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Data Engineer
£50,000 - Dartford - Hybrid (3 days onsite)

We are partnering with a leading international technology organisation that develops innovative solutions used across commercial and industrial sectors worldwide. As part of continued investment in technology and data capabilities, the business is seeking a Data Engineer to join its internal IT team.

This is an exciting opportunity for a data-focused professional to play a key role in developing and maintaining the organisation's Business Intelligence and data platform. You will be responsible for designing and optimising data pipelines, ensuring data quality and supporting the reporting and analytics capabilities that support business-critical decision-making.

Working closely with stakeholders across the business, you will develop scalable data solutions and contribute to the ongoing transformation of the organisations data estate. This role would suit a Data Engineer who enjoys working across the full data lifecycle and thrives in a collaborative environment where data is central to operational success.

Key Responsibilities
* Design, develop and maintain ETL processes, data pipelines and data integration solutions
* Create and optimise data models to support reporting, analytics and business performance measurement
* Collaborate with business users to gather requirements and translate them into scalable data solutions
* Ensure data integrity, governance and quality across the Business Intelligence environment
* Support the ongoing development and optimisation of the organisation's reporting and analytics platform
* Maintain technical documentation, processes and data architecture standards

Skills & Experience
* Proven experience working in a Data Engineer, BI Engineer or Data & Analytics role
* Strong experience designing and building data solutions using Microsoft Azure technologies including Azure Data Factory, Azure Synapse Analytics or Fabric
* Strong experience designing and supporting ETL processes and data pipelines
* Advanced SQL skills with experience in querying, transforming and manipulating large datasets
* Knowledge of Python for automation, data processing or analytics
* Strong understanding of data warehousing and reporting best practices
* Experience working with multiple data sources and business-critical systems

What's on Offer
* Salary of up to £50,000
* Hybrid working model
* Opportunity to join a growing international technology organisation
* Exposure to a broad range of Data Engineering, Business Intelligence and Analytics projects
* Ability to influence the development of the organisation's data and reporting capabilities
* Collaborative and supportive team environment with excellent career progression opportunities

AI & Machine Learning Engineer - Multiple Levels Available

London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000

Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London.

This is an opportunity to work on cutting-edge AI solutions, develop enterprise-scale machine learning applications and collaborate with highly skilled technical professionals delivering innovative outcomes for a range of organisations.

Whether you're looking to deepen your technical expertise or take on greater ownership and leadership responsibilities, this role offers exceptional development opportunities and clear career progression.

You Will Work With

* Building and deploying AI and Machine Learning solutions
* Designing and implementing end-to-end AI and ML pipelines, from data acquisition and feature engineering through to deployment and optimisation
* Developing scalable ML pipelines and engineering frameworks
* AI model training, evaluation, optimisation and deployment
* Cloud-native AI and data platforms across Azure, AWS and GCP
* MLOps tools and best practices for deployment, monitoring and governance
* Structured and unstructured datasets
* Generative AI and advanced analytics solutions
* Designing and maintaining scalable data pipelines, datasets and workflows
* Collaborating directly with client stakeholders to understand business challenges and translate requirements into AI solutions
* Working closely with technical and non-technical teams throughout programme delivery
* Cross-functional engineering, architecture and data teams
* Agile software development and delivery methodologies
* Exploring and adopting emerging AI technologies and approaches to drive innovation and business value

Benefits

* Salary up to £75,000
* Hybrid and flexible working arrangements
* Access to cutting-edge AI projects
* Professional certifications and ongoing training
* Structured career progression opportunities
* Exposure to modern technologies and large-scale programmes
* Supportive and collaborative culture
* Opportunity to work across a variety of industries
* Competitive benefits package

Key Experience

* Experience building and deploying AI or Machine Learning solutions in a commercial environment
* Strong Python and SQL skills
* Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks
* Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices
* Experience with Azure, AWS or GCP cloud environments
* Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows
* Experience working with structured and unstructured data
* Understanding of MLOps tooling and best practices
* Knowledge of data governance, security and compliance principles within AI and data environments
* Strong analytical and problem-solving ability
* Experience working within Agile delivery environments
* Ability to work closely with stakeholders and translate business requirements into effective AI solutions

Desirable

* Generative AI experience
* Large Language Models (LLMs)
* LangChain or similar frameworks
* Spark, Hadoop or other big data technologies
* Experience with distributed computing, streaming platforms or workflow orchestration tools
* Experience monitoring and optimising model performance in production environments

Apply Now

If you want to work at the forefront of AI innovation and contribute to impactful projects that solve real business problems, we'd love to hear from you.

