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Job Title: PMO Analyst - Power BI & Digital Portfolio

Location: Flexible / Remote / Hybrid options available
Contract Type: Permanent / Full-Time

Overview

An exciting opportunity has arisen for a PMO Analyst with advanced Power BI capabilities to join a global digital technology team driving transformation across a diverse portfolio of programmes and projects. This role sits within a central Portfolio Office and supports the delivery of strategic digital initiatives through data-driven insights, automation, and reporting excellence.

Key Responsibilities

* Collaborate with project delivery and business analysis teams to enhance portfolio reporting and dashboard development.
* Design and build Power BI dashboards for operational and executive-level decision-making.
* Maintain and innovate digital tools used for internal project and programme delivery.
* Identify and implement process improvements, automation opportunities, and workflow enhancements using tools such as Power Automate and AI.
* Ensure data integrity, quality, and timeliness across portfolio data models.
* Update and manage core datasets to support accurate reporting.
* Liaise with internal Power Platform teams to ensure alignment with governance and standards.

Essential Skills & Experience

* Minimum 3 years' experience in a PMO or project management role using best practice delivery disciplines, including Agile methodologies.
* Strong analytical skills with the ability to work across disparate datasets to generate actionable insights.
* Advanced proficiency in Power BI, including dashboard/report development for various audiences.
* Experience with SQL, DAX, and Power Query for data extraction, transformation, and loading.
* High-level Excel skills for data manipulation and analysis.
* Familiarity with tools such as Microsoft Project Online, Office 365, and Azure.
* Solid foundation in risk assessment, problem resolution, and stakeholder influence.

Desirable Qualifications & Experience

* Professional certifications in project, programme, or portfolio management (e.g., Prince2, PMP, MSP, MoP, P3O).
* Strong commercial awareness and financial literacy.
* Degree-level education.
* Experience working in a large global organisation or within the architecture, engineering, or construction sectors.
* Proven ability to drive behavioural and capability change across teams.
* Experience with Azure DevOps or similar platforms.
* Familiarity with Power Automate for workflow automation.
* High-quality business and executive-level report writing.

Personal Attributes

* Detail-oriented and committed to delivering high-quality work.
* Collaborative and team-focused, with a flexible and adaptive approach.
* Passionate about diversity and inclusion, recognising the value of varied perspectives.
* Proactive problem-solver with a pragmatic mindset.
* Strong communicator with the ability to tailor messaging to different audiences.
* Self-motivated and capable of managing competing priorities.
* Quick learner who embraces new technologies and brings others along the journey.

6 Month Contract

Outside IR35

Please send a copy of your CV if you meet these requirements

Platform Engineer - Data & AI Infrastructure

Location: Remote / UK-based
Type: Full-time

You must have strong Databricks and Unity Catalog experience

Skills / Approaches:

* Proven experience with Terraform for Azure infrastructure as code.

* Strong knowledge of GitHub Actions and general CI/CD principles.

* Hands-on experience with Azure Private Link and Private Link Service.

* Expertise in Databricks and Unity Catalog for data governance.

* Solid understanding of Azure Policy and compliance enforcement.

* Strong background in identity and access management, including OAuth and federated credentials.

* Deep understanding of Azure security best practices, including Defense in Depth, BCDR, and high availability.

If you meet these requirments please send me a copy of your CV to a.otoole@tenthrevolution.com

Contract Role: Data Engineer - Azure Migration Project
Location: Hybrid (2 days/week onsite in London)
Contract Length: 6 months
Day Rate: £450/day (Outside IR35)
Start Date: ASAP
Sector: Consultancy

Overview

We are recruiting on behalf of a consultancy client for an experienced Data Engineer to support a strategic data migration project. The role involves migrating legacy data systems to a modern Azure-based architecture, with a focus on performance, scalability, and reliability.

Responsibilities

* Design and implement robust data migration pipelines using Azure Data Factory, Synapse Analytics, and Databricks
* Develop scalable ETL processes using PySpark and Python
* Collaborate with stakeholders to understand legacy data structures and ensure accurate mapping and transformation
* Ensure data quality, governance, and performance throughout the migration lifecycle
* Document technical processes and support knowledge transfer to internal teams

Required Skills

* Strong hands-on experience with Azure Data Factory, Synapse, Databricks, PySpark, Python, and SQL
* Proven track record in delivering data migration projects within Azure environments
* Ability to work independently and communicate effectively with technical and non-technical stakeholders
* Previous experience in consultancy or client-facing roles is advantageous

Job Title: Data Modeller
Location: London (Hybrid - 3 Days Onsite Per Week)
Employment Type: Outside IR35 / Contract 6 months

A leading insurance organisation is seeking a mid-level Data Modeller to support enterprise data initiatives across multiple business lines. This is a contract opportunity suited to someone who thrives in a collaborative, fast-paced environment and brings strong domain knowledge in insurance data.

