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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

How could YOU make an impact on some of the biggest skyline projects in the world?

I'm currently speaking with a globally-established company, and they're looking for a Senior Data Engineering Manager to lead 3 separate Data Engineering teams.

This role is significant to making an impact on covering over 1,100 operations that have delivered some of the most iconic and complex structures across the globe. And whilst it does require someone from a Data Engineering background, this is really a hands-off role in which you'll be leaning in to strategy, people-management and technical judgement.

The role is paying up to £120k as a base salary, with a discretionary bonus of up to 10% alongside that. My client prioritise work life balance more than anything, as they find efficiency in production comes from a happy and healthy workforce. The team is tight-knit, which is something they want to maintain and have achieved through pushing for everyone in the team to be required to be in office 3 days a week.

Key Skills & Experience:

- Led data engineering teams and multiple delivery squads.
- Experience with Databricks, Azure, and service operations.
- Proven ability managing vendors and ensuring delivery quality.
- Solid understanding of data governance and compliance standards.
- Expertise in ETL Processes and Data Warehousing.

This is a great opportunity to progress into higher-level roles, so if you or someone you know are interested, get in touch, as interview processes have already started!
j.marchant@tenthrevolution.com

Senior engineering manager - Hybrid role in Data & Digital Platforms - £110k

A large, globally distributed organisation is looking for a Senior Engineering Manager to lead multiple data and digital engineering teams responsible for delivering critical platforms and products across the business.

This is a senior leadership position, centred around delivery outcomes, operational excellence and people leadership, rather than hands-on development. You will define and uphold engineering standards, enable consistent and predictable delivery, develop engineering capability, and lead both internal and vendor teams across a modern Microsoft and cloud technology environment.

Key Responsibilities:

* Lead globally distributed engineering teams across data platforms and low-code tools.
* Create delivery rhythms, sprint discipline and engineering standards.
* Develop leads by coaching, feedback and capability uplift.
* Oversee vendor delivery, ensuring quality, value and alignment to standards.
* Support delivery across platforms including cloud data, workflow and collaboration tools.

Skills & Experience:

* Extensive experience leading multi-disciplinary engineering teams.
* Proven delivery leadership across multiple squads in complex environments.
* Strong understanding of modern data and platform ecosystems.
* Ability to build, scale and high-performing engineering functions.

IT Infrastructure:

* Cloud data platforms (e.g. Databricks, Azure)
* DevOps
* Agile delivery tooling

What they offer:

* Competitive bonus
* Private medical cover and high-end wellbeing support
* Flexible working approach
* Significant scope to shape engineering platforms

Data Engineer - Newcastle upon Tyne (Hybrid- 3 days onsite) - SQL, Airflow, Python, Power BI - Future Microsoft Fabric Transformation Project - Up to £55,000

Are you a Data Engineer looking for an opportunity where you can influence the direction of a growing data platform rather than simply maintain existing processes?

We're working with a technology-driven organisation investing heavily in its data capabilities and embarking on an exciting data transformation journey. This role offers the chance to work hands-on with Azure SQL, Airflow, Python and Power BI while playing a key role in the organisation's future migration to Microsoft Fabric.

You'll join a small, highly visible team where your contributions will directly influence business decisions, platform development and the future data strategy. This is an opportunity to take ownership of projects, contribute to architectural decisions and help shape the next generation of the company's data environment.

For candidates looking to expand their cloud data expertise and gain commercial exposure to one of Microsoft's fastest-growing data platforms, this is a fantastic opportunity.

You Will Work With

* Designing, building and maintaining scalable data pipelines.
* Developing ETL/ELT processes to ingest and transform data from multiple sources.
* Apache Airflow for workflow orchestration, scheduling and automation.
* Azure SQL and cloud-based data platforms.
* Data modelling, warehousing and optimisation activities.
* Data quality, governance and validation processes.
* Power BI reporting and business intelligence requirements.
* Technical and non-technical stakeholders across the business.
* Helping shape and deliver the migration to Microsoft Fabric.
* Ad-hoc data analysis and reporting requests to support business decision-making.
* Driving improvements across the data platform and contributing to future architecture discussions.

