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Location - Hybrid in Manchester, Northampton, Glasgow or London

Salary - £80000 - 100000 pa (depending on experience)

Sponsorship is not available for this role



We're seeking an experienced security professional to play a key role in protecting advanced data‑driven systems across a complex technology environment. This role focuses on safeguarding sensitive information, enhancing secure engineering practices, and shaping the security approach for emerging AI/ML capabilities.



What you'll be doing

* Designing and deploying controls that protect high‑value systems and data
* Developing protocols, tooling and automation to harden AI/ML pipelines and model‑driven services
* Managing secure handling of secrets, keys and identities
* Assessing emerging threats, conducting security reviews and analysing vulnerabilities
* Carrying out technical investigations, code reviews, and hands‑on testing of AI-related software



Essential skills & experience

* Strong scripting and programming (Python essential; Bash/Shell desirable)
* Proven experience with cloud platforms (AWS and/or Azure)
* Knowledge of API design and security (OAuth2, OIDC, JWT, etc.)
* Understanding of AI/ML concepts or a strong interest in building expertise in this area
* Experience in threat modelling, vulnerability assessment, or security testing
* Familiarity with secure development practices (e.g., DevSecOps, OWASP)
* Background in identity, access control or secrets/key management
* Ability to interpret complex technical problems and communicate clearly
* Positive collaborator able to influence stakeholders and guide others

Data Architect - Databricks - Hybrid

A leading Microsoft partnered consultancy is seeking an experienced Data Architect to design and deliver modern data solutions built on Databricks Lakehouse Architecture. You'll work with a variety of enterprise clients, helping them shape their data strategies, optimise their platforms, and unlock the full value of their data for analytics, AI, and business intelligence.

This role is based in Edinburgh, Manchester, or London with roughly one day per week in office.

About the Role

As a Data Architect, you will provide technical leadership and architectural expertise across end-to-end data programmes. You'll engage early with clients, assess their requirements, and design scalable, secure, high-performing architectures using Databricks and modern cloud technologies.



Key Responsibilities

* Architect and implement Databricks Lakehouse solutions covering ingestion, storage, processing, and analytics.
* Apply best practices to shape modern data platforms and guide clients on data strategy and governance.
* Build strong relationships with technical and business stakeholders, clearly communicating architectural decisions.
* Lead architectural engagements and ensure successful delivery of solutions on time, within scope, and to a high standard.
* Implement governance, security, and compliance controls
* Ensure data quality, lineage, and cataloguing using tools such as Unity Catalog and Microsoft Purview.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to internal best practices, reusable architecture patterns, and Proof of Concepts.



Experience Required:

* Deep expertise in delivering enterprise-scale data analytics solutions using Databricks.
* Strong background in designing Lakehouse Architectures for structured and unstructured data.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience exposing Lakehouse architectures to tools such as Power BI and Tableau.
* Hands-on experience in Databricks engineering: Spark, Delta Lake, PySpark.
* Skilled in building scalable ETL pipelines using Workflows and Delta Live Tables.
* Proficiency in Python, Scala, or SQL.
* Knowledge of Databricks security best practices.
* Strong communication and stakeholder management skills.



What's on Offer:

* Generous annual leave
* Private medical insurance
* Wellbeing support
* Guaranteed investment in career development and training
* A high-performance culture offering progression, challenge, and meaningful impact for clients
* And more

Cyber Security Consultant - Team Lead - North of England

My client is a well‑established and highly respected Managed Service Provider (MSP) seeking an experienced Cyber Security Team Leader to guide its growing security function. This role combines hands‑on cloud security expertise with team leadership, customer engagement, and contributions to the presales process.

The successful candidate will lead a dedicated security team, work directly with customers to strengthen their security posture, and support the design of security solutions that meet evolving business needs.

Key Responsibilities:

* Lead, mentor, and develop a multidisciplinary cyber security team.
* Oversee day‑to‑day operations, workload planning, and capability development.
* Promote a culture of growth, innovation, and exceptional service delivery.

* Provide expert, hands‑on support across cloud environments such as Microsoft 365, Azure, and AWS.
* Drive security service delivery, including threat detection, incident response, vulnerability remediation, and security configuration.
* Manage complex technical escalations to ensure outstanding security outcomes.

* Act as a trusted security advisor, helping customers shape and mature their cyber security strategy.
* Lead security reviews, workshops, and technical sessions with stakeholders at all levels.
* Build strong customer relationships that support long-term success and confidence.

* Support presales activities in collaboration with Account Managers and Solution Architects.
* Contribute to scoping, solution proposals, and technical design documentation.
* Present security concepts and solution options to both technical and non‑technical audiences.

