FP&A Analyst
London / £70000 - £75000 annum
INFO
SALARY:
£70000 - £75000
LOCATION
London
Permanent
FP&A Analyst
London, 3 days in office | £70,000
No Sponsorship offered
Must be strong in Excel
This is an exciting opportunity for an FP&A Analyst to join a high-performing finance team in a role that combines financial planning & analysis, business performance reporting, and strategic investment support. You'll gain exposure to senior stakeholders, board-level reporting, and key business decisions while helping to shape the future of reporting and analytics across the organisation.
The Company
They are a global professional services business with an established international presence and a strong reputation within their market. The organisation is investing heavily in data, reporting, and business performance capabilities to support continued growth. Their finance function plays a key role in driving strategic decision-making, with a strong focus on delivering high-quality insight across the business. This role sits within a collaborative FP&A team working across reporting, investments, and performance analysis.
The Role
As an FP&A Analyst, you will support financial and operational reporting, investment analysis, and performance measurement across multiple business areas.
Responsibilities include:
- Delivering monthly financial and operational reporting across the business
- Collecting, validating, cleansing, and consolidating data from multiple sources
- Building and enhancing Excel-based reporting packs and management information
- Producing presentations and board-level reporting for senior stakeholders
- Analysing profitability, revenue, utilisation, cash flow, and business KPIs
- Supporting investment performance tracking and strategic growth initiatives
- Partnering with stakeholders to gather business commentary and operational insights
- Identifying opportunities to improve reporting processes, governance, and data quality
- Supporting the transition towards a more mature data and reporting environment
- Acting as a key link between finance teams and data specialists
- Delivering ad hoc commercial analysis and performance reporting
Your Skills & Experience
To be successful in this FP&A Analyst role, you should have a strong blend of finance, reporting, and analytical expertise.
Essential requirements:
- Experience in FP&A, Commercial Finance, Finance Analysis, Management Accounting, or a similar analytical finance role
- Exceptional Excel skills, including:
- XLOOKUP
- INDEX MATCH
- SUMIFS
- Advanced data manipulation
- Multi-source data consolidation
- Reporting pack creation and enhancement
- Strong experience working with financial and operational KPIs
- Knowledge of revenue, profitability, cash flow, and commercial performance analysis
- Experience working with large, complex, or imperfect datasets
- Power BI experience, including Power Query and data transformation
- Strong stakeholder management and communication skills
- Ability to translate data into clear commercial insights and recommendations
- A proactive mindset with a focus on continuous improvement
- Availability within a maximum 6-week notice period
Desirable:
- Experience within professional services, consulting, accountancy, or other KPI-driven environments
- Exposure to data warehouse environments
- Knowledge of DAX
- Experience supporting investment or business performance reporting
What They Offer
- £70,000 - £75,000 base salary
- 5% profit share bonus
- Hybrid working with 3 days per week in the Victoria office
- Exposure to board-level reporting and senior leadership
- Opportunity to work on strategic investment and business performance projects
- Significant influence over reporting transformation initiatives
- Strong career development opportunities within finance, analytics, and business partnering
- Collaborative and commercially focused team environment
How to Apply
If you are an FP&A Analyst with outstanding Excel skills, strong commercial awareness, and a notice period of 6 weeks or less, I'd love to hear from you. Apply now to find out more.
CONTACT
Madison Barlow
Recruitment Executive
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Fraud Analyst
London
£400 - £400
+ Risk Analytics
ContractLondon
To Apply for this Job Click Here
Fraud Analyst
Remote 3 month Contract | Outside IR35 | £400 per day
This is an opportunity to join a growing decision intelligence function focused on strengthening fraud prevention and financial crime controls. You will play a key role in improving fraud decisioning, helping to build scalable processes, optimise rule performance, and support a data-driven approach to risk management.
The Company
They are a technology-driven organisation operating within a regulated financial services environment. As they continue to enhance their fraud and financial crime capabilities, they are investing in more sophisticated decisioning processes and controls. Working across risk, product, engineering, compliance, and data teams, they are building scalable solutions that support effective risk management and operational resilience. This contract offers the chance to make a meaningful impact on a critical business function.
The Role and Deliverables
- Support the end-to-end fraud rule lifecycle, including analysis, testing, deployment, monitoring, optimisation, and rollback.
