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For Permanent and Contract, DevOps

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    Analytics Solution Engineer

    England, London, City of London

    • £400 to £450 GBP
    • Engineer Role
    • Skills: Azure Databricks * Git / GitHub * DevOps & Cloud Operations * Azure Functions * Data Streaming * PySpark, Python, SQL * Automation & Public Cloud * Cloud Infrastructure * Terraform * Palantir Foundry * PowerBI
    • Seniority: Senior

    Job description

    Analytics Solution Engineer- Contract Opportunity

    Remote
    Inside IR35
    6 Months

    Responsibilities
    * Managing and resolving platform issues, alerts, and incidents
    * Maintaining platform artefacts including secrets, clusters, and release components across Palantir Foundry and Azure Databricks
    * Supporting Data Engineers with pipeline creation and platform usage
    * Implementing Terraform modules, performing health checks, managing secrets, and overseeing release processes
    * Conducting GitHub peer reviews and taking ownership of software components
    * Ensuring reliability and performance of Databricks and Palantir Foundry platforms
    * Delivering DevOps work to build analytics infrastructure, support redlines, and improve processes
    * Performing audit data analysis, data restore operations, immutable backups, networking and access configuration
    * Managing PowerBI gateways, VM reservations, Event Hub TUs, serverless compute clusters, and Terraform deployments

    Required Skills
    * Azure Databricks
    * Git / GitHub
    * DevOps & Cloud Operations
    * Azure Functions
    * Data Streaming
    * PySpark, Python, SQL
    * Automation & Public Cloud
    * Cloud Infrastructure
    * Terraform
    * Palantir Foundry
    * PowerBI
    * Software Lifecycle Management

    If you meet the requirements please send me a copy of your

    New

    Head of Engineering

    England, London

    • £80,000 to £150,000 GBP
    • Engineer Role
    • Skills: Python, Devops, QA, ML, aws, data science, spark, databricks,
    • Seniority: Senior

    Job description

    Head of Engineering - Permanent

    Location: Remote
    Reports to: CTO

    A fast‑growing technology company is seeking a Head of Engineering with deep experience building and scaling complex, data‑driven platforms. This role requires someone who can lead multi‑disciplinary teams, improve engineering execution, and drive technical excellence across high‑scale distributed systems and machine‑learning environments.

    Required Experience

    * Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps.
    * Proven track record designing, scaling, and maintaining distributed systems and high‑volume data pipelines.
    * Strong background in cloud‑native architectures and modern data stacks such as Spark or Databricks.
    * Experience working closely with Data Science teams, including delivering production‑grade ML models and pipelines.
    * Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross‑functional technical decisions.
    * Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability engineering, and cloud infrastructure management (AWS preferred).
    * Demonstrated ability to balance delivery speed with long‑term technical quality, reliability, and maintainability.
    * Experience hiring, mentoring, and developing engineering leaders and high‑performing teams.

    Role Overview

    You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machine‑learning capabilities at scale. The engineering organisation already uses AI‑assisted development, and you will refine these practices, improve delivery predictability, and strengthen the technical foundation for long‑term growth.

    Responsibilities

    * Lead the engineering roadmap and technical execution across all product and platform teams.
    * Guide architectural decisions in data engineering, ML, and web application development.
    * Implement engineering KPIs to improve delivery speed, quality, and reliability.
    * Develop a strong engineering culture centred on ownership, collaboration, and high performance.
    * Partner with Product, Data Science, and DevOps to deliver high‑quality, scalable solutions.
    * Manage engineering budgets, tooling, and cloud infrastructure costs.

    Preferred

    * Experience in search, advertising technology, or competitive intelligence.
    * Familiarity with ML lifecycle tooling and agentic coding approaches.

    Please send me a copy of your CV of you meet all of the above

    Azure DevOps Engineer

    Finland

    • Negotiable
    • Engineer Role
    • Skills: Azure, DevOps
    • Seniority: Mid-level

    Job description

    Job Description

    I'm supporting a client who is seeking an experienced Finnish-speaking Azure DevOps Engineer with a strong focus on identity, access management, and secure cloud operations within Azure. This role will play a key part in ensuring platforms are scalable, automated, and aligned with security best practices.



