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Data Analyst - Contract Fully Remote
Inside IR35

An experienced Data Analyst is required to support a data transformation programme within a national digital screening service. The role focuses on modernising an end‑to‑end screening pathway by analysing multiple existing datasets, identifying data issues, and helping define future target data structures.

Core focus of the role

* Define and validate the meaning and structure of future datasets
* Quantify and assess data quality issues
* Translate data anomalies into clear business rules with stakeholders

Essential skills

* Assess data completeness, validity, consistency, uniqueness, and interpret operational or clinical implications
* Contribute to defining entities, relationships, and minimum viable datasets
* Map legacy fields to target definitions, resolve ambiguous usage, and propose standardised terminology
* Analyse duplicates, conflicts, and missing data, documenting trade‑offs and resolution options
* Work with subject matter experts to agree handling of anomalies and confirm business meaning
* Produce clear outputs such as issue summaries, dashboards, reconciliation lists, and sign‑off materials (experience with Power BI required)
* Create clear analytical documentation covering methods, assumptions, rules, and limitations
* Strong SQL for analysis, validation, and checking engineering outputs
* Proven experience with geospatial data, spatial formats, coordinate systems, and spatial analysis
* Ability to interpret geographical context and derive regional or national‑level insights
* Experience using official public datasets, particularly ONS open data

Soft skills required

* Strong communication and collaboration skills
* Team‑oriented approach and ability to build strong working relationships
* Enthusiastic, engaged, and proactive
* Comfortable working independently and handling ambiguity or change

Nice to have

* Knowledge of screening pathways, operational reporting, or relevant KPIs
* Familiarity with data governance, data dictionaries, and controlled vocabularies
* Healthcare experience

Candidates must be eligible for UK Security Clearance due to access to sensitive data and live systems.

I'm supporting a long‑standing client who is looking for an experienced Data Architect to join a large‑scale transformation programme.



Core skillset:

Strong background in cloud‑based data architecture (Azure)

High proficiency with Snowflake

Experience with ADF and modern orchestration tools

Solid exposure to DBT and transformation frameworks

Comfortable coding with Python

Understanding of monitoring/observability tools (e.g., Prometheus)

Knowledge of ETL/ELT patterns and best practice



Contract length - 6 months (possibility for extension)

Contract type - inside IR35

Location - Warwick (hybrid 2 days pw onsite requirement)

Sponsorship is not available for this role

Data Scientist / AI Engineer
Location: UK London / Bristol
Clearance: BPSS eligible (required prior to engagement start)
Working Model: Onsite 1-2 days per week
Day Rate: Inside IR35

Overview
A leading UK financial institution is seeking two experienced Data Scientists (or AI Engineers) to design, build and deliver advanced AI and analytics solutions. These roles sit at the intersection of data science, engineering and strategic problem‑solving, supporting high‑impact initiatives across the organisation. Successful candidates will be hands‑on technical leaders with strong communication skills and the ability to guide both clients and junior team members.

Key Responsibilities
* Lead end‑to‑end AI, advanced analytics and automation projects from discovery through to production deployment.
* Translate complex data into clear insights and strategic recommendations for senior stakeholders.
* Work collaboratively with multidisciplinary teams including engineers, consultants and business leaders.
* Design, develop and implement machine learning models, statistical methods and AI solutions tailored to business needs.
* Support business development activities such as solution design, proposal input and client presentations.
* Mentor junior data scientists and analysts, contributing to capability development.
* Maintain awareness of emerging AI/ML technologies, tools and methodologies.
Required Skills and Experience
* AI Project Lifecycle: Proven experience delivering full‑lifecycle AI projects, from research and prototyping to production deployment. Strong communication and stakeholder management.
* Advanced Analytics: Expertise in analytics for structured data, with strong Python skills and experience using frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
* NLP & ML: Deep understanding of NLP and ML techniques for unstructured content, including experience with foundation models and large language models.
* AI Solution Development: Experience architecting and delivering AI solutions using modern tooling, including generative AI assistants such as GitHub Copilot or Amazon CodeWhisperer.
* Cloud & Data Platforms: Familiarity with cloud environments (AWS, Azure, GCP) and experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