Benefits

* Salary up to £55,000.
* Hybrid working model (3 days per week in the Newcastle office).
* Play a key role in an exciting Microsoft Fabric transformation programme.
* Opportunity to help shape a growing data function.
* Varied, hands-on role with significant ownership and autonomy.
* Join a collaborative team where your ideas and contributions are valued.
* Ongoing learning and development opportunities.
* Exposure to modern cloud-based technologies and best practices.
* Clear opportunity to make a visible impact across the organisation.
* Excellent opportunity for a Data Engineer looking to develop towards a more senior position over time.

Key Experience

* Previous experience in a Data Engineer, ETL Developer or similar role.
* Strong SQL skills, ideally within Azure SQL or SQL Server environments.
* Experience building, maintaining and optimising data pipelines.
* Knowledge of ETL/ELT development and data integration.
* Python scripting for automation, transformation and data engineering tasks.
* Experience with Apache Airflow or similar orchestration tools.
* Understanding of data warehousing and data modelling principles, including dimensional modelling.
* Experience working with cloud-based data platforms.
* Familiarity with Git and version control practices.
* Strong communication skills and the ability to work closely with technical and business stakeholders.
* Adaptable, proactive and comfortable working within a small, collaborative team environment.

Interview Process

* Stage 1: 30-minute Teams interview.
* Final Stage: Face-to-face interview, including a short document review exercise.

A streamlined interview process with prompt feedback throughout.

If you're looking for a role where you can influence a growing data platform, work with modern Azure technologies and gain hands-on experience with a major Microsoft Fabric transformation.

Apply now! Interviews are already underway, and the hiring team is keen to move quickly for the right candidate.

Data & AI Delivery Specialist - London (Hybrid) - Data Transformation - AI Programmes - Azure, AWS & GCP - Multiple Levels Available - Up to £75,000

Our client is an established professional services and technology business helping organisations solve complex data, digital and operational challenges. Following continued growth and investment, they are expanding their London-based Data & AI capability and are looking to hire talented professionals across multiple experience levels.

You'll join a collaborative and high-performing team delivering large-scale transformation programmes that help organisations improve decision-making, modernise data capabilities and unlock value through analytics and AI. The business is known for investing heavily in its people, providing genuine progression opportunities, exposure to modern technologies and the chance to work on high-profile programmes across a variety of industries.

Whether you're looking to build upon your consulting experience, lead major workstreams or take ownership of complex client engagements, this is an excellent opportunity to accelerate your career within one of the fastest-growing areas of technology.

You Will Work With

* Delivering large-scale Data, Analytics and AI transformation programmes
* Engaging with senior business and technology stakeholders to understand challenges and define solutions
* Translating business requirements into practical data and technology strategies
* Designing and implementing modern data platforms, pipelines and analytical solutions
* Supporting the development of scalable cloud-based data ecosystems using Azure, AWS or GCP
* Data strategy, operating models and transformation roadmaps
* Data governance, data quality and wider data management initiatives
* AI and machine learning use cases that support business growth and innovation
* Programme governance, planning, risk management and delivery activities
* Cross-functional teams including Architects, Engineers, Data Scientists and Business Analysts
* Agile delivery methodologies and best practices
* Business development, proposal support and client engagement activities
* Mentoring and supporting less experienced colleagues where appropriate
* Identifying opportunities to introduce innovative approaches, technologies and solutions

Benefits

* Salary up to £75,000
* Hybrid working model
* Clear career progression opportunities
* Ongoing training, certifications and professional development
* Exposure to large-scale transformation programmes
* Access to modern cloud, data and AI technologies
* Opportunity to work across multiple sectors and industries
* Collaborative and supportive culture
* Competitive pension and benefits package
* Flexible working environment

Key Experience

* Experience delivering Data, Analytics, AI or Digital Transformation initiatives
* Strong stakeholder management, communication and presentation skills
* Experience in project, programme or transformation delivery environments
* Understanding of data management, data governance and data quality concepts
* Knowledge of analytics, reporting and AI solutions
* Understanding of data modelling and data architecture principles
* Experience working with modern data platforms and cloud technologies including Azure, AWS or GCP
* Exposure to data pipelines, data warehouses and analytical ecosystems
* Familiarity with SQL, Python or similar technologies used for data analysis and automation
* Experience working within Agile delivery environments
* Strong analytical and problem-solving skills
* Ability to translate complex business challenges into practical, data-driven solutions
* Consulting, advisory or client-facing experience is highly beneficial

Apply Now

If you're looking to work on complex data and AI transformation programmes whilst developing your career within a growing and innovative team, we'd love to hear from you.