    Key Responsibilities



    *

    Design, build, and maintain CI/CD pipelines using Azure DevOps
    *

    Implement and manage Azure identity and access management, with a strong focus on Azure AD / Entra ID
    *

    Define and maintain RBAC, service principals, managed identities, and access policies across environments
    *

    Automate Azure infrastructure using Infrastructure as Code (Terraform preferred; Bicep/ARM acceptable)
    *

    Support secure application deployments across multiple environments
    *

    Work closely with engineering and security teams to enforce least-privilege access and governance standards
    *

    Monitor, troubleshoot, and improve platform reliability and security
    *

    Maintain documentation, access models, and operational runbooks



    Technical Requirements



    *

    Strong hands-on experience with Microsoft Azure in production environments
    *

    Proven experience with Azure DevOps (pipelines, repos, artifacts)
    *

    Deep understanding of Azure AD / Entra ID, IAM concepts, and access governance
    *

    Experience implementing RBAC, managed identities, service principals, and conditional access
    *

    Infrastructure as Code experience (Terraform preferred)
    *

    Experience with containers and orchestration (Docker, Kubernetes / AKS)
    *

    Scripting experience (PowerShell, Bash, or similar)
    *

    Familiarity with monitoring and logging tools (Azure Monitor, Log Analytics, Application Insights)



    Nice to Have



    *

    Experience working in regulated or security-conscious environments
    *

    Knowledge of Azure Policy, PIM, and access reviews
    *

    Experience supporting microservices architectures
    *

    Background working closely with security or platform teams

    Snowflake DevOps Engineer - Fully Remote - £450/pd

    England, London, City of London

    • £400 to £450 GBP
    • Engineer Role
    • Skills: Snowflake, azure, devops, engineer, it, data
    • Seniority: Mid-level

    Job description

    Snowflake DevOps Engineer - Fully Remote - £450/pd (Outside IR35)

    Please note - this role is only open to applicants who are based in the UK with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship.

    About the Role

    We are seeking an experienced Snowflake DevOps Engineer to join our team on a 6-month contract. This is a fully remote position, but candidates must be based in the UK and have unrestricted right to work in the UK.

    You will play a key role in designing, implementing, and maintaining robust DevOps practices for Snowflake environments, leveraging Azure DevOps for Infrastructure as Code (IaC), networking, security, and containerisation.

    Key Responsibilities

    * Build and maintain automated deployment pipelines for Snowflake using Azure DevOps.
    * Implement Infrastructure as Code (IaC) for scalable and secure environments.
    * Ensure best practices in networking and security within cloud-based data platforms.
    * Support containerisation strategies and integration with Snowflake.
    * Collaborate with cross-functional teams to deliver high-quality solutions.

    Essential Skills & Experience

    * Proven experience as a DevOps Engineer with Snowflake.
    * Strong proficiency in Azure DevOps tools and practices.
    * Expertise in IaC, networking, and security within cloud environments.
    * Hands-on experience with containerisation technologies (e.g., Docker, Kubernetes).
    * Excellent problem-solving and communication skills.

    Contract Details

    * Duration: 6 months
    * Rate: £450/day (Outside IR35)
    * Location: Fully remote (UK-based only)
    * Start Date: End of January 2026
    * Interview Process: Two stages

    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.

    Analytics Engineer

    England, London, City of London

    • £300 to £350 GBP
    • DevOps Role
    • Skills: r, python, azure, gcp, c++, sql, data governance, data quality, hadoop, spark, power bi, databricks, data modelling,
    • Seniority: Senior

    Job description

    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 Databricks Engineer - Contract

    England, London

    • £450 to £500 GBP
    • Engineer Role
    • Skills: Azure, Databricks, azure, python, sql, data quality,
    • Seniority: Senior

    Job description

    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

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