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Systems Administrator - London - Permanent - Up to £40,000

An exciting opportunity has arisen for an experienced Systems Administrator to join a growing organisation and play a key role in supporting and improving business-critical systems and applications.

Working across a diverse technology environment, you will act as the primary escalation point for complex technical issues, cooperate closely with software development teams and ensure systems are operating effectively for internal users and clients.

This is not a technical - role is ideal for an individual who enjoys troubleshooting, driving continuous improvement initiatives and working with both technical and non-technical stakeholders.

Key Responsibilities

* Manage and track incidents, helping to implement long-term fixes.
* Deliver user guidance and documentation to expand on the efficiency of business systems.
* Work closely with internal stakeholders, development teams and users to resolve issues and communicate progress.
* Serve as the escalation point for complex system and application issues.

Skills & Experience

* Exposure to cooperation with external development teams.
* Deep knowledge around maintenance and management of Access Matrices.
* Strong documentation skills with the ability to share knowledge and train users.
* Experience working in Agile environments.
* Proven analytical and problem-solving skills.

Why Apply?

* Hybrid basis - 2 days a week.
* Great opportunity to grow alongside a growing organisation.
* Competitive benefits package.

If you're a proactive Systems Administrator who enjoys problem-solving, improving processes and working with a broad range of technologies, get in touch or apply now - interview processes have already started!

All candidates must be UK-based with full right to work in the UK.

Data Solutions Architect

Technical / Solution Architecture | Data Platforms | Security & Regulated Environments

📍 London - 3 Days Per Week Onsite
🔒 Active SC Clearance Required
📅 6-Month Contract
💷 £652.20 per day (Inside IR35)

We are seeking an experienced Data Solutions Architect to join a high-profile programme delivering complex data and analytics capabilities within a secure and regulated environment.

This role will be responsible for defining and governing end-to-end data solutions across cloud, data, integration, infrastructure, and security domains. The successful candidate will combine strong technical architecture expertise with the ability to engage senior stakeholders, provide architectural assurance, and support successful programme delivery.

Key Responsibilities

* Design end-to-end data solutions that align with business, technical, security, and operational requirements
* Produce high-quality architecture artefacts including HLDs, LLDs, architecture decision records, and options assessments
* Define current-state, target-state, and transition architectures, including phased delivery roadmaps
* Ensure solutions are scalable, resilient, secure, and operationally supportable
* Provide architectural leadership throughout delivery, supporting technical teams during implementation
* Participate in design reviews, governance forums, and architectural assurance activities
* Work closely with engineering, security, and programme stakeholders to ensure architecture standards are met
* Support architecture documentation, knowledge transfer, and transition planning

Required Experience

* Proven experience in a Data Solutions Architect, Technical Architect, or similar architecture-focused role
* Strong background designing modern cloud-based data and analytics platforms
* Experience working within highly regulated, security-conscious, or complex enterprise environments
* Ability to translate functional and non-functional requirements into robust technical solutions
* Experience producing detailed architecture documentation for governance and assurance purposes
* Strong stakeholder management and communication skills

Technical Skills

* Cloud data platforms such as Azure Databricks, Microsoft Fabric, or similar
* Distributed data processing technologies, including Spark-based platforms
* Enterprise integration patterns including APIs, event-driven architectures, and service-based solutions
* Platform engineering, Infrastructure as Code (IaC), CI/CD, and DevOps practices
* Cloud landing zones, identity and access management, secure connectivity, and enterprise-scale architecture patterns
* Data architecture, application architecture, infrastructure architecture, and security architecture principles

Desirable Experience

* Experience operating within architecture governance frameworks and design authorities
* Architectural assurance and design review board participation
* Operational resilience and security-focused solution design
* Technology evaluation, options analysis, and vendor selection
* Supporting capability uplift and knowledge transfer within client teams

Contract Details

* 6-Month Initial Contract
* £652.20 per day
* Inside IR35
* London Based
* 3 Days Per Week Onsite
* Active SC Clearance Required

AWS Data Architect - London (Hybrid) - Up to £115,000

Are you passionate about shaping the future of data and AI on modern cloud platforms?

I'm working with a highly respected technology organisation who deliver Data & AI solutions across various enterprises. As an architect, you'll lead the design and delivery of enterprise-scale data platforms, helping clients build modern analytics capabilities and adopting emerging AI technologies.

You'll work closely alongside senior stakeholders to define strategy, drive architectural decisions and lead multidisciplinary teams delivering scalable, secure and cloud-native solutions.