- Analyse fraud patterns, alert trends, false positives, false negatives, and rule performance to identify opportunities for improvement.
- Translate operational insights and stakeholder requirements into structured and data-driven fraud rule proposals.
- Work closely with decisioning platforms and fraud rule engines to improve fraud detection capabilities.
- Monitor post-deployment rule performance and recommend adjustments based on measurable outcomes.
- Maintain clear documentation covering rule logic, testing activity, governance processes, and monitoring results.
Your Skills & Experience
- Strong experience as a Fraud Analyst, Fraud Strategy Analyst, Risk Analyst, Decisioning Analyst, or a similar fraud-focused role.
- Hands-on experience working with fraud decisioning tools, risk platforms, or fraud rules engines.
- Proven ability to create, test, monitor, and optimise fraud rules, thresholds, and risk controls.
- Strong analytical skills with experience assessing fraud trends, control effectiveness, and operational impact.
- Good understanding of card fraud, transaction fraud, payment fraud, account misuse, or related fraud typologies.
- Experience balancing fraud prevention objectives with customer experience and operational efficiency.
- Strong stakeholder management and communication skills, with the ability to explain complex risk concepts clearly.
- Comfortable working cross-functionally with product, engineering, compliance, risk, and data teams.
- Experience within fintech, payments, banking, or another regulated financial services environment.
- SQL or data analysis experience would be beneficial.
How to Apply
If you have strong experience in fraud decisioning, fraud strategy, and rule optimisation and are looking for your next contract opportunity, apply today to find out more.
To Apply for this Job Click Here
Senior MarTech Lead
London
£500 - £600
+ Digital Analytics
ContractLondon
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MarTech Lead
London | Inside IR35 | £500-600/day | Hybrid (2x on site) | 3-6 months
This is a high-impact contract opportunity to help shape the future of AI-enabled marketing within a major enterprise transformation programme. You’ll play a pivotal role in defining the technology and data foundations required to support a modern marketing operating model, working at the intersection of architecture, platforms, data, AI and business strategy.
The Company
They are a large, complex organisation undertaking an ambitious transformation of their marketing capability and operating model. As part of a wider AI and digital transformation agenda, they are evaluating how technology, data and platform ecosystems can better support future business objectives. The focus is on defining the target state rather than implementing new technology, making this an opportunity to influence strategic direction at senior stakeholder level.
The Role and Deliverables
- Define and govern the target technology architecture supporting a future AI-enabled marketing operating model.
- Assess the existing marketing technology ecosystem and identify opportunities to optimise platform capabilities, integrations and data flows.
- Develop pragmatic architecture, integration and platform roadmaps that align technology strategy with business objectives.
- Evaluate technology and data readiness for AI and agentic capabilities, ensuring scalability, governance and operational sustainability.
- Manage architectural dependencies, risks and platform considerations across multiple technology and business functions.
- Provide delivery assurance and architectural challenge across technology, data and platform workstreams.
Your Skills & Experience
- Strong experience leading enterprise technology transformation, platform modernisation or enterprise architecture programmes.
- Deep understanding of enterprise architecture, integration patterns, APIs, data architecture and platform ecosystems.
- Expertise in AI and agentic technology architectures, including orchestration, governance, infrastructure and data requirements.
- Ability to define target-state architectures and assess technology readiness within complex enterprise environments.
- Experience influencing senior technology and business stakeholders, including architecture, data, platform and executive leadership teams.
- Strong understanding of technology governance, security, risk management and architectural assurance in regulated environments.
- Experience across marketing technology ecosystems, such as Adobe Experience Cloud, Adobe Real-Time CDP, Customer Journey Analytics, Pega, Workfront, Microsoft and associated AI or data platforms.
- Capability to manage suppliers, technology dependencies and platform ownership across large-scale transformation initiatives.
How to Apply
If you’re a senior technology transformation leader with deep architecture, platform and data expertise, and you’re interested in shaping the future direction of AI-enabled marketing capabilities, please apply with your latest CV.
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Junior Data Scientist
London
£40000 - £50000
+ Data Science & AI
PermanentLondon
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Junior Data Scientist
London | £40,000 – £50,000
This is an excellent opportunity for a Junior Data Scientist to join an early-stage AI business at a pivotal point in its growth. With a growing client base, proprietary datasets, and direct access to experienced founders, you’ll have the chance to make a tangible impact while accelerating your development across Data Science, Data Engineering, and Generative AI.
