation's Future Are you ready to make a real impact? At the forefront of national security, our client is a trusted partner delivering mission-critical solutions that protect the UK and its interests. As a Data Engineer, you'll be actively involved in development of mission critical technical solutions that focus on data services for our National Security customers. This is your opportunity to work on cutting-edge projects in AI, Cybersecurity, Cloud, Big Data, and Digital Transformation-helping to shape the future of national security. Your Mission As our next Data Engineer, you'll be managing and developing data pipelines that transform raw data into valuable insights for their National Security customers, enabling downstream analytics and reporting. You'll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets. What You'll Do * Data pipeline development - Data ingestion and pipeline orchestration design and tooling. * Database schema design / database modelling * Data integration - Integrating and enriching data from various sources, ensuring data consistency and quality. * ETL processing design and coding - Extract transform and load processing such as NiFI. * Create code that is open by default and easy for others to reuse * Maintain and develop existing architectural components including Data Ingest and Data Stores * Work as part of an operational team investigating and diagnosing problem identified with integrated (enriched) data. * Explain the difference between user needs and the desires of the user * Data security - Implementing data security measures to protect sensitive information. * Be able to help the scrum team decompose user requests and key results into epics and stories. * Writing clean, secure code following a test-driven approach * Create code that is open by default and easy for others to reuse * Monitor and maintain - Monitor data systems for performance issues and make any necessary updates. What You'll Bring We're looking for individuals with a blend of analytical thinking, stakeholder engagement, and a passion for national security. Ideal candidates will have knowledge in some of the following: * ETL processing languages such as Python * Apache Spark / NiFi / Kafka * Relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) * AWS and data-related services * Palantir Foundry Why Join Us? * Purpose-Driven Work: Contribute to projects that protect lives and national interests. * Innovation at the Core: Work with leading-edge technologies in AI, Cyber, and Cloud. * Career Growth: Be part of a growing business with clear progression paths and investment in your development. * Culture of Excellence: Join a team of experts who are passionate, collaborative, and mission-focused. * Flexible Working: Hybrid model with time spent at our state-of-the-art offices, working remotely and possibly at client sites. We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey. Where You'll Work - Roles available in: Romsey, Gloucester, Manchester and Woking. There is an expectation that a proportion of your time may be spent working on client sites in the London area. Clearance Due to the nature of this role, we require you to be eligible and willing to achieve DV clearance. The Next Step... Click apply, submitting an up-to-date CV. We look forward to hearing from you. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you. TPBN1_UKTJ

Telford (2 days per week on-site) Up to £530 per day 6-month contract Active SC Clearance required Were looking for an experienced Data Engineer to join a newly formed scrum team working on a large-scale, data-driven platform within a highly regulated public sector environment. This role focuses on building and enhancing robust data acquisition, ingestion, and risking services that underpin critical analytics and decision-making capabilities. The Role Youll play a key part in designing and delivering scalable data pipelines and integration services that consolidate multiple data sources into a unified, high-performance platform. The work supports complex analytical and BI workloads, leveraging modern data engineering, cloud, and DevOps practices. Key Responsibilities Design, build, and deploy data integration and transformation solutions Develop scalable data pipelines and services for analytics and BI platforms Work closely with product owners, analysts, and engineers to define requirements and deliver solutions Contribute to Agile/Scrum ceremonies and continuous improvement Implement DevOps practices including CI/CD, automated testing, and deployment Ensure high standards of data quality, governance, and security Troubleshoot complex data and performance issues Mentor junior team members where required Key Skills & Experience Strong ETL experience with Pentaho and Talend Data virtualisation experience using Denodo SAS for data analytics and reporting Strong SQL and data modelling skills Hands-on AWS experience (building, integrating, or supporting data solutions in the cloud) Experience with DevOps tooling (e.g. Jenkins, Git, Docker, Kubernetes) Solid understanding of Agile and Scrum ways of working Strong communication and problem-solving skills Nice to Have Experience leading data initiatives or technical workstreams Agile, DevOps, or data platform certifications TPBN1_UKTJ

Well suited to someone early in their data engineering journey, circa 2+ years’ experience, ready to step up. Help shape and deliver a refreshed data strategy and analytics platform. Design and optimise core data models, dimensional, analytics-ready, built to last.

Senior Machine Learning Engineer. As a Senior ML Engineer, you'll work across different clients, industries, and use cases - perfect if you enjoy variety and dislike being stuck on slow moving projects.

Stay current with data engineering best practices, particularly within the Microsoft technology stack. Data Engineer or in a similar role. Solid understanding of data modelling best practices for analytics and dashboards.

Senior Python Scraping Engineer. I'm looking for a Python Scraping Engineer to join a growing AI-focused data team. Collaborate closely with data engineers and AI teams to ensure scraped data is trusted and usable.