This is an opportunity to join a business that is investing heavily in Data, Analytics and AI, offering exposure to high-profile projects, modern technologies and genuine career progression.

Apply now or send your CV directly. Interviews are being arranged and early applications are encouraged.

Our client is looking for an experienced Network Engineer to join its IT Infrastructure team. This role is responsible for maintaining and enhancing enterprise network services, ensuring high availability, strong security, and reliable connectivity across the organisation.

Key Responsibilities

* Provide day-to-day support and administration of the organisation's enterprise network infrastructure.
* Investigate, troubleshoot, and resolve network-related incidents involving firewalls, switches, wireless networks, and other connectivity technologies.
* Participate in infrastructure enhancement initiatives, including technology upgrades, migration activities, and continuous improvement projects.
* Maintain and strengthen network security by implementing best practices, standards, and operational procedures.
* Monitor the health, performance, and capacity of network systems to ensure optimal availability and reliability.
* Configure, maintain, and support network security technologies, including firewalls, switching environments, wireless infrastructure, and security monitoring solutions.
* Work closely with internal stakeholders, external vendors, and service providers to deliver infrastructure projects and operational improvements.
* Prepare and maintain technical documentation relating to network architecture, configurations, and operating procedures.
* Support additional infrastructure-related tasks and projects as required.

Requirements

* Bachelor's degree or above in Computer Science, Information Technology, or a related discipline.
* Minimum 5 years of experience in IT Infrastructure, with at least 3 years specialising in enterprise networking.
* Professional networking certification such as CCNA or an equivalent certification from a recognised networking vendor.
* Solid hands-on experience supporting enterprise network environments, including routing, switching, wireless networking, and firewall technologies.
* Experience delivering infrastructure implementation projects or supporting enterprise network operations within a corporate environment.
* Good understanding of TCP/IP, LAN/WAN, VLAN, VPN, routing, switching, wireless technologies, and network security principles.
* Familiarity with network monitoring and security management tools would be an advantage.
* Strong analytical and troubleshooting skills with the ability to work independently.
* Good communication skills in both English and Chinese. Mandarin is an added advantage.

What's on Offer

* Opportunity to join a well-established organisation with a stable IT environment.
* Exposure to enterprise-scale network infrastructure and technology transformation initiatives.
* Collaborative working environment with opportunities to further develop technical expertise and career progression.

Data Engineer

Location: South Darenth, Kent (Hybrid)
Salary: £50,000 + Benefits

Brigade Electronics is seeking a Data Engineer to join our IT team and support the development of our data platform, integrations, and reporting capabilities.

Responsibilities

*

Build and maintain ETL/ELT pipelines.
*

Develop and optimise SQL databases and data models.
*

Integrate data from ERP, CRM, telematics, and other business systems.
*

Support Power BI reporting and analytics.
*

Ensure data quality, security, and performance.

Skills & Experience

*

3+ years' experience in a Data Engineering role.
*

Strong SQL and database development skills.
*

Experience with Azure Data Factory and Azure SQL.
*

Python for data processing and automation.
*

Experience with APIs and data integrations.
*

Knowledge of Power BI and data warehousing principles.

Tech Stack

Azure Data Factory, Azure SQL, SQL Server, Python, Power BI, REST APIs, Git.

Brigade Electronics offers a competitive salary, hybrid working, and the opportunity to work with modern cloud data technologies in a growing global business.

Data Engineer
Up to £60,000 - 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 play a key role in designing, building and optimising modern enterprise data platforms. This is an excellent opportunity to join a highly skilled team working on complex data transformation programmes, helping organisations unlock greater value from their data and accelerate their analytics and AI capabilities.

Working closely with business stakeholders, architects, data specialists and technology teams, you will be responsible for delivering scalable, cloud-based data solutions that support critical business objectives. This role would suit an experienced Data Engineer who enjoys leading technical initiatives, solving complex data challenges and working with modern cloud technologies in a client-focused environment.

