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Job Title: Analytics Solution Engineer

Contract: 6 Months (Likely to Extend)

Rate: £400 per day (Inside IR35)

Location: Remote (UK-based)



About the Role

A client in the medical industry is seeking an experienced Analytics Solution Engineer to join their team. This role is a blend of Data Engineering, DevOps, and Site Reliability Engineering, focused on maintaining and improving data platforms to ensure reliability, scalability, and automation.



You will work on Azure Databricks and Palantir Foundry, supporting data engineers, managing infrastructure through Terraform, and handling incidents and outages. The position involves automating manual tasks, implementing robust processes, and ensuring smooth operations across analytics platforms.



Key Responsibilities

* Maintain and improve Azure Databricks and Palantir Foundry platforms
* Automate infrastructure management using Terraform
* Handle alerts, incidents, and outages to ensure platform reliability
* Support data engineers in creating pipelines and managing artifacts (secrets, clusters, releases)
* Perform health checks, secrets management, and release processes
* Conduct GitHub peer reviews and own software lifecycle processes
* Implement DevOps practices for analytics infrastructure and process improvements
* Perform audit data analysis, data restores, backups, and manage networking/access



Skills & Experience Required

* Medical industry experience (essential)
* Strong knowledge of Azure Databricks, Palantir Foundry, and Azure DevOps
* Proficiency in Terraform, Git, and automation tools
* Experience with PySpark, Python, and SQL
* Familiarity with PowerBI, Azure Functions, and data streaming
* Understanding of cloud infrastructure and public cloud operations
* Excellent problem-solving and analytical skills



Additional Requirement

* Must be BPSS clearable (Baseline Personnel Security Standard) prior to starting



Start Date: ASAP

Duration: 6 months (with strong likelihood of extension)

Rate: £400/day Inside IR35

Azure DevOps / Platform Engineer (Contract)

Location: Remote (UK or Nearshore)
Start Date: End of January 2026 (Interviews early January)
Duration: Minimum 6 months
Day Rate: £400/day Outside IR35

About the Role

My client is seeking experienced Azure DevOps / Platform Engineers to join a major transformation programme. The focus is on enabling modern cloud infrastructure and self-service capabilities for BI platforms. Candidates ideally would have worked on Azure DevOps projects with a lot of Snowflake as well.

Key Responsibilities

* Design and implement Infrastructure as Code (IaC) solutions using Azure DevOps.
* Configure and manage networking, security, and containerisation within Azure environments.
* Drive observability and monitoring across platforms.
* Support creation of self-service capabilities for BI and analytics teams.
* Collaborate with stakeholders to ensure robust, scalable, and secure cloud solutions.

Essential Skills

* Strong experience with Azure DevOps and related tooling.
* Expertise in IaC, networking, security, and containerisation.
* Exposure to Snowflake or other modern data platforms.
* Solid understanding of monitoring and observability frameworks.





To discuss this role further please submit your CV or contact Brandon Forbes

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.

AWS & Generative AI Engineer - 14-Week Contract (Outside IR35)

Start Date: 12th January
Rate: £350 per day
Location: Remote (UK-based)
Interview: Immediate - Offer before Christmas

We are looking for an experienced AWS & Generative AI Engineer to deliver advanced AI-driven solutions leveraging AWS services and cutting-edge LLM technologies. This is an outside IR35 contract for a 14-week engagement.

Key Responsibilities

* Design and implement Generative AI workflows using AWS Bedrock and AgentCore.
* Develop multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar).
* Integrate and fine-tune LLMs (Claude, GPT-4, or similar) for production use.
* Build RAG pipelines with vector databases and semantic search optimisation.
* Implement Model Context Protocol (MCP) and tool integration for LLMs.
* Ensure AI safety through guardrails, hallucination detection, and response evaluation.
* Deploy and manage AWS Lambda, API interfaces, and CI/CD for ML systems.