This is an excellent opportunity to join a growing team delivering innovative AI solutions while developing your technical expertise and career within a highly collaborative environment.

Apply now or send your CV directly. Shortlisting is underway and applications are being reviewed immediately.

Data Engineer

Location: London (Hybrid)
Salary: Up to £75,000 + Bonus + Benefits
Technology: SQL, Python, Spark - Azure, AWS, GCP - ETL/ELT - Data Governance

The Opportunity

Are you a Data Engineer looking for an opportunity to work on large-scale data transformation programmes whilst helping shape enterprise-wide data strategy?

We're partnering with an organisation that is making significant investments in its data capabilities and digital transformation journey. Data sits at the heart of business decision-making, making this an excellent opportunity to join a company where your work will have genuine visibility and impact.

You'll join a collaborative, forward-thinking team delivering modern data solutions across data engineering, governance, migration, quality, metadata management and master data management initiatives. The business offers strong career progression, ongoing investment in technology and the opportunity to work with modern cloud platforms and tools.

Key Responsibilities

* Design, develop and deploy enterprise-wide data management solutions.
* Build and optimise ETL/ELT pipelines and automated data workflows.
* Deliver Data Quality programmes, including data profiling, cleansing, validation and monitoring.
* Lead and support complex Data Migration projects across multiple source and target systems.
* Define migration strategies, data mapping, transformation logic, validation and reconciliation processes.
* Implement and maintain Master Data Management (MDM) solutions and governance processes.
* Develop and manage metadata capabilities, including data catalogues, business glossaries and data lineage.
* Support Data Governance initiatives, ensuring data security, privacy and compliance standards are maintained.
* Work with large and complex datasets using SQL, Python, Spark, Hadoop and modern data technologies.
* Collaborate with technical and business stakeholders within Agile delivery environments.
* Support data architecture and data modelling activities across enterprise platforms.
* Utilise cloud-based data services across Azure, AWS and GCP environments.

Benefits

* Salary up to £75,000
* Annual bonus scheme
* Hybrid working
* Competitive pension contribution
* Learning and development budget
* Professional certification support
* Exposure to modern cloud and data technologies
* Clear career progression opportunities
* Collaborative and supportive working culture
* Opportunity to work on high-profile data transformation projects

Skills & Experience Required

* Proven experience delivering Data Engineering and Data Management solutions within enterprise environments.
* Strong experience designing and implementing Data Quality frameworks and programmes.
* Demonstrable experience delivering end-to-end Data Migration projects.
* Experience with Metadata Management, including data cataloguing, lineage and business glossary development.
* Hands-on experience implementing and managing Master Data Management (MDM) solutions.
* Strong SQL skills and proficiency in Python or similar programming languages.
* Experience with ETL/ELT tools, data warehousing and automated data pipelines.
* Knowledge of Spark, Hadoop or similar big data technologies.
* Strong understanding of Data Governance principles, policies, controls and data lifecycle management.
* Experience working within Agile delivery environments.
* Familiarity with dimensional and relational data modelling techniques.
* Understanding of data architecture principles and best practices.
* Experience with Azure, AWS or GCP data services would be advantageous.
* Excellent analytical, problem-solving and stakeholder management skills.

Apply Now

This is a fantastic opportunity to join a business where data is driving real change and innovation. If you're looking for a role where you can influence strategy, work with modern technologies and be part of a major data transformation programme, we'd love to hear from you.

Apply today or send your CV directly for immediate consideration. Interviews are being scheduled now, so early applications are strongly encouraged.

Data Engineer

Location: Newcastle upon Tyne
Salary: Up to £80,000

The Opportunity

We are seeking a Data Engineer to join a growing data team responsible for developing and maintaining a modern cloud-based data platform. This role offers the opportunity to work on large-scale data challenges, build robust data solutions and contribute to the continued evolution of the organisation's data capabilities.

The successful candidate will play a key role in designing, developing and optimising data pipelines that support reporting, analytics and business-critical decision-making. You will collaborate with a range of stakeholders to ensure data is accessible, reliable and delivered efficiently across the organisation.

Key Responsibilities

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Design, build and maintain scalable and reliable data pipelines.
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Develop and support ETL/ELT processes for ingesting and transforming data from multiple sources.
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Enhance and maintain cloud-based data infrastructure within AWS.
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Monitor, troubleshoot and optimise data workflows to ensure high performance and reliability.
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Implement best practices around data quality, governance and monitoring.
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Support the development of a centralised data platform and data architecture.
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Work closely with analysts, engineers and business stakeholders to understand data requirements and deliver solutions.
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Participate in code reviews and contribute to engineering standards and best practices.
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Identify opportunities to improve existing processes through automation and optimisation.
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Ensure data solutions are secure, scalable and aligned with business objectives.