As an AI Engineer, you will design, build, and deploy end-to-end AI solutions.

I'm looking for a Python Scraping Engineer to join a growing AI-focused data team. Collaborate closely with data engineers and AI teams to ensure scraped data is trusted and usable.

Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets. Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis. Optimise data pipelines for performance, scalability, and efficiency, fo

Staff Machine Learning Engineer. They're exploring how AI can raise the quality and performance of large-scale digital products, blending hands-on engineering with real research. The team works on forward thinking projects that blend research, experimentation, and hands-on engineering.

Strong engineering capability with Python, SQL, plus big data tooling (e. Data Engineer Opportunity, DV-cleared only. A progressive, leading-edge UK consulting and technology organisation is hiring Data Engineers to deliver mission-critical work across defence and security programmes, building moder

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics. Python and Kuberne

Senior ML Operations Engineer (Python)Salary: Up to £66,000 depending on experience Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months)Ref: J13060We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deploy

A global financial services firm in London is seeking a Senior Lead Software Engineer to enhance applications for Equity Derivatives trading.

As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimize our analytics stack to empower decision-making across the company. Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated dat

A leading fintech company in London is seeking an Analytics Engineer to build data foundations driving user acquisition.

Join us as an Analytics Engineer. Join us as an Analytics Engineer to help thousands of Nonprofits get access to funding. We’re looking for an exceptionally detailed, hands-on, process-driven Analytics Engineer to own the smooth flow of funds from customers to charities.

A leading energy provider in Greater London is seeking a dbt wizard to help build scalable data foundations within their new Analytics Platform team. You will be responsible for delivering analytics solutions using modern BI tools and ensuring data quality.

A leading analytics firm in Elmbridge is seeking an experienced Analytics Engineer to translate business needs into technical data requirements and deploy advanced analytical models.

A leading analytics solutions provider in the UK is seeking a Principal Data Engineering Consultant to work remotely.

Significant experience in analytics engineering / data modelling / BI engineering roles, delivering self-serve analytics at scale. You will sit at the intersection of Data Engineering, Analytics, and the business, shaping how the company interacts with data day-to-day. Collaborate with Data Science

We're looking for an Analytics Engineer to help build and maintain the data models that power analytics and data science across the business. This role sits within the Data & Insight team, reporting to the Director of Data Engineering. Translate business and analytics requirements into scalable data

A leading food technology company in the United Kingdom is seeking an experienced Analytics Engineer to transform data insights into actionable intelligence. Ideal candidates will have 6+ years in analytics or data engineering, along with excellent SQL skills and a strong understanding of data wareh

They’re now looking to add an experienced Analytics Engineer to join their expanding Analytics Practice. As Analytics Engineer, you will have. Analytics Engineer, Staffordshire (Hybrid) – CIRCA £55,000.

Mentor other analytics engineers, levelling up the team and embedding a culture of craftsmanship and ownership. We’re looking for a Lead Analytics Engineer to build the data foundation that powers Healf’s next stage of growth. This role sits at the centre of our data ecosystem, partnering across

We’re looking for an Analytics Engineer to join our Data Enablement team. In this role, you’ll turn raw data into well‑structured, business‑ready models that enable reliable reporting and analytics. This is a hands‑on engineering role with a strong business focus.

We welcome programmers of all backgrounds as long as you focus on data engineering solutions and attention to quality.

The role focuses on enhancing underwriting analytics through Data Lakehouse while collaborating with various stakeholders. A leading provider of insurance in the City of London is seeking a Data Engineer to develop and maintain strategic data platforms.

A global leader in energy trading seeks a Senior Front Office Software Engineer to enhance trading processes and analytics.

The Analytics Engineer is responsible for acting strategically and technically in transforming data into valuable business insights. Collaborating with the data architecture team to design and implement analytics solutions, aligning both technical and business requirements. Supporting the continuous

The role involves architecting a cutting-edge data platform, mentoring a team of engineers, and collaborating cross-functionally to meet analytic needs.

A leading social impact startup in Greater London is seeking an Analytics Engineer to ensure the smooth flow of funds to charities.

Process Analytical Chemist / Chemical Engineer. A degree in chemistry, chemical engineering, or a related field.

A prominent financial services company in the UK is seeking an Analytics Engineer to join their Data Engineering team.

A leading motor insurance provider in Greater London is seeking a Data Software Engineer to join their Claims team.

A leading global entertainment company based in London is seeking a Data Engineer to design and maintain data processing platforms. This role involves writing scalable code, supporting analytics and insights for products, and requires strong SQL and programming skills.

The role involves managing KDB+ stacks, collaborating with front office teams, and providing analytics solutions.

A dynamic data-driven company in Greater London is seeking a data professional to strengthen its Data team.The role demands strong SQL skills, experience in building data pipelines, and a collaborative spirit to partner with various stakeholders.Responsibilities include conducting data analysis, cre