Alongside this, you'll also be responsible for architecting end-to-end capabilities, leading through data ingestion, storage, transformation, real-time processing and AI integration.

Key Skills & Requirements:

* Proven experience in cloud-native data and analytics platforms.
* AI and Machine Learning experience, as well as MLOps/AIOps.
* Strong understanding of solution design and the full data life cycle.
* Solid understanding of data management, governance and security.
* Familiarity with Python or SQL.

What Do They Offer?

* An exceptional compensation package.
* Base salary up to £115,000
* Opportunity to grow on an exciting career path.
* Culture that recognises and acknowledges your contributions.

They want someone who can bring a deep knowledge of AI and Machine learning into the function, someone who can provide real strategic direction while aligning to the business objectives.



Could this be you?

Apply now, or email me via j.marchant@tenthrevolution.com

All candidates must be able to travel on-site at least 3 days a week.
To be eligible for this role you're required a full, unrestricted right to work in the UK.

Azure Data Architect: Full Stack Microsoft.



We are currently recruiting for a well-known MS Partner, who are looking for a technical Data architect looking for a new challenge. The Senior Architect will play a pivotal role in designing, developing, and managing innovative business intelligence (BI) solutions with a strong emphasis on leveraging Microsoft Fabric. This role requires a deep understanding of data warehousing, ETL (Extract, Transform, Load) processes, data modelling, and the Microsoft Fabric ecosystem. The ideal candidate will translate business needs into technical specifications, create effective BI solutions, and drive the utilisation of information management systems.



The ideal candidate will have:



*

A Bachelor's degree in CompSci, IT or a relevant field.

*

Proven architecture experience on live projects.

*

Strong data warehousing skills.

*

Proficiency in BI tools - Power BI and the components of Microsoft Fabric.

*

Experience with SQL and database management.

*

Strong communication and collaboration skills - must be able to translate technical solutions to non-technical/ non BI/data based stakeholders.

*

Knowledge of Microsoft Azure cloud platforms.



Preferred Certifications:



* Certified Business Intelligence Professional (CBIP)
* Microsoft Certified: Data Analyst Associate
* Microsoft Certified: Azure Data Engineer Associate
* Microsoft Certified: Azure Solutions Architect Expert



- 2 days onsite Joburg

- 10+ years experience

- Must be well-versed in Azure

- Fabric experience very much beneficial

- Consulting background highly regarded



* Must have RTW for SA without sponsorship

Senior Databricks Architect - London (Hybrid) - Databricks - Spark - PySpark - AWS - Up to £115,000 + Bonus

Our client, a large-scale organisation undergoing significant investment in data and cloud technologies, is seeking an experienced Senior Databricks Architect to join its expanding Data & AI practice.

This is an exciting opportunity to play a key role in large-scale data transformation programmes, helping enterprise organisations modernise legacy platforms and build cloud-native data solutions. You'll be responsible for designing and delivering scalable data architectures, enabling advanced analytics, real-time data processing and modern data product delivery.

Working within a highly skilled and collaborative environment, you'll have the opportunity to influence technical strategy, work with cutting-edge technologies and support some of the most complex data initiatives in the market.

You Will Work With

* Designing and delivering enterprise-scale data platforms using Databricks and AWS
* Building batch and real-time data pipelines from legacy and modern source systems
* Implementing real-time and event-driven data processing solutions
* Developing data transformation frameworks using Spark, PySpark and SQL
* Designing Lakehouse architectures using Databricks and Medallion Architecture principles
* Creating scalable, reusable data products to support modern data operating models
* Integrating data from complex legacy and enterprise data sources
* Driving data governance, quality, security and operational best practices
* Collaborating with business stakeholders, engineering teams and data consumers
* Providing architectural leadership across complex transformation programmes

Benefits

* Salary up to £115,000
* Performance-related bonus
* Comprehensive benefits package
* Excellent career progression opportunities
* Access to training and professional certifications
* Exposure to enterprise-scale cloud and data transformation projects
* Opportunity to work with the latest Databricks, AWS and streaming technologies
* Collaborative, innovation-led working environment

Key Experience

* Proven experience as a Data Architect, Databricks Architect, Lead Data Engineer or Solutions Architect
* Strong expertise in Databricks, Apache Spark, PySpark and SQL
* Experience designing and implementing modern data lake or lakehouse architectures
* Hands-on experience with Kafka
* Strong understanding of AWS data services, particularly Amazon S3
* Experience integrating data from complex enterprise and legacy data environments
* Strong understanding of data governance, security and data quality frameworks
* Experience delivering large-scale cloud and data transformation programmes
* Excellent communication and stakeholder management skills

Apply Now

This is a fantastic opportunity to join an organisation investing heavily in next-generation data and cloud technologies.