Required Skills

* AWS Bedrock (model selection, deployment, prompt engineering).
* Agentic workflows and multi-agent orchestration.
* RAG pipeline development and embedding optimisation.
* Advanced Python and AWS SDK (boto3).
* Experience with Claude, GPT-4, or similar foundation models.
* Prompt engineering and chain-of-thought reasoning.
* AI safety frameworks and evaluation metrics.

Beneficial Experience

* CockroachDB, Pinecone, or similar vector databases.
* Infrastructure as Code (CloudFormation/Terraform).
* CI/CD integration for ML systems.
* API design for LLM tool interfaces.

Why Apply?

* Fully remote
* Outside IR35
* Competitive day rate
* Immediate interviews - secure your next role before Christmas

Contract: Senior Project Manager - Data Harmonisation Project

Outside IR35
6-12 Month Contract
Fully Remote but have to be okay to work in Finnish timezone.

Role Overview
The Senior Project Manager will oversee the end‑to‑end delivery of a global profitability reporting programme, ensuring that data, processes, and reporting capabilities are harmonised across the organisation. This role demands a proactive leader who can operate under pressure, manage ambiguity, and drive decision‑making in highly complex settings.
Key Requirements

Candidates must demonstrate solid, well‑established experience in the following areas:
* Management Accounting, including strong understanding of activity‑based costing (ABC) principles
* Industrial / Manufacturing sector experience (mandatory)
* Proven track record as a Senior Project Manager in large‑scale, complex programmes
* Strong technical competence in reporting and analytics solutions, preferably built on Microsoft Azure and Microsoft Fabric
* Excellent communication and stakeholder management skills, with the ability to lead discussions and influence decisions in complex organisational environments
* A proactive ownership mindset and the ability to perform effectively under pressure and uncertainty

Candidate Profile
To be considered, candidates must have all of the following clearly demonstrated in their CV:
* Management Accounting
* Activity‑Based Costing
* Azure
* Fabric
* Industrial/Manufacturing sector experience
* Senior‑level Project Management background

Candidates lacking industrial/manufacturing experience or those with project management experience limited to the public sector have been previously rejected by the client.

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

Data Architect (Contract)

Location: Warwick (2 days onsite per week)
Day Rate: £500-£600 (Inside IR35)
Clearance: BPSS Cleareable
Duration: 6-month rolling contract

Overview

We are seeking an experienced Data Architect to design and implement scalable, secure, and high-performing data solutions. You will define architecture standards, optimise data flows, and ensure alignment with business and technical requirements. This is a hybrid role requiring two days per week onsite in Warwick.

Key Responsibilities

* Define and maintain data architecture principles and standards
* Design data models and integration patterns across Azure and Snowflake
* Oversee ETL/ELT processes and ensure data quality and governance
* Collaborate with engineering teams to implement robust data pipelines
* Provide guidance on monitoring and performance optimisation

Key Skills & Technologies

* Cloud: Azure
* Data Warehousing: Snowflake
* ETL & Orchestration: Azure Data Factory (ADF), DBT
* Programming: Python
* Monitoring: Prometheus
* Data Engineering: ETL/ELT best practices

Requirements

* Proven experience as a Data Architect in enterprise environments
* Strong understanding of modern data platforms and cloud architecture
* Hands-on experience with Azure and Snowflake
* Familiarity with data governance and security standards
* Eligible for BPSS clearance

Data Engineer - Contract
Location: Fully Remote (Occasional half-day on-site optional)
Duration: 3 - 6 months
Day Rate: Outside IR35

We're looking for a hands-on Data Engineer who can do more than just deliver-someone who brings best practice and thinks creatively. This is an opportunity to join a team with a strong people culture, where collaboration and a sense of humor are part of the day-to-day.

