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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.

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

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Key Skills and Experience

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

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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.

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What's on Offer

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

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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

Contract Databricks Platform Engineer - Remote - £525/pd

Please note - whilst this role is fully remote, applications will only be accepted by candidates who live in the UK permanently and have the unrestricted right to work in the UK. This organisation is unable to offer sponsorship.

A well-established UK-based Data & AI consultancy is looking for a Databricks Platform Engineer to support the rollout of a Databricks platform for a major finance client.

Key Responsibilities:

• Support the deployment and configuration of Databricks with Unity Catalog.
• Implement infrastructure as code using Terraform.
• Set up and manage CI/CD pipelines with GitHub Actions.
• Ensure robust Azure security and cost management practices.
• Collaborate with client teams to ensure smooth platform adoption.

Required Skills:

• Strong experience with Databricks and Unity Catalog.
• Proficiency in Terraform, GitHub Actions, and CI/CD.
• Solid understanding of Azure security and cost optimisation.
• Experience working with enterprise clients in a consultancy setting is a plus.

Why Apply?

• Work with a top-tier consultancy on a high-impact project.
• Fully remote flexibility.
• Competitive day rate outside IR35.
• Quick start in early October.

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.

Senior software engineer (backend) - 6 month project (potential extension) - Full time - Stockholm

We're looking for a seasoned backend engineer who thrives in technical ambiguity and working across the full engineering lifecycle, from solving complex API challenges, to seamless integrations with customer platforms.

This isn't your typical backend role. Yes, you'll write code but your real impact will come from untangling complexity, aligning teams, and driving technical clarity across multiple layers of the stack and organization.

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🚀 What You'll Do

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  Lead technical initiatives end-to-end, from scoping to deployment
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  Work hand-in-hand with product managers, external partners, and internal stakeholders
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  Own integrations with a wide range of third-party APIs and hardware devices
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  Navigate complex cloud infrastructure and distributed systems
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  Bring structure and clarity to fast-moving, ambiguous environment

This is a backend-first role where you'll be deeply involved in:

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  API design and integration
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  Distributed systems and cloud operations
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  Automation and data pipelines
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  Real-world, IoT-scale device integrations (think: solar panels, EV chargers, batteries - all speaking different languages)

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🛠 Our Stack

We're tech-agnostic when it makes sense, but here's what you'll mostly work with:

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  Golang (must-have)
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  AWS (our primary production cloud) - Lambda, RDS, IoT Core, and more
• 
  
  GCP (mostly on the analytics and data side) - Cloud Run, BigQuery, Python
• 
  
  MQTT and other protocols for

This role is deeply backend-focused, but it touches systems-level thinking, infrastructure, and real-world connected devices.

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🧠 Who We're Looking For

You're a good fit if you:

• 
  
  Have experience at the Staff, Principal, or very Senior Engineer level
• 
  
  Have worked in startups or high growth environments
• 
  
  Are comfortable owning complex technical projects from idea to production
• 
  
  Know how to collaborate across function, especially with product and external technical teams
• 
  
  Love diving into murky, layered systems and driving towards clarity
• 
  
  Bring a high level of technical ownership and curiosity

Bonus points if you've worked with IoT and energy systems, but not a must-have.

Databricks Platform Engineer - Outside IR35 Contract

Please note - this role will require you to be based in the UK with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship.

An experienced Platform Engineer is required to support the rollout and maintenance of a large, federated, multi-service Data and AI platform. The role focuses on building secure, scalable, and cost-optimised cloud infrastructure, implementing governance, and enabling advanced data services.

Key Responsibilities

• Build and maintain Azure infrastructure using Terraform.
• Implement governance and compliance controls, including Azure Policy.
• Configure and manage Azure Private Link and Private Link Service.
• Enable advanced data services with Databricks and Unity Catalog for data governance.
• Develop CI/CD pipelines using GitHub Actions.
• Ensure security best practices, including Defense in Depth, BCDR, and high availability.
• Manage identity and access, including OAuth and federated credentials.
• Optimise cloud costs and monitor usage effectively.