The Company
They are building an AI-powered platform that helps businesses navigate complex operational and compliance processes through intelligent data solutions. Working in the global trade space, they transform documentation into actionable insights that support decision-making, visibility, and regulatory compliance. The business has secured strong funding and offers a collaborative startup environment where curiosity, ownership, and a passion for data are highly valued.
The Role
As a Junior Data Scientist, you will work closely with the founders and gain exposure to a wide range of data and AI projects.
Responsibilities include:
- Analysing large and complex datasets to uncover insights and business value
- Supporting the development of data pipelines and data engineering processes
- Working with proprietary client data to improve analytics and AI-driven outputs
- Contributing to Generative AI projects using modern LLM technologies
- Assisting with data labelling, model training, and experimentation
- Building reporting, visibility, and decision-support solutions
- Collaborating with stakeholders to understand business challenges and translate them into data-driven outcomes
- Learning how AI can be applied across operational, compliance, and sustainability-focused use cases
Your Skills & Experience
- Strong academic background in a STEM subject such as Computer Science, Mathematics, Physics, Engineering, or a related discipline
- Commercial experience working with data in a professional environment
- Strong Python and SQL skills
- Experience using machine learning libraries through professional work, research, or personal projects
- Exposure to Generative AI technologies and Large Language Models
- Understanding of software engineering fundamentals and development best practices
How to Apply
If you’re a data-driven problem solver with strong Python and SQL skills and want to build your career in Data Science and AI within a growing startup, apply today to learn more about this opportunity.
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Senior Data Scientist – Supply Chain Optimization (Contract)
London
£500 - £600
+ Data Science & AI
ContractLondon
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Rate: £500-600/day Outside IR35
Duration: Initial 6-Month Contract (Extension Likely)
Location: London (Hybrid)
Office Attendance: 2 days per week in the London office.
The Opportunity
We’re supporting a major UK retailer on a large-scale supply chain optimisation programme and are looking for a Senior Data Scientist with a strong background in Operational Research and optimisation.
This is not a Generative AI, NLP, or customer analytics role. Instead, you’ll be working on highly complex optimisation challenges that drive real-world operational decisions across a large supply chain network.
The programme has been running for several years and is viewed as a long-term strategic initiative, with further investment already secured.
The Role
You’ll be responsible for designing, developing and enhancing optimisation models that support large-scale supply chain decision-making.
Key Responsibilities
- Architecting and designing optimisation models for complex logistics and supply chain challenges
- Improving and scaling existing optimisation solutions
- Working closely with stakeholders to translate business problems into mathematical models
- Delivering solutions capable of handling billions of potential decision combinations
- Supporting the ongoing development of a critical optimisation platform used across the organisation
Required Experience
We’re particularly interested in candidates who can demonstrate:
- Strong experience in optimisation, Operational Research, or mathematical modelling
- Experience solving real-world supply chain, logistics, inventory, transportation, or network optimisation problems
- Hands-on experience with optimisation platforms such as AIMMS, AMPL, Gurobi, CPLEX, FICO Xpress, or similar
- Strong Python skills
- Experience working with large-scale optimisation problems where solution quality and performance are critical
- A strong academic background in Mathematics, Operational Research, Statistics, Engineering, Computer Science, or a related discipline
Ideal Background
Suitable candidates may come from:
- Retail
- Logistics
- Transportation
- Manufacturing
- Supply Chain Technology
- Warehousing & Distribution
- Airline Operations
- E-commerce Fulfilment
A PhD is not essential, but candidates will typically possess strong mathematical and analytical depth. Those with PhD research linked to real-world optimisation problems are highly encouraged to apply.
What They’re Looking For
Beyond technical expertise, the team values individuals who are:
- Naturally curious
- Proactive problem solvers
- Comfortable challenging assumptions
- Strong communicators who ask the right questions
- Passionate about solving complex operational problems
Interview Process
- 1-2 stage interview process
- Quick turnaround on feedback
- Immediate requirement
To Apply for this Job Click Here
Senior Technical Lead – AI & Product Engineering (Contract)
London
£600 - £800
+ Data Science & AI
ContractLondon
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Rate: £800/day Outside IR35
Duration: Initial 6-Month Contract
Location: London (Hybrid)
Office Attendance: 3 days per week onsite (West London)
Interview Process: 2 Stages
The Opportunity
We’re supporting a major international organisation undergoing a significant digital transformation across its operations and supply chain functions.
