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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 Opportunity: Lead Azure Data Engineer (Remote - 500/day Outside IR35)

We're hiring for a Lead Azure Data Engineer to join our team on a hybrid contract based in London, supporting key finance stakeholders and transforming our data platform. This role offers the chance to shape the future of financial reporting through cutting-edge cloud engineering and data architecture.

Location: Central London (UK-based candidates only)
Rate: £500/day
IR35 Status: Outside IR35
Start Date: ASAP - Interviews next week
Duration: 6 months with potential for extension

The Role

You'll lead the design and delivery of scalable data products that support financial analysis and decision-making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure.

Key Responsibilities

• Build and enhance ETL/ELT pipelines in Azure Databricks
• Develop facts and dimensions for financial reporting
• Collaborate with cross-functional teams to deliver robust data solutions
• Optimize data workflows for performance and cost-efficiency
• Implement governance and security using Unity Catalog
• Drive automation and CI/CD practices across the data platform
• Explore new technologies to improve data ingestion and self-service

Essential Skills

• Azure Databricks: Expert in Spark (SQL, PySpark), Databricks Workflows
• Data Pipeline Design: Proven experience in scalable ETL/ELT development
• Azure Services: Data Lake, Blob Storage, Synapse
• Data Governance: Unity Catalog, access control, metadata management
• Performance Tuning: Partitioning, caching, Spark job optimization
• Cloud Architecture: Infrastructure-as-code, monitoring, automation
• Finance Domain Knowledge: Experience with financial systems and reporting
• Data Modelling: Kimball methodology, star schemas
• Retail Experience: Preferred but not essential

About the Team

We're a collaborative data function made up of BI Developers and Data Engineers. We work end-to-end on solutions, share knowledge, and support each other's growth. Our culture values curiosity, innovation, and continuous learning.

Interested?

We have limited interview slots next week and aim to fill this role by the end of the month. Please send me a copy of your CV if you meet the requirements

Technical Delivery Lead - GCP
Location: London 3 days a week/ Leeds 2 days a month
Employment Type: Fixed Term Contract OR Umbrella Contract
Business Unit: Banking / Data Management

A global data and AI-driven transformation company is seeking an experienced Technical Delivery Lead to oversee the delivery of a scalable, enterprise-grade data platform on Google Cloud Platform (GCP). This role is ideal for a strategic leader who excels in coordinating cross-functional teams and aligning technology initiatives with business outcomes.

Role Overview
The Technical Delivery Lead will manage the end-to-end delivery life cycle of GCP-based data initiatives. This includes orchestrating teams, managing dependencies, and ensuring alignment with modern data principles and cloud best practices. The role emphasises leadership, stakeholder engagement, and proactive risk management rather than hands-on engineering.

Key Responsibilities

• Lead delivery of GCP-based data platform projects, ensuring strategic alignment and timely execution
• Coordinate cross-functional teams including data engineers, architects, QA, and DevOps
• Manage project phases from design through deployment, maintaining delivery velocity and quality
• Facilitate retrospectives and feedback sessions to drive continuous improvement
• Collaborate with architects to evolve technical roadmaps and ensure platform scalability
• Maintain transparent communication with stakeholders and PMO, identifying risks early
• Champion Agile methodologies and governance frameworks across delivery streams
• Mentor team members and promote a culture of accountability and collaboration

Required Experience

• 10+ years in technology delivery, data engineering, BI, or architecture
• Minimum 3 years as a Delivery Lead or Technical Lead for cloud data projects (GCP preferred)
• Strong understanding of Agile/Scrum, DevOps, CI/CD, and cloud-native delivery models
• Familiarity with GCP services such as BigQuery, Dataflow, Cloud Composer, and Pub/Sub
• Knowledge of modern data architectures including lakehouse, ELT, and schema design
• Awareness of compliance frameworks such as GDPR, HIPAA, and RBAC
• Excellent leadership, communication, and stakeholder management skills
• Bachelor's degree required; Master's preferred

Either £110k or Umbrella at £550/day Inside

Eligibility
Applicants must already be eligible to work in the United Kingdom

If you meet these requirements, please send me a copy of your CV

DataStage Developer (Mappings)

X1 Senior and X1 Junior


This position requires a strong grasp of data transformation processes and the ability to work effectively within an Agile environment. The successful candidate will be responsible for designing, developing, and implementing DataStage mappings aligned with project requirements and industry best practices.