Key Responsibilities:

* Design and implement robust data models
* Optimise performance across data pipelines
* Deliver high-quality solutions with a focus on scalability and efficiency
* Provide guidance on best practices and innovative approaches

Tech Stack (Must have) :

* Snowflake
* Matillion

What We're Looking For:

* Strong communicator who can engage with stakeholders confidently
* Ability to work independently in a fully remote setup
* Hands-on delivery experience with a strategic mindset

Interview Process:

* Stage 1: Hiring Manager
* Stage 2: Wider team fit

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

Enterprise Architect - 6‑Month Contract (Outside IR35)

Location: Central London (Hybrid, 3 days onsite)
Day Rate: Flexible

We're looking for an experienced Enterprise Architect to support a major transformation programme, providing architectural leadership across business, data, applications, integration, AI and technology domains. This role requires someone who can shape strategy, guide delivery teams, and introduce modern, scalable, secure architectural practices across a diverse organisation.

The Opportunity

As the Enterprise Architect, you'll take ownership of the organisation‑wide architectural vision-ensuring technology, data, integration, and AI capabilities work cohesively to enable the business strategy. You'll define future‑state architecture, build pragmatic roadmaps, and provide expert guidance across multiple programmes.

A strong focus of this contract will be designing and governing integration and AI‑enabled architecture, leveraging modern integration platforms (iPaaS), API‑first design, and cloud technologies.

You'll work closely with senior stakeholders across functional leadership teams, regional groups, and school‑level operations.

Key Responsibilities

Strategic Architecture Leadership

* Establish and maintain the enterprise architecture direction and principles.
* Build target‑state roadmaps that support both long‑term transformation and incremental delivery.
* Ensure architecture aligns with business goals around scalability, resilience, security, cost efficiency, and regulatory compliance.

Integration & iPaaS Architecture

* Lead the organisation's integration strategy and reference architecture.
* Set standards for API‑led, event‑driven, and SaaS integration patterns.
* Govern usage of modern iPaaS technologies (e.g., MuleSoft, Boomi, Azure Integration Services).
* Reduce point‑to‑point integrations and improve reuse of integration services.

Architecture Governance

* Define enterprise‑level standards, principles, and guardrails.
* Review solution designs to ensure alignment with enterprise, data, integration, security, and AI standards.
* Support lifecycle governance for key technology and integration platforms.

Portfolio & Transformation Support

* Provide architectural insight to the portfolio team during planning cycles.
* Identify opportunities for application consolidation and improved platform utilisation.
* Enable agile and product‑based delivery teams through reusable patterns and platforms.

AI & Intelligent Systems Architecture

* Establish the architectural standards for AI and ML solutions.
* Guide teams on model lifecycle, data pipelines, and cloud‑native AI services.
* Ensure AI solutions are secure, ethical, governed, and able to integrate with enterprise platforms.
* Help the organisation move from experimentation to reliable, scalable AI delivery.

What You'll Bring

Essential

* 8+ years in architecture roles, ideally as an Enterprise or Lead Architect.
* Strong background in complex, integration‑heavy environments.
* Deep knowledge across business, application, data, integration, AI, and technical architecture.
* Hands‑on experience with major platforms such as Salesforce, Sitecore, Microsoft Dynamics, or SuccessFactors.
* Expertise in API‑led integration, event‑driven architectures, SaaS ecosystems, and public cloud (Azure/AWS/GCP).
* Excellent communication and stakeholder‑influencing skills at senior level.
* Ability to balance architectural vision with practical delivery.

Desirable

* Understanding of AI/ML architecture, data pipelines, and model deployment approaches.
* Awareness of generative AI platforms and integration methods.
* Familiarity with frameworks like TOGAF (not essential).
* Knowledge of ethical AI principles, governance, and risk management.

Azure Data Engineer - Security Cleared

Role Summary:
We're looking for an experienced Azure Data Engineer to join our team and lead the development of scalable, secure, and high-performing data solutions within the Microsoft Azure ecosystem. This role will focus on building and refining data pipelines, enhancing data architecture, and ensuring robust governance and compliance across enterprise data platforms. You'll collaborate closely with cross-functional teams to deliver reliable data products that support business intelligence, analytics, and operational reporting.