Skills & Experience Required

Essential

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3-6 years' experience in Data Engineering or a related discipline.
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Strong programming experience with Python.
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Advanced SQL skills and experience working with large datasets.
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Hands-on experience with AWS services and cloud-based data platforms.
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Experience building and maintaining production-grade data pipelines.
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Experience using Airflow for workflow orchestration.
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Strong version control experience using Git.
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Understanding of data modelling principles and database design.
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Excellent problem-solving and analytical skills.
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Strong communication skills with the ability to engage technical and non-technical stakeholders.

Desirable

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Experience working with data lakes or modern data warehouse technologies.
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Exposure to Infrastructure as Code tools.
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Experience with CI/CD practices and automated deployment pipelines.
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Knowledge of data governance, monitoring and observability tools.
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Experience working within fast-paced, data-driven environments.

What's on Offer

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Salary up to £80,000.
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Opportunity to work with modern cloud and data technologies.
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Exposure to complex, high-impact data engineering challenges.
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Collaborative and highly skilled technical environment.
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Career development and progression opportunities.
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Hybrid working environment.
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Competitive benefits package.

If you are passionate about building reliable data platforms, solving complex engineering problems and delivering scalable data solutions, we would be interested in speaking with you.

Test Engineer - SQL, PowerApps, Data - London

I'm currently working with a internationally renowned organisation who are located at the heart of London. They are very well recognised for their work across the globe where they have delivered some of the most exciting and luxurious projects within their relative fields.
As an organisation, they are well established and have been in operation for over 100 years. This has brought stability, opportunity but also continued growth for the organisation where they continue to dominate their industry.

This role requires an experience Test Engineer. While the business is very well established, the testing environment is something in which they are looking to establish. Whilst this isn't completely greenfield, they are looking for someone to come in and take ownership across 3 key areas in PowerApps, Sharepoint and Data. Don't miss out on this opportunity where you will be given the platform to really take ownership of testing within a massively impressive organisation.

This is a salaried role which is paying up to £55k depending on experience. You will also be given a bonus which is descretionary and paid upon personal and company performance. That along side some other great benefits that also includes an opportunity to really develop your personal experience with a scope of venturing into leadership in the future.

What do you need to be successful in this role?

* Strong SQL skills for data validation and defect investigation, with the ability to troubleshoot issues effectively.
* Experience testing across PowerApps, Dataverse, SharePoint, APIs and platform workflows.
* Experience validating ADF pipelines, Databricks notebooks, Fabric datasets and reporting outputs.
* Ability to design test cases, structure test cycles and work with BAs to organise and execute test scenarios.
* Strong analytical and communication skills, with the ability to articulate issues clearly and concisely.

This is a unique opportunity for someone to work within a forward thinking organisation that will give you exposure to the latest technologies and some of the most exciting projects the market has to offer. Get in touch ASAP if you're interested.

Key Skills: Test, Automation Testing, Manual Testing, SQL, PowerApps, Dataverse, SharePoint, API's, Workflows, Databricks, ADF, Fabric, Azure, Microsoft, London

Our client is looking for an experienced Microsoft Cloud & Digital Workplace Specialist to join its IT Infrastructure team.This position will play a key role in shaping cloud infrastructure, digital workplace solutions, identity management, security, and AI enablement across a global business.

Key Responsibilities

* Design, implement, and continuously enhance enterprise Microsoft cloud and digital workplace solutions, ensuring scalability, security, and operational excellence.
* Drive architecture, integration, and governance across Microsoft technologies, including cloud infrastructure, collaboration, identity, security, automation, and AI-enabled solutions.
* Evaluate emerging technologies and recommend innovative solutions that improve business processes, productivity, and user experience.
* Define and maintain architecture standards, security best practices, and governance frameworks to ensure compliance and business continuity.
* Lead technical solution design, provide architectural guidance for complex projects, and mentor engineering teams on best practices.
* Collaborate with cross-functional stakeholders, regional teams, vendors, and business leaders to deliver technology initiatives aligned with organisational objectives.