Key Responsibilities

* Design, develop and maintain robust ETL processes, data pipelines and data integration solutions across complex environments
* Build and optimise cloud-based data platforms, ensuring scalability, performance and reliability
* Develop and maintain enterprise-scale data models to support reporting, advanced analytics and AI initiatives
* Collaborate with business stakeholders and technical teams to gather requirements and translate them into effective data solutions
* Drive best practices around data quality, governance, security and operational excellence
* Support large-scale data migration and transformation programmes across multiple systems and platforms
* Mentor and support junior team members where appropriate

Skills & Experience

* Proven experience working as a Data Engineer within a Data & Analytics, technology or consulting environment
* Strong hands-on experience designing and building complex ETL processes and data pipelines
* Experience working with cloud-based data platforms such as Azure, AWS or GCP
* Advanced SQL skills with the ability to work across large, complex datasets
* Strong Python skills for data engineering, automation and data processing
* Good understanding of data warehousing, data modelling and modern data architecture principles

What's on Offer

* Salary of up to £60,000
* Performance-related bonus scheme
* Hybrid working model - up to 3 days per week in office
* 25 days annual leave plus bank holidays, with the option to buy additional days
* Private medical insurance
* Access to modern cloud, data and AI technologies
* Structured training, certifications and ongoing professional development

AI Engineer
Up to £150,000 - London (Hybrid Working)

We are partnering with a leading specialist insurance broker that is investing heavily in its artificial intelligence capabilities to transform how it operates and delivers value to its clients. As part of an ambitious AI strategy, the organisation is seeking an AI Engineer to play a key role in designing, developing and deploying innovative AI-powered solutions across the business.

This is a unique opportunity to join a forward-thinking technology team at the forefront of AI adoption within the insurance sector. You will be responsible for building intelligent applications, AI agents and automation solutions that enhance decision-making, improve operational efficiency and unlock greater value from enterprise data.

This role would suit a technically strong AI Engineer who enjoys working with emerging technologies, solving complex business challenges and delivering solutions at scale.

Key Responsibilities

* Design, develop and deploy AI-powered applications, agents and intelligent workflows
* Build clean, maintainable and scalable code to support the delivery of enterprise AI solutions
* Develop end-to-end solutions that integrate with internal systems, enterprise platforms and data sources
* Apply prompt engineering techniques and support model evaluation, testing and optimisation activities
* Ensure AI solutions adhere to established security, governance and responsible AI standards
* Design and orchestrate AI-driven workflows to automate business processes and enhance decision-making

Skills & Experience

* Experience building scalable and maintainable applications
* Experience developing and deploying AI, machine learning or generative AI solutions into production environments
* Knowledge of prompt engineering, model evaluation and AI application development best practices
* Strong Python development experience and familiarity with modern frameworks and tooling
* Experience integrating APIs, enterprise applications and multiple data sources
* Experience working within highly regulated environments such as financial services or insurance

What's on Offer

* Salary of up to £150,000
* Performance-related bonus scheme
* Hybrid working model with flexible working arrangements
* Private medical insurance
* Competitive pension contribution
* Opportunity to shape and deliver an ambitious AI strategy within a leading specialist insurance broker
* Exposure to high-impact AI initiatives with direct visibility across the business

**Take the lead on meaningful, high-impact projects as a Senior Data Engineer.**

We are seeking a Senior Data Engineer to join a growing organisation based in London, offering a hybrid work model. This role is perfect for someone who is passionate about data and wants to contribute to the development of a modern data platform. You will work with cloud technologies and large-scale datasets, helping to build robust ETL/ELT pipelines and analytics-ready data solutions. Collaborate with Data Scientists and Engineers while also gaining exposure to AI and Machine Learning initiatives.

**Key skills required for this role include:**

- Proficiency in Databricks and experience with Medallion Architecture.
- Strong programming skills in Python and SQL.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Snowflake and experience with Spark/PySpark.
- Experience in designing and implementing modern data platform engineering solutions.

If you are ready to make an impact within a dynamic team and possess the relevant skills and experience, we encourage you to apply for this permanent Senior Data Engineer position. Your expertise will help shape the future of data-driven decision-making in this innovative organisation.

LEGAL DISCLAIMER: This is not necessarily a job advertisement or posting; but may be an example of the many roles of this type that we regularly recruit for. Actual number of job vacancies and roles are subject to change