With interview slots currently being scheduled, we expect strong interest in this position.

Apply now or send your CV directly for immediate consideration.

Senior Data Architect - Finance - London

A small but growing consultancy is seeking an experienced Senior Data Architect to play a key role in shaping and governing enterprise data architecture across a complex, highly regulated environment.

This is a hands-on architecture role requiring someone who can operate with credibility from day one, defining technical patterns, assuring solution designs and providing architectural leadership across data, analytics, and emerging AI initiatives.

We're looking for a technically minded architect rather than a purely business-focused strategist; someone who enjoys solving complex data challenges, influencing engineering teams, and ensuring robust architectural standards are adopted across the organisation.

The Role

You will be responsible for defining and evolving data architecture capabilities that support operational reporting, advanced analytics, machine learning, and AI-driven solutions.

Working closely with data engineering, analytics, governance, security, and business stakeholders, you will help shape the organisation's data value chain while ensuring solutions are scalable, secure, and aligned with regulatory requirements.

Key responsibilities include:

* Defining enterprise, domain, and solution-level data architectures
* Establishing and governing data architecture standards, principles, and technical patterns
* Designing logical and physical data models for operational, analytical, and AI use cases
* Providing architectural oversight and design assurance across delivery teams
* Supporting data governance, lineage, metadata management and data quality initiatives
* Contributing to long-term architecture roadmaps and investment planning

This is an excellent opportunity to join an organisation undergoing significant data and technology evolution with a very well established client base, where architecture plays a critical role in enabling future analytics, AI and business capabilities.

Salary on offer is up to £100,000 plus benefits on a hybrid basis. Please get in touch asap for more information.

Senior Data Architect - London (Hybrid) - Snowflake - Up to £120,000

A leading organisation undergoing significant investment in its data and cloud capabilities is looking for a Senior Data Architect to help shape and evolve its next-generation data ecosystem.

This is an opportunity to join a growing architecture function responsible for establishing scalable, secure and high-performing platforms that support analytics, operational workloads and real-time data processing across the business.

You'll work closely with engineering, architecture and leadership teams to define technical direction, modernise existing capabilities and enable the delivery of data products at scale.

The Role

You'll be responsible for:

* Defining architecture principles, standards and best practices across data platforms
* Designing scalable cloud-based solutions for data integration, storage and consumption
* Supporting the development of modern streaming and event-driven capabilities
* Driving platform reliability, security and performance improvements
* Establishing governance frameworks across data and integration environments
* Supporting automation, release management and engineering excellence initiatives
* Working with stakeholders to understand strategic data requirements
* Contributing to technology roadmaps and platform modernisation programmes
* Supporting the adoption of domain-driven approaches to data ownership and delivery
* Providing technical leadership across complex enterprise initiatives

Technical Environment

Experience in several of the following areas would be beneficial:

* Snowflake
* Kafka or other streaming technologies
* Azure, AWS or GCP
* Kubernetes and container-based platforms
* Data Warehousing and Data Lake technologies
* CI/CD tooling and deployment automation
* Infrastructure as Code
* ETL / ELT frameworks
* API integration and distributed systems
* Data Governance and Metadata Management

What We're Looking For

* Experience designing enterprise-scale data or integration platforms
* Strong architecture and solution design capability
* Experience leading complex cloud transformation initiatives
* Strong understanding of modern data engineering principles
* Background in platform modernisation and cloud adoption
* Excellent stakeholder engagement and communication skills
* Ability to influence technical direction and architecture decisions
* Experience operating in Agile delivery environments

What You'll Receive

* Competitive base salary
* Annual bonus
* Comprehensive benefits package
* Hybrid working arrangement
* Structured career progression
* Access to ongoing training and certifications
* Opportunity to work on large-scale transformation programmes
* Exposure to modern cloud and data technologies

Apply Now

This is an excellent opportunity for a senior architect looking to influence the design and evolution of major data platforms within a highly collaborative and technology-focused environment.

Apply now for immediate consideration.

Job Description: Data Principal Architect

The Role

This is an expert/principal-tier consulting position not a hands-off strategy role, but a hands-on leader who sits between the C-suite (CIO, CDO, CMO) and engineering teams. You'll assess a client's existing IT/data landscape, design the future-state data architecture, and personally guide execution of large, high-risk transformations (legacy migrations, platform modernizations). Think: technical architect + trusted advisor + pre-sales technical lead, likely at a strategy/tech consultancy or a vendor's professional services arm, with a strong European (Sweden/EU) compliance angle.