Key Responsibilities

* Develop and maintain conceptual and logical data models aligned with business processes and insurance domain requirements.
* Collaborate with analysts, SMEs, and stakeholders to gather and translate requirements into scalable data models.
* Ensure consistency and integrity of data models across retail, specialist, and reinsurance lines.
* Document data structures and business rules using tools such as ERwin, PowerDesigner, or Sparx EA.
* Uphold data modelling standards and governance practices.
* Work closely with architecture and process improvement teams to ensure alignment.
* Contribute to metadata management, data lineage, and master/reference data initiatives.
* Support data quality and remediation efforts.
* Facilitate stakeholder workshops and build strong relationships with end users.
* Communicate effectively across technical and non-technical audiences.

Skills & Experience

* Minimum 5 years of experience in data modelling, ideally within the insurance sector.
* Proven experience in data governance and delivery of data models.
* Strong understanding of Master and Reference Data Management.
* Certifications such as CDMP, TOGAF, or DAMA are advantageous.
* Excellent communication and facilitation skills.
* Ability to work independently and manage priorities in a dynamic environment.

Working Arrangement

* Based in London with a hybrid working model (minimum 3 days onsite per week).
* English-speaking environment.
* Contract engagement outside 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

Platform Engineer - Data & AI Infrastructure

Location: Remote / UK-based
Type: Full-time

You must have strong Databricks and Unity Catalog experience

Skills / Approaches:

* Proven experience with Terraform for Azure infrastructure as code.

* Strong knowledge of GitHub Actions and general CI/CD principles.

* Hands-on experience with Azure Private Link and Private Link Service.

* Expertise in Databricks and Unity Catalog for data governance.

* Solid understanding of Azure Policy and compliance enforcement.

* Strong background in identity and access management, including OAuth and federated credentials.

* Deep understanding of Azure security best practices, including Defense in Depth, BCDR, and high availability.

If you meet these requirments please send me a copy of your CV to a.otoole@tenthrevolution.com

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

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

Role Title: Business Analyst

Job: Experienced Business Analyst - Insurance Broking (Placement Project)

Location: London (Hybrid)

Role Purpose: To help deliver business analysis activities within the Placement Project, supporting the transformation of broking operations and systems. The role focuses on optimising placement workflows, enhancing operational efficiency, and ensuring alignment with regulatory and strategic objectives.

Key Responsibilities:

* Placement Project Delivery:

* Collaborate with Operations and Business stakeholders to define and document requirements for the Placement Programme.
* Analyse and improve placement workflows including MRC creation, firm order processing, endorsements, and post-placement activities .
* Support the design, configuration, testing, and go-live phases of the placement solution, including training and hyper-care periods.

* Stakeholder Engagement:

* Act as a liaison between broking teams, operations, technology, and external vendors.
* Facilitate workshops and interviews to gather business requirements and translate them into actionable deliverables.

* Process & Systems Analysis:

* Map current and future state processes using tools like Visio and JIRA.
* Work with broking software platforms and Salesforce integrations.
* Ensure compliance with operational manuals and FCA Conduct Rules.

* Project Governance & Reporting:

* Maintain RAID logs, contribute to project documentation.
* Provide metrics and insights to support continuous improvement and benefit realisation.



Skills & Experience Required:

Proven experience in insurance broking, particularly within the London Market.

Strong understanding of placement processes, including pre-placement, placement, and post-placement workflows.

Proficiency in business analysis tools (Azure DevOps, Visio), and Salesforce.

Excellent communication and stakeholder management skills.

Experience working in Agile environments and across multiple concurrent projects.

Familiarity with regulatory frameworks and operational risk management.

Data Engineer (Databricks & Azure) - 3-Month Rolling Contract

Rate: £400-£450 per day
Location: Remote
IR35 Status: Outside IR35
Duration: Initial 3 months (rolling)

About the Company

Join a leading Databricks Partner delivering innovative data solutions for enterprise clients. You'll work on cutting-edge projects leveraging Databricks and Azure to transform data into actionable insights.

About the Role

We are seeking an experienced Data Engineer with strong expertise in Databricks and Azure to join our team on a 3-month rolling contract. This is a fully remote position, offering flexibility and autonomy while working on high-impact data engineering initiatives.

Key Responsibilities

* Design, develop, and optimize data pipelines using Databricks and Azure Data Services.
* Implement best practices for data ingestion, transformation, and storage.
* Collaborate with stakeholders to ensure data solutions meet business requirements.
* Monitor and troubleshoot data workflows for performance and reliability.

Essential Skills

* Proven experience with Databricks (including Spark-based data processing).
* Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.).
* Proficiency in Python and SQL for data engineering tasks.
* Understanding of data architecture and ETL processes.
* Ability to work independently in a remote environment.

Nice-to-Have

* Experience with CI/CD pipelines for data solutions.
* Familiarity with Delta Lake and ML pipelines.

Start Date: ASAP
Contract Type: Outside IR35
Apply Now: If you're a skilled Data Engineer looking for a flexible, remote opportunity with a Databricks Partner, we'd love to hear from you!