This is a greenfield opportunity to join a newly formed engineering organisation responsible for building a suite of AI-powered internal products designed to replace manual processes, spreadsheets, and legacy workflows. The programme has strong executive backing, a growing engineering team, and a roadmap of multiple products with significant business impact.
The first product focuses on leveraging Generative AI and LLMs to automate document analysis, extract structured insights, identify commercial risks, and improve operational efficiency across critical business functions.
The Role
As a Senior Technical Lead, you’ll provide architectural leadership across multiple engineering teams while working closely with product, data, AI, and business stakeholders.
This is primarily a technical leadership and architecture role rather than a hands-on development position. You’ll be responsible for shaping technical strategy, driving engineering excellence, and ensuring scalable, reliable solutions are delivered across a rapidly expanding product portfolio.
Key Responsibilities
- Lead architecture and technical direction across multiple product teams
- Own solution design and engineering standards
- Translate business requirements into scalable technical solutions
- Drive delivery across AI, software engineering, and data teams
- Mentor engineers and promote best practices
- Ensure solutions are secure, scalable, and production-ready
- Lead technical workshops, whiteboarding sessions, and architectural reviews
- Work closely with stakeholders to define product roadmaps and priorities
- Balance rapid product delivery with long-term platform sustainability
Required Experience
We’re particularly interested in candidates who can demonstrate:
- Proven experience leading engineering teams within enterprise environments
- Strong AWS architecture experience
- Deep understanding of modern software architecture and distributed systems
- Strong background in Python and FastAPI
- Experience designing and delivering AI-powered products
- Experience with Agentic AI frameworks such as LangGraph and LangChain
- Strong stakeholder management and communication skills
- Experience owning technical roadmaps and software delivery lifecycles
- Ability to operate across engineering, product, and business functions
Desirable Experience
- LLM applications and document-processing platforms
- Retrieval-Augmented Generation (RAG)
- React and Next.js
- Snowflake
- Airflow
- Data engineering and ETL pipelines
- Kubernetes and cloud-native infrastructure
- Supply chain, procurement, or operational systems
Ideal Background
Suitable candidates may come from:
- Product-led technology organisations
- Large-scale enterprise engineering environments
- AI-first startups
- Logistics and supply chain businesses
- Retail and e-commerce
- Insurance or other complex operational industries
We’re looking for someone who combines strong architectural thinking with a pragmatic product mindset and is comfortable building systems from the ground up.
What They’re Looking For
Beyond technical capability, the team values individuals who are:
- Strategic and commercially minded
- Strong communicators
- Comfortable operating in ambiguity
- Collaborative leaders
- Passionate about AI and modern software engineering
- Able to challenge assumptions and influence senior stakeholders
Interview Process
Stage 1: Technical architecture discussion focused on designing an AI-driven document processing platform.
Stage 2: Final interview with the hiring manager.
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Contract MLOps Engineer – Outside IR35
London
£400 - £600
+ Data Science & AI
ContractLondon
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Rate: £600 per day (Outside IR35)
Contract Length: 3 Months
Location: Hybrid / Remote
We’re supporting a business looking for an experienced MLOps Engineer to help scale and productionise machine learning solutions. You’ll be responsible for building robust deployment pipelines, improving model monitoring, and ensuring ML systems are reliable, secure, and performant in production.
Key Responsibilities
- Build and maintain ML deployment pipelines.
- Develop CI/CD processes for machine learning models.
- Implement model monitoring, observability, and alerting.
- Manage cloud-based infrastructure and containerised environments.
- Collaborate with Data Scientists and Engineers to productionise models.
- Improve platform scalability, reliability, and automation.
Key Skills
- Strong Python experience.
- MLOps tooling (MLflow, Kubeflow, SageMaker, or similar).
- Docker and Kubernetes.
- CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps).
- Cloud platforms (AWS, Azure, or GCP).
- Infrastructure as Code (Terraform preferred).
- Monitoring tools such as Prometheus or Grafana.