Key Responsibilities
* Design, develop, and implement DataStage mappings in accordance with project requirements and industry standards.
* Apply MOSAIC or IBM 10-step Data Migration Methodologies to ensure robust and effective data transformation.
* Collaborate with cross-functional teams to understand business needs and deliver tailored data solutions.
* Implement XML, XSLT, and other relevant technologies for data manipulation and transformation.
* Use Jira for project management, task tracking, and progress monitoring.
* Uphold high standards of code quality, efficiency, and performance.
* Provide mentorship and support to junior team members.


Job Role / Specialty
* Data Engineer - Data Modeling
Service Context
* Service: Hybrid Cloud & Data
* Service Area: Big Data Services


Required Skills and Qualifications
* Eligibility Requirement: Must be a UK national with a minimum of 5 years residency.
* Proven experience with DataStage Designer and mapping development.
* Deep understanding of MOSAIC or IBM 10-step Data Migration Methodologies.
* Proficiency in XML, XSLT, and other data manipulation technologies.
* Familiarity with Agile methodologies and Jira for effective project management.
* Strong analytical and problem-solving skills with a commitment to continuous learning.
* Excellent communication skills, capable of engaging with both technical and non-technical stakeholders.
* A degree in Computer Science, Information Systems, or equivalent professional experience.

Details:

Fully Remote
Duration: 7 months
Inside IR35



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

Contract Data Scientist - London - £700/pd

Please note - this role will require you to be on-site in London 2-3 days per week. You must have the unrestricted right to work in the UK to be eligible for this role.

Overview:
We're hiring a Data Scientist for a leading organisation in London, offering a 6-month contract at £700/day (Inside IR35). This hybrid role requires 2 days per week on-site and focuses on delivering advanced AI and data science solutions using cutting-edge technologies.

Key Responsibilities:

• Design and implement machine learning models to solve complex business problems.
• Develop and deploy AI models using Python and Azure.
• Perform data analysis and build scalable solutions using SQL and other data science tools.
• Collaborate with cross-functional teams to integrate AI into enterprise systems.

Required Skills:

• Strong experience in Machine Learning, AI Modelling, and Data Science.
• Proficiency in Python, SQL, and Azure.
• Hands-on experience with modern AI and data science technologies.
• Ability to work in a fast-paced, collaborative environment.

What's on Offer:

• £700/day (Inside IR35)
• 6-month contract with potential for extension
• Hybrid working (2 days on-site in London)
• Opportunity to work on high-impact AI initiatives

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.

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

Data Scientist - Contract


This position involves developing AI and data science solutions to address key business challenges in the insurance sector. The work includes close collaboration with underwriters, product managers, and other stakeholders to ensure meaningful business impact. Projects may include building a digital high net worth insurance product or a portfolio analysis tool.

Key Responsibilities
* Participate in all phases of the software development lifecycle
* Design and document solutions following internal delivery frameworks
* Adhere to coding, testing, and design standards and best practices
* Collaborate with testing teams during product testing and user acceptance
* Support deployment activities across environments
* Provide regular updates on progress, risks, and issues
* Troubleshoot and resolve operational issues promptly
* Pursue certifications to enhance software engineering skills

Candidate Profile
* Familiarity with the insurance industry
* Proficiency in Python for traditional data science
* Experience with generative AI tools, especially Gemini
* Knowledge of cloud platforms such as Azure or GCP
* Ability to interpret technical design documentation
* Strong communication skills across disciplines
* Experience working in Agile environments
* Effective time management and prioritisation
* Strong analytical and problem-solving capabilities
* Comfortable working in fast-paced, ambiguous settings
* Holds a degree in Information Technology or Computer Science

London 2 days a week
Outside IR35
Need someone immediately available

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

Data Engineer - GCP
Location: Hybrid - UK-based
Type: Full-Time | Permanent

A high-growth, specialist financial services organisation is seeking a skilled Data Engineer with strong expertise in Google Cloud Platform to join its expanding technology team. This is a rare opportunity to shape and scale a next-generation data platform at an enterprise level, supporting data-driven decision-making across a complex, fast-paced business.