Requirements:

* Strong practical experience with cloud cyber security, preferably Azure and Microsoft 365.
* Proven leadership experience within a cyber security or managed services environment.
* Excellent communication skills with the ability to translate technical concepts clearly.
* Customer‑centric mindset with the ability to build trusted stakeholder relationships.
* Commercial awareness and an understanding of how security services fit into broader business priorities.

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Data & AI Engineer - Up to £50,000

Location: Newcastle or Manchester - Hybrid
Security Clearance: UK SC eligibility required

The Opportunity

We are supporting a leading organisation within the Technology and Data space that deliver large-scale, technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation.

This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies.



The Role

As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, 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



Security & Compliance:

* Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance



Working Model:

* Hybrid working with a Manchester or Newcastle base



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 collaborative, inclusive engineering culture
* Access structured career development, training and progression opportunities

Data Architect - Hybrid - London - £75,000

A public‑facing regulatory organisation is seeking an experienced Data Architect to support the design, governance, and evolution of its enterprise data landscape across Microsoft D365 and a modern medallion architecture.

This role sits within the Digital Services team and plays a key part in shaping data models, ensuring data quality, and guiding the organisation toward a consistent, well‑governed data future.



The Role

* Designing conceptual and logical data models to support new projects and enhancements.
* Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework.
* Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata.
* Championing good data architecture practices across the organisation.



Requirements:

* Microsoft background (SSIS, Dataverse, sharepoint)
* Microsoft Azure and/or Fabric
* Understanding of transactional, Kimball and OBT methodologies

Experience

* Proven experience in data architecture
* Demonstrable ability to translate business and technical requirements into robust data architecture solutions
* Experience designing transitional architectures and handling security considerations across architectural domains.

Data & AI Engineer - Hybrid role in Technology - Up to £51k

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

Data Engineer

Up to £50,000

About the Role

We are seeking a Data Engineer to support the design and delivery of modern data and AI solutions within a large, highly regulated organisation undergoing digital transformation.

This role sits within a technology and data function focused on delivering business driven, cloud enabled solutions. You will play a key role in building scalable data pipelines, developing AI enabled capabilities, and supporting the delivery of high quality analytics solutions that drive business value.

This opportunity is ideal for someone early in their career with a strong foundation in data engineering or software development, who is passionate about data and AI. You will gain exposure to modern data platforms, machine learning and emerging technologies such as generative AI.

You will work closely with analysts, engineers and business stakeholders, helping to translate requirements into robust technical solutions, while contributing to data quality, governance and performance optimisation.

Responsibilities

* Design, build and maintain scalable data pipelines and datasets to support analytics and AI use cases
* Integrate data from multiple sources, ensuring consistency, quality and reliability
* Optimise data processing, storage and model performance for efficiency and scalability
* Develop and implement AI and machine learning models
* Support the development of generative AI solutions using large language models and prompt engineering
* Produce clear technical documentation covering pipelines, models and data structures
* Adhere to data governance, security and compliance standards

Skills and Experience

* Experience as a Data Engineer, Data Developer, AI Engineer or similar role
* Strong programming skills in Python and SQL
* Experience building data pipelines and working with structured and unstructured data
* Understanding of data modelling and data integration concepts
* Familiarity with machine learning or generative AI frameworks

What's on Offer

* Salary of up to £50,000
* Hybrid working model (Manchester based)
* Structured learning and development with exposure to modern data and AI technologies
* Opportunity to work on large scale, impactful transformation programmes
* Supportive and collaborative team environment
* Strong focus on career progression and skill development

This is just a brief overview of the opportunity. To learn more, simply apply with your CV and we'll be in touch to discuss the role in more detail.

Senior BI Developer - (UK Based)

Location: United Kingdom - Remote
Salary: £80,000 + Benefits
Employment Type: Full‑time

A leading global organisation is seeking a highly skilled Senior BI Developer to join their expanding Group IT function. This is a key role within a modern, international BI landscape, where you'll lead the design, development, and optimisation of enterprise‑wide BI solutions using Microsoft Fabric, Power BI and advanced cloud‑based data engineering technologies.

About the Role

As Senior BI Developer, you'll translate complex business requirements into scalable, high‑quality BI solutions used across multiple regions. You will design and maintain enterprise data models, architect advanced Power BI solutions, and lead development within a Microsoft Fabric Lakehouse environment. This role also acts as a technical leader within the BI practice, supporting other developers and serving as the primary escalation point for advanced BI issues.