Requirements

* Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
* At least 10 years of experience within enterprise IT, cloud infrastructure, digital workplace, or solution architecture.
* Minimum 5 years of hands-on experience designing and delivering Microsoft cloud and workplace solutions in a large-scale enterprise environment.
* Strong understanding of Microsoft cloud services, productivity platforms, identity management, security technologies, and enterprise collaboration solutions.
* Experience supporting AI-enabled workplace technologies or modern productivity initiatives would be highly advantageous.
* Knowledge of cloud security, identity governance, access management, information protection, and compliance best practices.
* Experience with workflow automation, low-code platforms, or business process optimisation is preferred.
* Good understanding of hybrid cloud environments, enterprise networking, monitoring, and infrastructure architecture.
* Experience with scripting or automation tools such as PowerShell, Python, or similar technologies.
* Strong analytical mindset with excellent problem-solving and stakeholder communication skills.
* Ability to communicate technical concepts effectively to both technical and non-technical audiences.
* Excellent written and spoken English. Cantonese and/or Mandarin would be advantageous for collaboration with regional stakeholders.


What's on Offer

* Join a global organisation undertaking large-scale cloud and digital transformation initiatives.
* Opportunity to influence enterprise architecture and future technology strategy.
* Exposure to modern Microsoft technologies, AI innovation, and enterprise-scale cloud environments.
* Collaborative working environment with strong career development opportunities.

Fabric Data Engineer
Up to £70,000 - West London (Hybrid - 1 Day Onsite)

We are partnering with a well-established international organisation operating within a sustainability-led sector that is investing heavily in its technology and data capabilities. As part of an ambitious digital transformation programme, the business is modernising its data estate, embracing cloud technologies to drive operational efficiency and support future growth.

As a Data Engineer, you will play a pivotal role in the design, development and optimisation of scalable data solutions, while supporting a major migration to Microsoft Fabric. Working with large and complex datasets, you will build robust data pipelines, optimise data processes and help deliver reliable, high-quality data that underpins critical business reporting and decision-making.

Joining a collaborative BI & Data team, you will work closely with analysts, stakeholders and technology teams across the organisation to deliver impactful data solutions. This opportunity is ideal for an experienced Data Engineer who enjoys hands-on development, solving complex data challenges and contributing to a forward-thinking data strategy within a fast-paced environment.

Key Responsibilities

* Design, build and maintain Microsoft Fabric pipelines, Lakehouses and end-to-end data solutions
* Develop, optimise and maintain SQL/T-SQL queries for efficient data processing and transformation
* Create and maintain scalable data models to support reporting, analytics and KPI measurement
* Monitor, troubleshoot and enhance data quality, platform performance and solution reliability
* Work collaboratively with business and technical stakeholders to deliver scalable, business-critical data solutions
* Contribute to the ongoing evolution of the organisation's modern data platform and architecture

Skills & Experience

* Proven experience working in a Data Engineering role delivering data solutions within complex environments
* Hands-on experience with Microsoft Fabric and modern cloud-based data platforms
* Strong background in ETL development, data integration and pipeline engineering
* Advanced SQL/T-SQL development skills
* Experience designing and implementing data models for reporting and analytical requirements
* Experience using Python and/or PySpark, particularly within Fabric Notebooks
* Exposure to Azure data technologies such as Azure Data Factory, Synapse Analytics or Data Lake

What's on Offer

* Salary up to £70,000
* Hybrid working model with 1 day per week onsite in West London
* Opportunity to work on a large-scale Microsoft Fabric transformation programme
* Opportunity to play a key role in shaping the organisation's future data strategy

Senior Data Engineer - Microsoft Fabric - London (Hybrid) - Up to £75,000

This is an exciting opportunity to join a well-established international organisation currently undergoing a major transformation of its data and reporting landscape.

With significant investment being made into Microsoft Fabric, data modernisation and automation, the business is looking for a Senior Data Engineer who can play a key role in shaping and delivering its next-generation data platform. You'll join a growing team at a pivotal stage, helping to build scalable data solutions while influencing best practice and future architecture decisions across the business.

This role would suit someone who is passionate about modern Microsoft data technologies and wants to work in an environment where Microsoft Fabric is central to the long-term data strategy.