The successful candidate will help architect and deliver robust GCP-based data solutions, drive automation, and play a central role in building a best-in-class data ecosystem.

---

Key Responsibilities

• 
  
  Design, build, and maintain scalable data pipelines using GCP-native services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage (GCS).
• 
  
  Support the end-to-end data lifecycle - from ingestion and transformation to modelling and serving - optimised for performance and cost-efficiency.
• 
  
  Collaborate closely with stakeholders across data science, analytics, engineering, and operations to align data capabilities with business needs.
• 
  
  Drive automation and CI/CD for data workflows using Infrastructure-as-Code tools (e.g., Terraform, Deployment Manager) and DevOps practices.
• 
  
  Implement data governance frameworks including metadata management, lineage tracking, role-based access control, and data quality monitoring using tools such as GCP Data Catalog.
• 
  
  Contribute to a hybrid cloud data architecture, integrating GCP with other platforms (e.g., Azure) where needed.
• 
  
  Ensure compliance with data privacy and regulatory standards (e.g., GDPR), in collaboration with security and compliance teams.

---

Key Skills and Experience

• 
  
  Strong hands-on experience with Google Cloud Platform, including:
  • 
    
    BigQuery, Dataflow, Cloud Composer, Pub/Sub, Cloud Storage, IAM
• 
  
  Experience with ETL/ELT design, orchestration, and real-time or batch processing in GCP environments.
• 
  
  Proficiency in Python or PowerShell for scripting and pipeline automation.
• 
  
  Knowledge of Infrastructure-as-Code (e.g., Terraform) and experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
• 
  
  Familiarity with cloud monitoring, logging, and cost optimisation tools such as Stackdriver and Cloud Monitoring.
• 
  
  Experience implementing data governance and security best practices (e.g., RBAC, encryption, auditing).
• 
  
  Solid understanding of data modelling, data warehousing, and analytics integration.
• 
  
  Experience integrating with visualisation platforms such as Looker, Tableau, Power BI, or Domo.
• 
  
  Insurance industry data knowledge (e.g., policies, premiums, claims) is beneficial but not required.

---

The Ideal Candidate

This role suits someone passionate about cloud-native data engineering who thrives in a collaborative, high-performance environment. They will have a strong technical foundation in GCP, a proactive mindset, and a desire to build innovative, reliable data infrastructure at scale.

---

What's on Offer

• 
  
  A key role in building and scaling a modern GCP-based data platform.
• 
  
  Work with a high-calibre team in a rapidly growing firm with ambitious tech and data goals.
• 
  
  Competitive salary and benefits.
• 
  
  Flexible working options (hybrid within the UK).

---

Want to shape the future of enterprise data on GCP?
Apply now to join a forward-thinking team at the forefront of data innovation. Reach out to Marley Taylor at Tenth Revolution Group for more information on this role: m.taylor@tenthrevolution.com

Infastructure/ Backend Developer


Contract Type: 6-month initial engagement
Start Date: 1st December 2025
Location: Remote (UK-based)
Rate: £350 per day (Inside IR35)
Clearance Required: BPSS prior to start

MUST HAVE NHS OR GOVERNMENT EXPERIENCE


Role Overview
The client is seeking a mid-to-senior level contractor with strong backend and infrastructure development experience. The successful candidate will work on maintaining and upgrading a legacy Java/Oracle system, collaborating with existing developers to gain domain knowledge and contribute to modernisation efforts using cloud-based technologies.

Key Responsibilities
* Maintain and enhance a monolithic Java application with an Oracle PL/SQL database
* Pair with existing developers to understand system architecture and business processes
* Contribute to modernisation efforts and cloud-based development practices
* Provide 3rd line support and develop tools to streamline support operations
* Apply test-driven development and CI/CD methodologies in an Agile environment

The ideal candidate will:
* Have strong backend development experience, ideally with SQL and RDS
* Demonstrate excellent problem-solving skills and a passion for working with data
* Be comfortable working with legacy Oracle PL/SQL code and motivated to improve it
* View legacy systems as an opportunity to gain valuable domain knowledge
* Embrace 3rd line support responsibilities and seek ways to automate and improve support processes
* Be proficient in test-driven development and collaborative Agile practices
* Have familiarity with Python or a willingness to learn it
* Exhibit strong communication and stakeholder engagement skills

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