Core Responsibilities:

1. Data Engineering & Architecture

* Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, and Databricks (or Microsoft Fabric where applicable).
* Develop ETL/ELT workflows to integrate and transform data from diverse sources.
* Create and maintain data models to support reporting, dashboards, and analytical use cases.

2. Performance & Reliability

* Audit and enhance existing data infrastructure for improved efficiency and scalability.
* Apply best practices for data validation, error handling, and system monitoring.
* Automate routine tasks using Azure-native tools and scripting languages.

3. Security & Compliance

* Configure and manage Row-Level Security (RLS) and access controls in Power BI and Azure environments.
* Ensure alignment with data governance policies, privacy regulations, and retention standards.
* Maintain comprehensive documentation and metadata for all data assets.

4. Stakeholder Collaboration & Support

* Partner with analysts, data scientists, and business users to deliver trusted and well-structured data solutions.
* Provide support for production issues and troubleshoot data-related problems.
* Contribute to the evolution of the data engineering framework and development processes.

Required Skills & Experience:

* Demonstrated experience in data engineering within the Azure cloud environment.
* Proficiency with Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, and Azure Storage.
* Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas).
* Familiarity with Power BI dataflows, DAX, and RLS setup.
* Hands-on experience with Python, PySpark, or T-SQL for data processing and automation.
* Understanding of CI/CD practices in data projects using Git and YAML pipelines.
* Solid knowledge of data security, governance, and performance optimisation.

Desirable Skills:

* Exposure to Microsoft Fabric and modern lakehouse architectures.
* Experience integrating data from enterprise platforms (e.g., HR, Finance, CRM, ERP).
* Familiarity with infrastructure-as-code tools like Terraform or ARM templates.
* Background in data warehousing or analytics engineering.

Position: Analytics Engineer



Location: London (hybrid 3 times a week)
Department: IT
Type: 3 months rolling contract
Outside IR35

The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making.

Key Responsibilities

* Design and build data products, with proficiency throughout the data lifecycle.
* Develop robust data models through close collaboration with business users and the engineering team.
* Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks.
* Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management.
* Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning.
* Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis.
* Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers.
* To work independently and to manage multiple data tasks in a fast-paced environment
* Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making
* Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes.

Requirements

* At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role
* Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies.
* Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks.
* Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP.
* Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting
* Solid understanding of relevant data governance, data quality, and data security best practices
* Strong problem-solving skills, and the ability to think critically and analytically
* High experience in documentation and data dictionaries
* Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark
* Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders

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

Azure Data Engineer (Databricks Specialist)

About the Role

We are seeking an experienced Azure Data Engineer with a strong focus on Databricks to join our team on a 3‑month contract. This role is fully remote and outside IR35, offering flexibility and competitive day rates. You will play a key role in designing, building, and optimising scalable data solutions in Azure, with Databricks at the core of the project.

Responsibilities
* Design and implement data pipelines using Azure Databricks.
* Collaborate with developers, analysts, and DevOps teams to ensure smooth data integration.
* Optimise performance of large‑scale data processing workloads.
* Work with stakeholders to understand application state and data requirements.
* Ensure best practices in data governance, security, and compliance.

Key Skills & Experience
* Proven experience as an Azure Data Engineer.
* Strong hands‑on expertise with Databricks - 5+ years experience (PySpark, notebooks, clusters, Delta Lake).
* Solid knowledge of Azure services (Data Lake, Synapse, Data Factory, Event Hub).
* Experience working with DevOps teams and CI/CD pipelines.
* Ability to handle environments with large user bases (e.g., 300+ internal users).
* Excellent communication skills and ability to work independently in a remote setting.

Contract Details
* Length: 3 months (then rolling)
* Rate: £450-£500 per day (Outside IR35)
* Status: Outside IR35
* Location: Fully Remote