Contract: 3 Months | £600/day Outside IR35
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Contract Machine Learning Engineer – Outside IR35
London
£500 - £600
+ Data Science & AI
ContractLondon
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Rate: £600 per day (Outside IR35)
Contract Length: 3 Months
Location: Hybrid / Remote
An opportunity for an experienced Machine Learning Engineer to join a growing data team delivering innovative ML solutions. You’ll work closely with stakeholders to develop, deploy, and optimise machine learning models that drive business outcomes.
Key Responsibilities
- Design, build, and deploy machine learning models.
- Develop scalable data and feature engineering pipelines.
- Optimise model performance and production readiness.
- Work with large datasets to solve complex business challenges.
- Collaborate with Data Scientists, Engineers, and Product teams.
- Support model testing, validation, and deployment.
Key Skills
- Strong Python and SQL skills.
- Experience building and deploying ML models in production.
- Hands-on knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
- Data engineering and pipeline development experience.
- Cloud experience (AWS, Azure, or GCP).
- Strong understanding of software engineering best practices.
- Experience working in agile environments.
Contract: 3 Months | £600/day Outside IR35
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AI Engineer
London
£130000 - £160000
+ Data Science & AI
PermanentLondon
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AI Engineer
London (Hybrid/In-Office) | £130,000 – £160,000
This is an opportunity to join a high-calibre engineering team building production-grade AI systems that solve complex, real-world business challenges. You’ll work on cutting-edge LLM applications, agentic workflows, retrieval systems, and AI infrastructure, with the chance to influence technical direction and contribute to a fast-growing product at the forefront of applied artificial intelligence.
The Company
They are a rapidly growing technology business developing AI-powered solutions that help organisations unlock value from complex, data-rich environments. Their platform combines advanced machine learning, large language models, and workflow automation to support critical decision-making processes.
The Role
- Build and deploy agentic AI workflows using tools such as LangGraph and LangChain.
- Design and optimise RAG pipelines, including vector search, embeddings, and retrieval strategies.
- Develop LLM-powered applications for document intelligence, classification, extraction, and reasoning.
- Create evaluation frameworks and observability tooling to monitor AI performance, quality, and cost.
- Engineer scalable backend services using Python, FastAPI, cloud technologies, and modern software engineering practices.
Your Skills & Experience
- Strong commercial experience developing software and AI applications in Python.
- Hands-on experience building and deploying LLM, generative AI, or machine learning systems in production.
- Expertise with LangGraph, LangChain, or similar orchestration frameworks.
- Experience designing and improving RAG architectures and vector database solutions.
- Knowledge of AI evaluation, observability, and cloud-based software engineering best practices.
How to Apply
If you’re an AI/ML Engineer looking to work on advanced AI products and tackle complex technical challenges, apply today to find out more about this opportunity.
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Senior data engineer
€70000 - €90000
+ Data Engineering
PermanentPoland
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Senior Data Engineer | Microsoft Fabric !
Location: Poland / Remote (Europe) | Salary: €70,000 – €90,000 + Benefits
This is an opportunity to play a key role in a large-scale global data transformation programme within a complex manufacturing environment. You’ll help build and scale a modern Microsoft Fabric platform from the ground up, working on enterprise-grade data engineering challenges that span multiple regions, business units, and technology ecosystems.
The Company
They are a global manufacturing organisation with operations across multiple continents and a workforce of more than 20,000 employees. The business delivers highly customised products at scale, generating significant data volumes across a diverse technology landscape.
As part of a wider Finance and Data & Analytics transformation, they are investing heavily in modern data platforms, analytics capabilities, and enterprise data management. Their teams are distributed globally, with strong collaboration across Europe, Asia, and North America.
The Role
As a Senior Data Engineer (Microsoft Fabric), you will be responsible for designing, building, and supporting a centralised data platform that brings together data from multiple business systems into a modern Microsoft Fabric environment.
Key responsibilities include:
- Designing and developing scalable data solutions using Microsoft Fabric and Lakehouse architecture
- Building and maintaining Medallion architecture data models across Bronze, Silver, and Gold layers
- Developing robust SQL and T-SQL based data pipelines for large-scale enterprise datasets
- Integrating data from multiple source systems into a centralised analytics platform
- Implementing data quality, reconciliation, validation, and governance processes
- Supporting production environments, troubleshooting data issues, and ensuring platform reliability
- Driving DevOps best practices, including Git-based version control, CI/CD pipelines, automated testing, and deployment processes
- Collaborating with technical and business stakeholders across Finance, Analytics, and Technology teams
- Contributing to platform architecture and engineering standards as the data platform continues to scale
This is a hands-on backend engineering role focused on platform development, data integration, and operational excellence. It is not a Power BI development or dashboard-focused position.