Key Responsibilities:

* Develop and maintain enterprise‑grade Power BI reports, datasets, and data models (including star schemas and dimensional models).
* Lead ETL/ELT design and optimisation within Microsoft Fabric Lakehouse, including Data Pipelines, Notebooks, and cloud‑based ingestion/transformation layers.
* Deliver complex SQL, Python, and PySpark solutions for large‑scale distributed processing.
* Coordinate workloads across BI developers and mentor junior and mid‑level team members.
* Ensure BI quality, governance, documentation, and performance standards are met.
* Collaborate with global teams on BI modernisation initiatives, ERP data projects, and multi‑region rollouts.


Skills & Experience

* Power BI (DAX, data modelling, composite models, dataset optimisation).
* Strong capability in Microsoft Fabric, including Lakehouse architecture, Data Pipelines, and Notebooks.
* Advanced SQL, T‑SQL optimisation, Python, and PySpark.
* Experience designing enterprise‑scale BI solutions in global environments.

Why Join?

* Work with cutting‑edge BI and cloud data technologies.
* Contribute to international BI modernisation and transformation programmes.
* Engage with global stakeholders and cross‑functional teams.
* Opportunities for international exposure and ongoing professional development.

Data Engineer (AWS) - Remote - £80,000

An exciting, high-growth technology scale‑up is seeking a Data Engineer to help evolve and strengthen its modern data foundations. This organisation builds a global, API‑first platform used by major enterprise brands to improve data quality, automate workflows, and enhance the reliability of their marketing and operational data.

This is a fantastic opportunity to join a business experiencing rapid expansion, where data is central to product innovation, analytics, machine learning, and AI initiatives. You'll work with modern tooling, collaborate closely with Engineering and DevOps, and help shape a robust, scalable data ecosystem.



The Role

As a Data Engineer, you will play a key role in building and improving data pipelines, increasing access to platform and event data, and developing reliable, reusable datasets that support analytics and data‑driven decision‑making.

You'll take ownership of evolving the company's AWS‑based data infrastructure and contribute directly to high‑impact initiatives across analytics, ML, and AI.



Key Responsibilities:

* Build, maintain and enhance data pipelines from operational systems into analytics platforms
* Partner with Engineering & DevOps to support ingestion, replication and platform data flows
* Define data storage strategy and manage data in AWS S3
* Build analytics‑ready datasets in AWS Redshift, using dbt for transformation
* Improve data quality, monitoring and documentation across the data stack
* Support ML/AI initiatives with clean, well‑structured datasets
* Ensure data practices align with GDPR, security and compliance standards



Experience Required

* Strong SQL skills and experience working with AWS Redshift
* Strong Python experience for production data pipelines
* Hands‑on experience with dbt for modelling and transformations
* Familiarity with AWS services
* Comfortable partnering with Engineering and DevOps on data workflows
* Understanding of version control and CI/CD best practices

Benefits:

* 25 days' annual leave and your birthday off
* Stock options eligibility
* Remote working
* Career development opportunities in a scaling tech environment
* Employee Assistance Programme - 24/7 wellbeing support
* Regular team socials and events
* Pension plan

Hiring: Manager - Platform Engineer (AI & Data Solutions)

I'm currently working on an opportunity for a Manager level Platform Engineer to join a Technology & Transformation team, focused on delivering large-scale cloud and data platform solutions across complex enterprise environments.

This role sits within AI & Data Solutions and is focused on leading the design, build, and delivery of scalable, cloud-native platforms that enable data-driven transformation across a range of clients.

What you'll be doing:
* Leading the design, development, and delivery of cloud-based platforms and data pipelines
* Overseeing end-to-end software delivery across architecture, build, deploy, and operations
* Providing technical leadership and direction within cross-functional engineering teams
* Driving CI/CD and Infrastructure as Code best practices across programmes
* Supporting production systems, resolving complex issues, and ensuring platform reliability
* Engaging with stakeholders and translating business requirements into technical solutions
* Mentoring and guiding engineers while contributing to the wider engineering community

Key experience:
* Strong experience designing and delivering platforms on Google Cloud Platform (GCP)
* Deep knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, etc.)
* Strong background in Infrastructure as Code (Terraform or similar tools)
* CI/CD pipeline design and automation (Jenkins, GitLab CI, Cloud Build, etc.)
* Strong scripting ability (Python, Bash, or Go)
* Containerisation and orchestration (Docker, Kubernetes, GKE)
* Strong understanding of cloud security, networking, and identity management
* Experience with observability tools (Prometheus, Grafana, ELK, GCP Operations Suite)

Location: Manchester or Newcastle (hybrid working)
Salary: up to £65,000

If you're interested, or know someone who may be a strong fit, feel free to reach out.