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Digital Business Analyst - 6-Month Contract (Inside IR35)

Location: Hybrid (Warwick, 2-3 days per week onsite)
Clearance: BPSS Clearable
Rate: Competitive (Inside IR35)

We are seeking a Digital Business Analyst to join a major digital transformation programme within Asset Operations. This role requires an analytical thinker who can challenge the status quo, reimagine processes, and influence stakeholders at all levels. You will play a key role in translating the digital roadmap into prioritised product features that deliver measurable business value.

Key Responsibilities

* Collaborate with Digital colleagues, partners, and business stakeholders to:

* Identify frictions and issues within current processes.
* Redesign end-to-end business processes and ways of working.
* Design digital solutions that enable new processes and minimise friction.

* Work with BusinessSMEs to:

* Define user stories, product features, and business logic in detail.
* Secure business buy-in to maximise adoption.

* Support product sprint teams by:

* Providing detailed feature requirements.
* Gathering data and assisting with prototype development.
* Ensuring products remain value-focused throughout development.
* Synthesising user feedback and influencing product design.

Skills & Experience

* Proven experience engaging with SMEs and end-users to elicit, document, and gain consensus on product features.
* Skilled in facilitating workshops, stakeholder interviews, and distilling complex outputs into actionable insights.
* Strong ability to articulate product and design needs within fast-paced, agile environments.
* Experience delivering business change activities as part of major transformation programmes.
* Familiarity with frameworks such as SAFe, NG Change BMS, and CDF.
* Demonstrated success in agile delivery and stakeholder engagement.

Interpersonal Attributes

* Ability to build relationships across workstreams and confidently address divergent priorities.
* Passionate advocate for digital transformation and business change.
* Skilled influencer who can communicate the importance of product management and adoption.

Contract Details:

* Duration: 6 months
* Location: Hybrid - Warwick (2-3 days onsite per week)
* IR35: Inside IR35
* Clearance: BPSS clearable

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.

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 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

Data Business Analyst - 6-Month Contract (Outside IR35) - Fully Remote

Contract: 6 months (high chance of extension)
Location: Fully Remote
IR35 Status: Outside IR35
Rate: Competitive

We're looking for a Data Business Analyst to play a key role in a major data migration and modernization program. This is an opportunity to work on a cutting-edge initiative leveraging AI and modern data platforms to transform legacy systems into a future-ready architecture.

What You'll Do

Phase 1: Foundation & Discovery

* Legacy Inventory & Triage: Lead discovery of 40-50 legacy sources and thousands of tables/jobs. Run workshops with business stakeholders to classify assets (Retire, Archive, Deprecate, Strategize).
* Business Impact Analysis: Map complex transformation logic to business outcomes, ensuring AI-driven templates preserve critical functionality.
* Wave Planning: Organize data products into migration waves based on business priority, dependencies, and resource constraints.

Phase 2: Build & Pilot

* Logic Validation: Partner with the AI/Automation Lead to confirm GenAI-generated logic explanations are accurate and clear.
* Pilot Support: Work closely with the first migration team to identify onboarding challenges and improve documentation.

Phase 3: Scale & Support

* UAT Coordination: Act as the bridge between the Migration Factory and business teams. Manage UAT schedules for 50-60 data products across multiple units.
* Defect Triage: Separate technical bugs from business logic issues and route accordingly.
* Stakeholder Sign-off: Own the "Ready for Production" process, ensuring confidence in migrated data.

What We're Looking For

Technical Skills

* Strong SQL and ability to navigate complex data lineages.
* Familiarity with modern data platforms (Snowflake, Databricks, Azure) and ingestion tools (ADF and similar).
* Interest or experience with Generative AI tools for code analysis and documentation.

Soft Skills

* Skilled in workshop facilitation with senior stakeholders.
* Strong problem-solving mindset to streamline onboarding and migration processes.
* Comfortable working in ambiguous, evolving environments where roles shift by project phase.

D365 CRM Business Analyst

London, Hybrid (1-2 days weekly)

Nigel Frank International are partnered with a forward-thinking organisation is seeking a D365 CRM Business Analyst to support the delivery of a major transformation initiative.
The role focuses on understanding business needs, shaping Dynamics 365 CRM functionality, and ensuring the platform is designed to improve customer interactions and internal processes.

You'll be tasked with acting as a link between operational teams and technical specialists, the Business Analyst will gather requirements, map processes, and help define solutions that align with strategic objectives.

Responsibilities

* Work with stakeholders to capture, refine, and document business requirements, user journeys, and process flows.
* Translate business needs into clear user stories and acceptance criteria to support development and prioritisation.
* Conduct analysis to identify gaps between current system capabilities and future requirements.
* Collaborate with technical teams on solution design, data migration needs, and integration considerations.
* Facilitate workshops, interviews, and review sessions to validate requirements and support change adoption.



Skills

* Strong background in business analysis within D365 CRM or digital transformation environments.
* Ability to document complex processes and convert them into structured, actionable requirements.
* Confident working with both technical and non‑technical stakeholders, ensuring clarity and alignment.
* Experience supporting system integrations, data mapping, and solution design discussions.
* Skilled in leading workshops and using analytical techniques to validate and refine requirements.

Benefits

* Starting Salary - up to £55k dependant on experience
* Enhanced Life Assurance, Pension Contributions and more!

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 - 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.

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

Business Analyst

📍 Location: London (Hybrid - 1-2 days/week onsite)
📅 Contract Length: 6 Months
💰 Day Rate: £475-£500/day
🕒 Engagement: Full-Time Contract

Overview:

A leading insurance intermediary is embarking on a strategic transformation of its placement operations and is seeking a Business Analyst to play a key role in delivering this change. This full-time contract position is ideal for someone with strong experience in structured commercial insurance markets and a deep understanding of broking workflows.

Key Responsibilities:

Placement Process Transformation

* Collaborate with business and operations teams to define and optimise placement workflows.
* Support solution design, testing, and implementation phases, including training and post-launch support.
* Improve processes across document creation, order handling, endorsements, and post-placement activities.

Stakeholder Engagement

* Act as a conduit between broking teams, operational leads, technology partners, and external vendors.
* Lead workshops and interviews to gather and translate business requirements.

Process & Systems Analysis

* Map current and future state workflows using tools like Visio and JIRA.
* Work with broking platforms and CRM integrations (e.g., Salesforce).
* Ensure alignment with internal governance and industry conduct standards.

Governance & Reporting

* Maintain RAID logs and contribute to project documentation.
* Deliver insights and metrics to support continuous improvement.

What You'll Bring:

* Proven experience in insurance broking, ideally within structured or regulated markets such as the London insurance ecosystem.
* Strong understanding of placement processes across the full lifecycle.
* Proficiency in tools like Azure DevOps, Visio, and Salesforce.
* Excellent communication and stakeholder management skills.
* Experience working in Agile environments and managing multiple workstreams.
* Familiarity with regulatory compliance and operational risk frameworks.