Essential Skills

• Proven experience with Terraform for Azure infrastructure as code.
• Strong knowledge of GitHub Actions and CI/CD principles.
• Strong experience with Databricks and Unity Catalog for advanced data governance.
• Hands-on experience with Azure Private Link and Private Link Service.
• Strong understanding of Azure security best practices and compliance.
• Experience in identity and access management.
• Familiarity with Azure cost management strategies.

Additional Details

• Must be available to start in November.
• Outside IR35 contract.
• Home-based.
• 3-month initial term with potential for extension.
• Competitive day rate: £400-£500.

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

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.

Data Mapping Engineer - UK Based (Security Clearance Required)


We are seeking an experienced Data Mapping Engineer to design and implement robust data mapping solutions across diverse systems and formats. This role involves working with structured and semi-structured data, ensuring accurate transformation and integration, and supporting broader data migration efforts. Candidates must have hands-on experience with IBM Maximo Asset Management software and meet UK security clearance requirements.


Key Responsibilities:
* Analyse and interpret source and target data structures (e.g., databases, XML, JSON, CSV, EDI)
* Define and document data mappings, transformation logic, and integration rules
* Collaborate with data architects, analysts, and subject matter experts to ensure semantic consistency
* Validate mapping outputs and resolve data discrepancies
* Ensure compliance with data quality, privacy, and security standards
* Maintain documentation and metadata for traceability and governance
* Support knowledge sharing and contribute to best practices within the team


Essential Requirements:
* UK national with at least five years of residency (required for security clearance)
* Proven experience in data modelling at conceptual and logical levels
* Background in data mapping, transformation, or integration (e.g., technical business analyst or data analyst)
* Proficiency in working with data formats such as XML, JSON, CSV, EDI, XLSX
* Strong communication and collaboration skills
* Fluent in English


Desirable Skills:
* Familiarity with ETL tools or data integration platforms (e.g., IBM DataStage, Palantir)
* Experience with documentation tools and specifications (e.g., Excel-based mapping documents, BPMN, UML)
* Proficiency in XML tooling, XSLT, and DataStage Designer
* Experience with IBM Maximo Asset Management software

Inside IR35
Fully Remote


This is a UK-based role requiring security clearance. Applicants must meet nationality and 5 years residency and residency criteria.

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

Monitoring an Analytics Security Engineer (Contract, PAYE via Umbrella)


A cutting-edge engineering team is seeking a skilled Security Engineer to support the development of a telemetry pipeline MVP. This contract role demands deep expertise in containerised environments, observability tooling, and secure infrastructure design. The successful candidate will embed security across the pipeline architecture and collaborate closely with DevOps and development teams.


Key Responsibilities
* Design and implement security controls across Kubernetes and OpenShift environments
* Ensure secure configuration and access management within GitLab and CI/CD pipelines
* Integrate and secure telemetry tools including Cribl, Elastic, Splunk, Fluentd, and Syslog
* Conduct threat modeling, vulnerability assessments, and risk analysis
* Collaborate with DevOps engineers to embed security into infrastructure-as-code workflows
* Monitor and respond to security events from observability platforms
* Maintain documentation of security architecture, policies, and incident response procedures


Required Skills & Experience
* Strong hands-on experience with Kubernetes and OpenShift in secure production environments
* Proficiency in GitLab and secure CI/CD pipeline practices
* Familiarity with telemetry and logging tools: Cribl, Elastic, Splunk, Fluentd, Syslog
* Deep understanding of networking protocols, firewalls, VPNs, and security principles
* Experience with security frameworks (e.g., NIST, ISO 27001) and compliance requirements
* Knowledge of container security tools (e.g., Aqua, Twistlock, Trivy) and vulnerability scanners
* Excellent analytical and communication skills


Preferred Qualifications
* Certifications such as CISSP, CISM, CKS, or equivalent
* Experience in building MVPs or working in startup-like environments
* Familiarity with cloud security across AWS, Azure, or GCP


Additional Details
* Contract engagement must be operated via PAYE through an umbrella company

Hybrid

Inside IR35

Knutsford or Glasgow Hybrid

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