Your Skills & Experience
You will bring:
- Strong experience as a Data Engineer within large, complex organisations
- Proven expertise delivering solutions in Microsoft Fabric production environments
- Strong SQL and T-SQL development skills
- Experience building and maintaining Lakehouse and Medallion architecture solutions
- Strong understanding of enterprise data integration and large-scale data platforms
- Experience implementing DevOps practices, including Git, CI/CD, automated testing, and deployment automation
- Experience supporting live production platforms and resolving operational issues
- Understanding of infrastructure, platform engineering, or data platform operations
- Strong stakeholder management and communication skills, with experience working across global teams
- Exposure to Azure data technologies and cloud-based data ecosystems
Highly desirable:
- Experience delivering transformation programmes or building data platforms from scratch
- Experience within manufacturing, supply chain, finance, or other data-intensive environments
- Familiarity with infrastructure-as-code approaches and platform automation
What They Offer
- Salary of €70,000 – €90,000 depending on experience
- Fully remote working across Europe
- Preference for candidates based in Poland or Eastern Europe, with flexibility across European time zones
- Opportunity to work on a high-profile global transformation programme
- Exposure to senior stakeholders across an international organisation
- Long-term career progression within a growing data and analytics function
- Collaborative, international engineering environment
- Approximately 3-4 business trips per year for team and project meetings
The organisation’s preference is to hire on a permanent basis. Exceptional Microsoft Fabric specialists who initially prefer contract engagement may also be considered with a view to transitioning into a permanent role.
How to Apply
If you’re a Senior Data Engineer with strong Microsoft Fabric, SQL, and DevOps experience and are looking to build a modern enterprise data platform at global scale, apply today to learn more about this opportunity.
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Senior Data engineer
Amsterdam
€80000 - €93000
+ Data Engineering
PermanentAmsterdam, North Holland
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Senior Data Engineer
Amsterdam | Up to €93,000 base salary + bonus and benefits
Azure | Databricks
This is an opportunity to join a growing data function where you’ll have genuine ownership across the full data lifecycle. Rather than focusing solely on pipeline engineering, you’ll design solutions, work directly with business stakeholders, and help shape how data and AI-powered applications integrate into the wider product landscape. Based on the job specification and hiring brief, the role combines data engineering, solution design, cloud infrastructure, and application development responsibilities.
The Company
They are a forward-thinking organisation investing heavily in data, analytics, and AI capabilities. Their data team works closely with business stakeholders to deliver impactful solutions that improve accessibility, quality, and usability of data across the organisation. This role sits within a collaborative environment where technical expertise and commercial thinking are equally valued. You will have the opportunity to influence architecture decisions and help define best practices for data and AI solutions.
The Role
As a Senior Data Engineer, you will play a key role in designing, building, and maintaining modern data platforms and AI-enabling infrastructure.
Responsibilities include:
- Designing end-to-end data solutions in partnership with business stakeholders
- Building and maintaining scalable data pipelines, ETL processes, and cloud-based data platforms
- Developing and optimising data models to improve accessibility, performance, and quality
- Managing and enhancing Azure-based infrastructure and Databricks environments
- Integrating new data sources and connecting solutions into broader business applications
- Supporting the development of AI tooling and the underlying data infrastructure
- Building and maintaining business-critical applications and services
- Working with APIs and application integrations across the wider technology ecosystem
- Monitoring platform performance, availability, costs, and system health
- Providing technical guidance and mentoring to less experienced team members
- Collaborating with IT and technology teams to ensure scalable and sustainable solutions
- Taking ownership of solution design from initial concept through to deployment and support
Your Skills & Experience
- Strong commercial experience with Azure and Databricks
- Expertise in data engineering, ETL development, and data pipeline architecture
- Advanced SQL skills and strong data modelling capability
- Experience working with cloud infrastructure, platform engineering, or DevOps practices
- Ability to design solutions and translate business requirements into technical implementations
- Experience building applications, services, or API-driven integrations
- Strong understanding of data platform architecture and modern data ecosystems
- Comfortable working directly with business stakeholders without a dedicated Business Analyst layer
- Programming experience with Python and data-focused technologies
- Ability to balance hands-on delivery with strategic solution design
What They Offer
- Salary up to €93,000
- Guaranteed annual bonus
- Additional discretionary bonus opportunity
- Competitive benefits package
- High level of autonomy and ownership
- Exposure to AI, cloud, and modern data platform initiatives
- Opportunity to influence architecture, tooling, and technical direction
- Clear scope for progression within a growing data function
How to Apply
If you’re a Senior Data Engineer who enjoys combining data engineering, cloud infrastructure, solution design, and stakeholder engagement, please apply today to learn more about this opportunity.