Preferred Experience
* Expertise in one or more specialised areas such as NLP, image processing, video processing, voice processing or Watson technologies.
* Familiarity with modern UI frameworks (e.g., Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery) to support integration of AI solutions.
* Experience working across multiple operating systems (Linux, Windows, iOS, Android).
* PhD or equivalent experience in Data Science, Computer Science, Statistics or a related field



Please send me a copy of your CV if you're interested

Contract Role: Data Warehouse Engineer / Data Architect (Greenfield Build)

Outside IR35 | 3‑Month Contract | 1 Day per Week | Hybrid/UK-Based
Tech Stack: Microsoft / Azure

A growing technology team is beginning a full greenfield data transformation initiative, aimed at unifying all revenue‑related and member‑related data into a single, reliable, analytics‑ready platform. This is a newly opened project that will underpin future AI capabilities within the organisation.

They currently have a small engineering function. You will be the specialist responsible for architecting and delivering the first foundational phase of their data platform.

The Opportunity

You will be responsible for designing and delivering a brand‑new Data Warehouse or Data Lake solution, consolidating multiple operational systems into one unified data layer. The initial phase will focus on:

* Bringing together four key data sources (Salesforce/Marketing Cloud, Oracle Symphony, SevenRooms PMS, and internal systems) into a centralised architecture.
* Designing and implementing a data ingestion and unification approach, with the option to begin via POC for 1-2 sources before scaling.
* Building the orchestration layer for data movement and transformations.
* Establishing the presentation layer for analytics and reporting.

Following this, the second phase of the project aims to introduce an AI capability layer, including:

* Applying AI models onto the unified data set.
* Natural Language Processing use cases.
* Laying the foundations for operational AI in the business.

This role offers the opportunity to define best practice from day one and shape the technical direction for data and AI within the organisation.

Key Skills & Experience

* Strong background in building Data Warehouses or Data Lakes from scratch (greenfield).
* Deep experience in the Microsoft technology stack (Azure Data Factory, Azure SQL, Synapse, Databricks, etc.).
* Proven ability to design data models, pipelines, orchestration layers and reporting foundations.
* Experience ingesting and modelling data from Salesforce/Marketing Cloud, Oracle Symphony, or SevenRooms is highly desirable.
* Understanding of how AI and NLP can be applied to structured datasets (nice to have).

Contract Details

* Outside IR35
* 3‑month contract
* 1 day per week
* Remote with occasional on‑site if needed
* Immediate start available

Azure Platform Engineer - Fully Remote - £550/pd Outside IR35

Please note - this role will require you to be a permanent resident of the United Kingdom with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship.

My client, a well‑established and highly respected Data & AI partner in the UK, is seeking an experienced Databricks Platform Engineer to join their team on a 6‑month outside IR35 engagement. This is an exciting opportunity to support enterprise‑level data platform initiatives while working 100% remotely.

Role Overview

You will play a key role in designing, building, and optimising a scalable Databricks platform within Azure. This role is ideal for someone with a strong background in Azure platform engineering, hands‑on Databricks experience, and proven expertise in infrastructure‑as‑code using Terraform.

Key Responsibilities

* Build, maintain, and optimise Azure-hosted Databricks environments.
* Develop robust platform automation using Terraform.
* Ensure scalability, reliability, and security of the data platform.
* Work closely with architects, data engineers, and DevOps specialists.
* Provide best‑practice guidance for Databricks operations and Azure platform engineering.
* Support platform enhancements, monitoring, and CI/CD improvements.

Required Experience

To be considered, you must have:

* Azure Platform Engineering experience in enterprise or consultancy environments.
* Strong hands‑on experience with Databricks, including workspace configuration, clusters, jobs, and security.
* Proficiency with Terraform for infrastructure provisioning and automation.
* Solid understanding of cloud networking, security principles, and platform operations.
* Experience working with modern DevOps tooling (e.g., Azure DevOps, GitHub Actions).
* Ability to work independently within a remote delivery model.