What You'd Actually Be Doing

* Designing enterprise data topologies choosing and implementing Data Mesh (decentralized, domain-owned) vs. Data Fabric (centralized, metadata-driven virtualization) architectures, or a hybrid, based on client context
* Leading legacy-to-cloud migrations moving clients off Hadoop clusters/mainframes/legacy ERPs onto Databricks/Snowflake on Azure, using phased rollouts (assess → dual-run → cutover → optimize) rather than risky "big bang" switchovers
* Building governance & metadata infrastructure data catalogs, lineage tracking, business glossaries (via Unity Catalog, Collibra, or Alation), with federated access control
* Owning compliance-by-design GDPR anonymization, right-to-be-forgotten workflows, data residency/sovereignty within the EU, and increasingly, data quality/governance for the EU AI Act
* Pre-sales and stakeholder translation scoping engagements, diagnosing whether a client has a skills gap vs. a build need, and translating technical tradeoffs (latency, storage cost) into business language for executives
* Staying hands-on writing/reviewing dbt models and SQL, working in proper Git/CI/CD workflows, not just producing PowerPoints

What They're Looking For (Must-Haves)

* Deep, provable experience with Data Mesh and/or Data Fabric architecture design
* Microsoft Azure expertise (this is the primary cloud target)
* Strong hands-on background in Databricks and Snowflake (Delta Lake, warehousing, query optimization)
* dbt + advanced SQL
* Experience with data governance/catalog tooling (Unity Catalog, Collibra, Alation) and lineage
* Solid Git/SDLC discipline - this rules out candidates who've only worked in ad hoc, undocumented environments
* GDPR/data residency/RBAC literacy - critical given the Nordic/EU client base
* Executive communication skills and a genuine "doer-leader" profile (still writes code, not purely strategic)

Nice-to-Haves

Python/Scala/Java/Go, AWS or GCP exposure, Terraform, streaming (Kafka/Event Hubs/Flink), Docker/Kubernetes, and FinOps/cloud cost optimization.

About the Role

On behalf of our client, we are looking for an experienced Data Architect to lead the design, implementation, and governance of their enterprise data and analytics platform, built on Microsoft Fabric with a strong Databricks background. You will be the technical authority on modern lakehouse architecture spanning data engineering, data warehousing, real-time analytics, and Power BI translating business requirements into scalable, secure, and cost-efficient solutions across the Fabric/Databricks ecosystem.

This is a high-impact role for someone who wants to shape a modern data platform from the ground up, bringing deep lakehouse and Spark expertise to a Fabric-first environment, and mentor teams as they adopt it.

What You'll Do

* Design and own the end-to-end architecture for Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory pipelines, Real-Time Intelligence, and Power BI semantic models.
* Define data platform standards: medallion architecture (bronze/silver/gold), naming conventions, workspace structure, capacity planning, and CI/CD practices.
* Lead migrations from legacy platforms (e.g., Synapse, Azure Data Factory, SSAS, on-prem SQL Server) into Fabric.
* Architect security and governance frameworks - including workspace roles, OneLake data access policies, row-level security, sensitivity labels, and integration with Microsoft Purview.
* Optimize Fabric capacity usage (F-SKUs), monitor performance, and manage cost governance across workspaces.
* Collaborate with data engineers, analysts, and business stakeholders to design scalable data models and pipelines.
* Establish DevOps practices for Fabric (Git integration, deployment pipelines, environment promotion).
* Provide technical leadership, code/design reviews, and mentorship to data engineering and BI teams.
* Stay current with Fabric's evolving feature set and advise on adoption roadmaps.
* Evaluate and architect interoperability between Databricks and Fabric where relevant (e.g., shortcuts to OneLake, Delta Lake compatibility, Unity Catalog vs. Fabric governance models).
* Advise on platform strategy where Databricks workloads (Spark jobs, MLflow, Delta Live Tables) need to coexist with or migrate into a Fabric-centric environment.
* Bring lakehouse design best practices (Delta Lake, Unity Catalog, cluster/job optimization) to inform Fabric architecture decisions.