You Will Work With

* Microsoft Fabric (Lakehouses, Data Pipelines, Notebooks and Dataflows)
* Designing and developing scalable ETL/ELT solutions
* Large-scale data migration and transformation projects
* SQL and T-SQL development
* Data modelling and data warehousing solutions
* Azure-based data services and integrations
* PySpark and Python within Fabric Notebooks
* Power BI reporting and analytics requirements
* Business and technical stakeholders across multiple departments
* AI, automation and continuous improvement initiatives

Benefits

* Salary up to £75,000 depending on experience
* Hybrid working model
* Opportunity to work on a major Microsoft Fabric transformation
* Exposure to AI and automation projects
* Ongoing training and development
* Clear progression opportunities within a growing data function
* Collaborative and supportive team environment
* Opportunity to influence future data strategy

Key Experience

Essential

* Strong experience as a Data Engineer in a Microsoft environment
* Hands-on experience with Microsoft Fabric
* Experience building and maintaining ETL/ELT pipelines
* Strong SQL/T-SQL skills
* Experience designing and developing scalable data solutions
* Data modelling and data warehouse experience
* Strong problem-solving and analytical skills
* Excellent stakeholder management and communication skills

Desirable

* PySpark and Python experience within Fabric Notebooks
* Azure Data Factory, Synapse Analytics or Azure Data Lake
* Power BI
* Data migration experience
* CI/CD and DevOps exposure
* AI/ML experience
* Microsoft Fabric certifications (DP-600)
* Azure Data Engineering certification (DP-203)

With Microsoft Fabric still being relatively new in the market, opportunities to join a business making this level of investment in the platform remain rare. If you're looking for a role where you can develop deep Fabric expertise while helping shape a modern data capability, we'd love to hear from you.

Apply now or send your CV directly for a confidential discussion.

Data Engineer
£50,000 - London (3 days in office)

We are partnering with a global consulting and technology services organisation that delivers large-scale digital, data and AI transformation programmes for enterprise clients across a range of industries.

Due to continued growth within its Data & Analytics practice, the organisation is looking to hire a Data Engineer to help design, build and optimise modern data platforms and solutions. This is an excellent opportunity to join a highly skilled team working on complex data transformation initiatives that enable organisations to make better, data-driven decisions.

Working closely with business stakeholders, data specialists and technology teams, you will play a key role in developing scalable data pipelines, supporting cloud-based data platforms and ensuring data is accessible, reliable and actionable. This role would suit a Data Engineer who enjoys solving complex challenges, working with modern cloud technologies and contributing to business-critical projects.

Key Responsibilities

* Design, develop and maintain ETL processes, data pipelines and data integration solutions
* Support the development and optimisation of cloud-based data platforms using cloud technologies
* Build and maintain scalable data models to support reporting, analytics and AI initiatives
* Work closely with stakeholders to gather requirements and translate them into effective technical solutions
* Ensure data quality, integrity and governance standards are maintained across data environments
* Support data migration and transformation projects across multiple systems and platforms

Skills & Experience

* Proven experience working as a Data Engineer or within a Data & Analytics environment
* Strong experience building and supporting ETL processes and data pipelines
* Knowledge of cloud-based data platforms
* Advanced SQL skills with experience querying, transforming and manipulating large datasets
* Experience with Python or similar programming languages for data processing and automation
* Understanding of data warehousing concepts and data modelling techniques

What's on Offer

* Salary of up to £50,000
* Performance related bonus scheme
* Hybrid working model - up to 3 days per week in office
* 25 days plus bank holidays including flexibility to buy additional days
* Private medical insurance
* Exposure to modern cloud, data and analytics technologies
* Structured training, learning and professional development opportunities

Data & AI Engineer - Hybrid role in Technology - Up to £45k

The Role

As a Data & AI Engineer, you'll design, build and maintain data pipelines, analytics platforms and AI-powered capabilities all linked to high-impact business use cases. You'll collaborate closely with analysts, engineers and stakeholders to turn requirements into reliable, production-ready solutions.

Key responsibilities:

* Designing and building scalable data pipelines, datasets, and data models
* Integrating data from multiple structured and unstructured sources
* Developing advanced analytics, machine learning and AI solutions where appropriate
* Building Generative AI solutions using large language models and prompt/context engineering
* Ensuring data quality, reliability, and performance through testing and monitoring
* Optimising data and model performance for scale and efficiency

Required Experience & Skills

* Proven experience in a Data Engineer, Data Developer, AI Engineer, or similar role
* Strong programming skills in Python and SQL
* Experience building and maintaining data pipelines
* Exposure to cloud data platforms, data warehouses, or big data technologies
* Strong analytical and problem-solving skills
* Ability to communicate technical concepts to non-technical stakeholders

Why Apply?

* Work on high-impact, enterprise-scale data and AI initiatives
* Gain exposure to a wide variety of industries and complex systems
* Be part of a cooperative, inclusive engineering culture
* Access structured career development, training and progression opportunities