Contract Details

* Length: 6 months
* Rate: £550/day
* IR35 Status: Outside IR35
* Location: Fully remote (UK-based applicants only)
* Start Date: ASAP

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

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Job Title: Microsoft Viva Data & Analytics Specialist

Contract Type: Inside IR35
Rate: £598 per day
Location: Fully Remote
Duration: [Insert duration if known, e.g., 6 months]

Overview

We're looking for a highly skilled data professional to design and develop usage analytics solutions across Microsoft Viva modules-Connections, Engage, Insights, Learning, Goals, and Topics. This contract role is fully remote and offers an exciting opportunity to shape how employee engagement and productivity are measured across a global organisation.

Key Responsibilities

* Design and implement analytics solutions to track usage across all Microsoft Viva modules.
* Integrate data from Microsoft Graph, Viva Insights, and Microsoft 365 usage reports.
* Build interactive dashboards in Power BI for executive and functional reporting.
* Automate data extraction and transformation using Power Automate, Azure Data Factory, or similar tools.
* Define key metrics and KPIs for employee engagement, learning, productivity, and goal alignment.
* Ensure data accuracy, security, and compliance with organisational and privacy standards.

Required Skills & Experience

* Proven experience with Microsoft Viva, Microsoft Graph, and Microsoft 365 data sources.
* Strong proficiency in Power BI, including DAX and data modelling.
* Experience with data pipeline automation tools such as Power Automate and Azure Data Factory.
* Solid understanding of data governance, privacy, and compliance standards.
* Ability to translate business requirements into technical solutions and actionable insights.
* Excellent communication and stakeholder management skills.

Data Architect - 6‑Month Rolling Contract
Onsite: Warwick, 2 days per week
Rate: (Inside IR35)

This role requires strong hands‑on capability across modern cloud data tooling, with a particular focus on Azure and Snowflake.

Key Skills Required
* Azure data ecosystem
* Snowflake
* Prometheus
* Azure Data Factory (ADF)
* Python
* DBT
* ETL/ELT engineering

What They're Looking For
A contractor who can operate autonomously, embed quickly into an enterprise environment, and deliver robust, production‑ready data pipelines. Someone who can work across cloud, orchestration, monitoring, and transformation layers with confidence.

Engagement Details
* Inside IR35
* 6‑month rolling contract (expected long‑term extension)
* Onsite in Warwick twice per week

Please send me a copy of your CV if you're interested

0191 338 6654

Data Product Owner - Databricks Specialist

6‑Month Rolling Contract - Outside IR35

Active SC Clearance or BPSS Required

Travel: 1 Day per Week or 1 Day per Month to Newcastle upon Tyne

Role Overview

We are seeking a Data Product Owner with strong experience in Databricks and valid SC clearance or BPSS. You'll take ownership of one or more data products, ensuring they deliver measurable value and operate reliably. This role acts as the connection between business stakeholders and technical delivery teams, owning the product vision, backlog, roadmap, and value realisation throughout the lifecycle.

This contract requires occasional travel to Newcastle upon Tyne - typically 1 day per week, though 1 day per month may be considered depending on project needs.

Key Responsibilities

Product Direction & Strategy

* Define and communicate a clear product vision, making full use of Databricks features and capabilities.
* Ensure the product is scalable, impactful, and aligned with business outcomes.
* Take responsibility for the commercial and operational success of the product.

Stakeholder Engagement

* Act as the primary interface with stakeholders, technical teams, and data consumers.
* Convert business needs into actionable requirements and prioritised backlog items.
* Balance competing priorities while keeping focus on the overarching product roadmap.

Backlog Ownership

* Manage and continuously refine the backlog based on value, feasibility, and Databricks platform capabilities.
* Write clear user stories and acceptance criteria aligned with consumer needs.
* Make informed trade‑offs around time, scope, cost, and quality.

SLAs, Delivery Agreements & Governance

* Define and manage service expectations, including reliability, refresh cycles, and data quality.
* Set non‑functional requirements such as lineage, retention policies, and pipeline performance.
* Communicate usage expectations, limitations, and upcoming product changes.

Performance Tracking & Value Realisation

* Create and maintain KPIs for usage, engagement, business impact, and Databricks job performance.
* Monitor data quality, pipeline reliability, and operational metrics.
* Drive decisions on enhancement, optimisation, or product retirement based on evidence.