What We're Looking For

Required:

* 5+ years of experience in data architecture, data engineering, or BI, with hands-on experience across Microsoft Fabric (or Azure Synapse) and Databricks.
* Strong background working within Databricks cluster architecture, Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and job/workflow orchestration.
* Strong knowledge of OneLake, Lakehouse/Warehouse architecture, Dataflows Gen2, Data Pipelines, and Notebooks (PySpark/Spark SQL).
* Deep experience with Power BI, including semantic (Direct Lake) models, DAX, and report/dataset governance.
* Solid understanding of data modeling (dimensional modeling, medallion architecture) across both lakehouse platforms.
* Experience with T-SQL, Python, and PySpark/Spark SQL.
* Familiarity with Azure services: Azure Data Lake Storage, Azure Active Directory (Entra ID), Azure DevOps/GitHub.
* Experience designing for data security, compliance, and governance at enterprise scale (across Unity Catalog and/or Microsoft Purview).
* Strong communication skills able to work with both technical teams and business stakeholders.

Nice to Have:

* Microsoft certifications (e.g., DP-600, DP-700, or Azure Solutions Architect).
* Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Databricks Certified Solutions Architect).
* Experience with Microsoft Purview for data governance and cataloging.
* Background in real-time analytics (Eventstreams, KQL databases, or Databricks Structured Streaming).
* Prior experience leading platform migrations either Databricks-to-Fabric, Fabric-to-Databricks, or hybrid coexistence architectures.

About the Role

On behalf of our client, [Client Company Name], we're hiring a Senior BI Architect to design, govern, and scale their business intelligence ecosystem. You'll own the technical vision for how data is modeled, warehoused, and delivered to the business - turning raw data into trusted, decision-ready insight. This is a high-impact role for someone who thrives at the intersection of data architecture, analytics engineering, and stakeholder strategy.

What You'll Do

* Design and own the enterprise BI architecture, including data warehouse/lakehouse structures, semantic layers, and reporting frameworks
* Define and enforce data modeling standards (dimensional modeling, star/snowflake schemas, medallion architecture) to ensure consistency and performance across BI assets
* Lead the selection, implementation, and governance of BI tools and platforms (e.g., Power BI, Tableau, Looker) and their integration with the broader data stack
* Architect and lead migrations to Microsoft Fabric, including OneLake, lakehouses/warehouses, Data Factory pipelines, and Power BI semantic models
* Design solutions that remain cloud-agnostic where appropriate, ensuring architecture isn't unnecessarily locked to a single vendor and can integrate across AWS, Azure, and GCP data sources
* Partner with data engineering to design scalable, reliable data pipelines that feed BI systems
* Establish data governance practices - access controls, data quality standards, metadata management, and documentation
* Translate business requirements into scalable technical solutions, working closely with analysts, product, and executive stakeholders
* Mentor BI developers and analysts on architecture best practices, performance tuning, and self-service enablement
* Evaluate emerging BI/analytics technologies and make recommendations to keep the architecture future-proof
* Own performance optimization for large-scale dashboards, semantic models, and queries
* Drive self-service analytics adoption through well-governed, reusable data models

What You'll Bring

* 7+ years of experience in business intelligence, data architecture, or analytics engineering, including prior BI development experience
* Proven track record architecting enterprise-scale BI solutions from the ground up
* Hands-on experience leading multiple end-to-end migration projects onto Microsoft Fabric (OneLake, Lakehouse/Warehouse, Data Factory, Power BI semantic models), including planning cutover strategy and minimizing disruption to existing reporting
* Deep expertise in dimensional modeling and modern data warehouse/lakehouse design
* Cloud-agnostic mindset - comfortable architecting solutions that span or move between AWS, Azure, and GCP rather than being tied to a single ecosystem
* Advanced proficiency with Power BI (DAX, semantic modeling) and working knowledge of other major BI platforms (Tableau, Looker)
* Strong SQL skills and familiarity with ELT/ETL tooling (e.g., dbt, Data Factory, Fivetran, Airflow)
* Experience with data governance, security, and role-based access frameworks
* Excellent communication skills - able to translate between technical architecture and business needs
* Experience mentoring or leading technical teams

Nice to Have

* Experience migrating off legacy platforms (e.g., Synapse, SSAS, Snowflake, Redshift, BigQuery) onto Fabric
* Experience with Python or scripting for data automation
* Familiarity with CI/CD for analytics (version-controlled BI development, Fabric deployment pipelines)
* Background in a specific industry vertical (finance, retail, healthcare, SaaS, etc.)
* Relevant certifications (e.g., Microsoft Certified: Fabric Analytics Engineer, Power BI, Snowflake SnowPro, AWS/GCP data certifications)