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For Permanent and Contract in London

    Analytics Engineer

    England, London

    • £70,000 to £85,000 GBP
    • Consultant Role
    • Skills: BigQuery, DBT, Tableau
    • Seniority: Mid-level

    Job description



    Analytics Engineer

    Location: London

    About the Role:
    We are seeking an experienced Analytics Engineer to help design and scale a modern data platform for a global organisation. This role is ideal for someone passionate about building robust data architectures, enabling actionable insights, and driving analytics maturity across the business.
    • Enjoy owning the full analytics workflow from raw ingestion to dashboards.
    • Value clean, documented, and tested data models.
    • Have a product mindset and embrace stakeholder feedback.
    • Stay current with modern data tooling and best practices.




    Key Responsibilities:
    • Design and maintain scalable data warehouse architecture using the Medallion model (Bronze/Silver/Gold layers).
    • Build, test, and deploy dbt/dataform models with reusable SQL-based transformations.
    • Develop and optimise BI dashboards and data products using Tableau, translating business needs into visual insights.
    • Orchestrate and monitor data pipelines, ensuring data quality and timely delivery.
    • Implement data quality checks, observability, and maintain data cataloging and lineage.
    • Drive CI/CD practices using GitHub Actions or similar tools.
    • Collaborate with cross-functional teams to improve platform capabilities and analytics maturity.


    Requirements:
    • Proven experience in BigQuery and dbt/dataform for data warehousing and transformation.
    • Strong SQL skills and understanding of modern data architecture principles.
    • Hands-on experience with Tableau for enterprise-grade dashboard development.
    • Familiarity with orchestration tools (e.g., Prefect, Airflow), data quality frameworks, and metadata tools.
    • Proficiency in Git, CI/CD, and scripting with Python.
    • Excellent communication skills and ability to work collaboratively across technical and business teams.

    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

    Senior Sales Executive - Data

    England, London

    • £80,000 to £100,000 GBP
    • Engineer Role
    • Skills: Data Engineering & Analytics - Cloud Platforms (Azure, AWS, Snowflake, Databricks)
    • Seniority: Senior

    Job description



    Senior Sales Executive - Data & Analytics

    London - Hybrid - Data Engineering & Analytics - Cloud Platforms (Azure, AWS, Snowflake, Databricks) £80k - £100k



    Join a high‑growth, high‑impact data consultancy

    A leading provider of data engineering, analytics, cloud data platforms, and AI‑driven solutions, this organisation partners with mid‑market and enterprise businesses across the UK to help them modernise, transform, and unlock the real value of their data.

    If you're a motivated sales professional who thrives in a fast‑moving, high‑demand environment, this is the ideal place to excel. You'll benefit from the support of world‑class pre‑sales specialists, solution architects, and delivery teams-allowing you to focus on building relationships, driving revenue, and securing exciting new projects.

    This is an opportunity where you can truly make your mark, develop your career, and sell services that clients actively need and value.



    You'll work with:

    In this role, you will be responsible for:
    • Developing new business opportunities across mid‑market and enterprise clients.
    • Managing the full sales lifecycle, supported by strong pre‑sales and delivery teams.
    • Building and nurturing a healthy sales pipeline aligned to revenue targets.
    • Owning and expanding existing accounts through upsell and cross‑sell opportunities.
    • Engaging with senior stakeholders such as Heads of Data, Analytics Managers, and IT Directors.
    • Delivering presentations, solution workshops, proposals, and client discussions.
    • Collaborating closely with marketing, pre‑sales, onshore and offshore delivery teams.
    • Maintaining accurate forecasting, CRM activity, and reporting.




    Benefits

    What's on offer:
    • Competitive salary with performance‑based commissions.
    • Opportunity to sell high‑demand services in data engineering, analytics, and AI.
    • Strong pre‑sales and delivery support so you can focus on client engagement.
    • Clear pathways for career growth and continuous learning.
    • Exposure to leading UK mid‑market and enterprise clients.


    Key Experience

    We're looking for candidates with:
    • 5-7 years of B2B sales experience in Data, Analytics, Cloud, or Digital Services.
    • Experience selling consulting or managed services.
    • Strong understanding of modern data engineering and cloud platforms (Azure, AWS, Snowflake, Databricks - high‑level).
    • Excellent communication and stakeholder management skills.
    • Experience working with pre‑sales and offshore delivery models (desirable).
    • Exposure to enterprise or mid‑market clients within sectors such as Insurance, Public Sector, or BFSI (desirable).