Data Quality, Compliance & Ethics

* Ensure data products meet quality standards and regulatory expectations.
* Integrate governance, privacy, security, and ethical controls into Databricks workflows.
* Promote responsible data use across the product ecosystem.

Cross‑Functional Collaboration

* Work closely with data engineers, platform teams, analytics engineers, cloud architects, and UX.
* Support the adoption of product‑based working practices across the organisation.
* Help evolve data product management capabilities and standards.

Mandatory Requirements

* Active SC clearance or BPSS (minimum) is required to proceed.
* Ability to work in a secure environment following clearance‑related processes.
* Willingness to travel to Newcastle upon Tyne:

* 1 day per week, or
* 1 day per month (depending on project phase and agreement).

Essential Skills

* Strong experience as a Data Product Owner or Product Manager in a data‑centric environment.
* Deep understanding of Databricks, including jobs, clusters, Delta Lake, notebooks, and pipelines.
* Solid grounding in data management, data quality, and analytics use cases.
* Proven backlog ownership and prioritisation experience.
* Excellent stakeholder communication and value‑focused decision‑making.
* Ability to define, measure, and report on business value.

Desirable Skills

* Experience with data mesh or decentralised data ownership models.
* Familiarity with creating SLAs or service expectations for data solutions.
* Background in regulated, public sector, or security‑sensitive environments.
* Exposure to Agile frameworks and product management disciplines.

Contract Role: PBI Specialist (SC Cleared)
Location: UK (on‑site or hybrid depending on project)
Clearance: Active SC clearance required
Day Rate: Competitive

Overview
We are looking for an experienced PBI (Power BI) Specialist with active SC clearance to support a high‑profile programme within a secure environment. The successful candidate will work closely with data, analytics, and delivery teams to design, build, and optimise Power BI solutions that drive effective reporting and decision‑making.

Key Responsibilities

* Develop, enhance, and maintain Power BI dashboards and reports
* Convert complex data sets into clear, actionable visual insights
* Work with stakeholders to gather requirements and translate them into technical solutions
* Optimise data models, DAX calculations, and performance across reports
* Ensure data integrity, governance, and compliance with secure‑environment standards
* Support automation and process improvement initiatives

Essential Skills

* Valid SC clearance
* Strong experience with Power BI (Desktop, Service, DAX, modelling)
* Ability to work with SQL, data warehouses, and structured data sources
* Background in BI, reporting, analytics, or data visualisation
* Strong stakeholder engagement and communication skills
* Experience working within secure or regulated environments

Desirable Skills

* Experience with Azure (Data Factory, Synapse, Databricks)
* Knowledge of ETL processes
* Understanding of government or defence sector reporting standard

Enterprise Architect - Contract
Location: Central London (Hybrid, 3 days on site)
Outside IR35

Key Responsibilities
Strategy and Architecture Leadership
* Define and maintain the enterprise architecture vision, principles, and target state aligned to business, digital, and data strategies.
* Develop architecture roadmaps and transition states that support both incremental delivery and long‑term transformation.
* Establish enterprise approaches for integration, data, and AI architectures, ensuring consistency, reuse, and governance.
* Ensure architectural decisions address scalability, resilience, security, regulatory compliance, ethical AI, and cost efficiency.
Integration, iPaaS and Platform Architecture

Essential Experience
* Typically 8+ years in architecture roles, including Enterprise or Lead Architect positions.
* Experience in complex, integration‑heavy, data‑driven environments.
* Strong background across business, application, data, integration, AI, and technology architecture domains.
* Deep understanding of platforms such as Salesforce, Sitecore, Microsoft Dynamics, or SuccessFactors.
* Strong communication and influencing skills at executive level.
* Familiarity with architecture frameworks (e.g., TOGAF) is desirable but not essential.
Integration and iPaaS Expertise
* Deep understanding of enterprise integration patterns and iPaaS platforms.
* Experience with API management, event‑driven systems, and SaaS ecosystems.
* Knowledge of cloud platforms (AWS, Azure, or GCP).

Desirable AI and Data Architecture Skills
* Understanding of AI and machine learning architectures, including data foundations and model lifecycle.
* Awareness of generative AI architectures and integration patterns.
* Strong appreciation of ethical AI, governance, risk, and compliance.



Please send me a copy of your CV if you're interested