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Front End Engineer
London
£70000 - £80000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
FRONT-END ENGINEER
UP TO £80,000
LONDON
This is an exciting opportunity to join an early-stage technology business where AI sits at the heart of product development and innovation. You’ll play a key role in shaping a product from the ground up, working across the full technology stack and helping to deliver AI-powered capabilities that solve complex real-world problems.
THE COMPANY
Our client is a technology-driven organisation focused on developing software solutions that help businesses manage complex workflows, data, and decision-making processes. They operate in a collaborative, fast-paced environment where engineering, product, and business teams work closely together to deliver high-impact solutions. They offer the opportunity to work on technically challenging projects while contributing to the evolution of a rapidly growing product.
THE ROLE
Responsibilities include but are not limited to:
- Build intuitive, high-performance user interfaces used daily across complex workflows and decision-making processes.
- Develop data-rich dashboards, document management experiences, and AI-powered features that simplify complex information and processes.
- Translate sophisticated AI and automation workflows into responsive, user-friendly experiences.
- Collaborate closely with product, design, and engineering teams to deliver scalable front-end solutions that balance usability, performance, and functionality.
- Drive front-end best practices across architecture, testing, accessibility, performance optimisation, and security.
YOUR SKILLS AND EXPERIENCE:
- Strong React and Typescript is essential, with React Native experience being highly desirable
- Experience developing complex, data-heavy enterprise applications with a focus on usability and performance.
- Strong understanding of state management, component architecture, front-end testing, and application security.
- Regular use of AI-assisted development tools such as Cursor, Claude Code, or similar productivity tools.
SALARY AND BENEFITS
- Up to £80,000 base salary
- Contributory pension scheme
- Bonus
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link
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FULL STACK ENGINEER
London
£70000 - £80000
+ Data Engineering
PermanentLondon
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FULL STACK ENGINEER
UP TO £80,000
LONDON
This is an exciting opportunity to join an early-stage technology business where AI sits at the heart of product development and innovation. You’ll play a key role in shaping a product from the ground up, working across the full technology stack and helping to deliver AI-powered capabilities that solve complex real-world problems.
THE COMPANY
Our client is a technology-driven organisation focused on developing software solutions that help businesses manage complex workflows, data, and decision-making processes. They operate in a collaborative, fast-paced environment where engineering, product, and business teams work closely together to deliver high-impact solutions. They offer the opportunity to work on technically challenging projects while contributing to the evolution of a rapidly growing product.
THE ROLE
Responsibilities include but are not limited to:
- Build and ship product features end-to-end across the frontend, backend, and database layers.
- Develop modern user interfaces using React and TypeScript, delivering intuitive user experiences.
- Design, build, and maintain scalable backend services using Python and modern frameworks.
- Contribute to architecture decisions, engineering standards, and technical roadmaps.
- Work with AWS, CI/CD pipelines, and containerised environments to support reliable deployments.
- Integrate AI-powered capabilities into the platform, ensuring outputs are transparent, reliable, and valuable to users.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience delivering full-stack applications in production environments.
- Strong React and TypeScript is essential.
- Strong Python experience, ideally with FastAPI or Django.
- Experience working with PostgreSQL, SQL, and data modelling.
- Knowledge of AWS or similar cloud platforms, CI/CD practices, and container technologies.
- Experience designing secure applications, including authentication, authorisation, and multi-tenant architectures.
- Comfortable owning features from concept through to deployment and contributing to technical decision-making.
SALARY AND BENEFITS
- Up to £80,000 base salary
- Contributory pension scheme
- Bonus
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link
To Apply for this Job Click Here
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