    Ready to take the next step in your sales career?

    This is a high‑impact role in a rapidly growing organisation, don't miss the chance to be part of a leading force in the UK's data and analytics landscape.

    Data Engineer

    England, London

    • £65,000 to £80,000 GBP
    • Consultant Role
    • Skills: Remote - Azure - Databricks - up to £80k
    • Seniority: Senior

    Job description



    Data Engineer

    Remote - Azure - Databricks - up to £80k

    I'm working with a client who are a leading Microsoft consultancy that's growing fast and shaping the future of data. They are continuing to grow, driving innovation and help clients accelerate their cloud transformation journeys. With a pipeline of cutting-edge projects, this is your chance to work at the forefront of cloud data engineering and make a real impact.



    You'll Work With
    • Designing and delivering scalable projects using Databricks, Synapse & Fabric
    • Build and optimise ETL/ELT pipelines and data models with SQL & Python
    • Create advanced Power BI dashboards for actionable insights
    • Implement data lakes and medallion lakehouse architecture
    • Ensure data quality, governance & security across all solutions
    • Collaborate in an Agile environment with cross-functional teams
    • Drive cloud migrations and champion best practices in data engineering


    Benefits
    • Rapid Growth & Exciting Projects - Work on cutting-edge Microsoft Cloud solutions
    • Investment in YOU - Training, certifications & clear career pathways
    • Fully Remote - Home-based contract with travel expenses covered
    • 25 days holiday
    • Private health insurance (after one year)
    • Life assurance (4x base salary)
    • Enhanced parental pay
    • Perkbox, cycle scheme, electric car scheme




    Key experience
    • Strong background in Azure Synapse, Databricks, and/or Microsoft Fabric
    • Expertise in ETL/ELT development using SQL & Python
    • Experience with data lakes and large-scale datasets
    • Solid understanding of BI & data warehousing concepts






    Ready to take the next step in your career? Don't delay, apply now!

    Data Engineer

    England, London

    • £50,000 to £65,000 GBP
    • Engineer Role
    • Skills: Data Engineer - Databricks / Fabric - Azure
    • Seniority: Mid-level

    Job description



    Data Engineer - Databricks / Fabric - Azure - Hybrid - London - £50k-£65k

    Are you ready to take your Data Engineering career to the next level? Join one of the UK's fastest-growing consultancies and work on cutting-edge Azure projects, next-gen lakehouse architectures, and enterprise-scale transformation programmes that truly make an impact.

    This is more than just a job, it's a chance to own meaningful projects, accelerate your growth, and become part of a team that's shaping the future of data engineering.



    Why This Role Stands Out
    • Modern Tech Stack: Work hands-on with Azure Synapse, Databricks, and Microsoft Fabric on innovative solutions.
    • Enterprise Impact: Deliver scalable, high-performance data platforms for major organisations across diverse industries.
    • Career Acceleration: Structured training, funded certifications, and clear progression paths, your growth is a priority.
    • Flexibility: London office




    What You'll Do
    • Design and deliver modern data solutions using Databricks, Synapse, and Fabric.
    • Build and optimise ETL/ELT pipelines and data models with SQL & Python.
    • Develop Power BI dashboards that drive insight-led decisions.
    • Implement data lakes and medallion lakehouse architectures.
    • Champion data quality, governance, and security standards.
    • Collaborate in Agile, cross-functional teams on major cloud migration and modernisation projects.




    Looking For
    • Strong experience with Azure Synapse, Databricks, or Microsoft Fabric.
    • Solid SQL & Python skills for ETL/ELT development.
    • Hands-on experience with data lakes and large datasets.
    • Good understanding of BI, data warehousing, and modern data architectures.




    Why You'll Love It Here
    • High-Growth Environment: Be part of a consultancy that's scaling fast and leading the Microsoft data space.
    • Real Impact: Your work will shape enterprise-grade solutions and transformation programmes.
    • Continuous Learning: Certifications, training, and mentorship to keep you ahead of the curve.




    Ready to make your mark?
    Roles like this don't stay open for long, apply now and take the next big step in your career!

    new

    Senior Security Risk Specialist

    England, London

    • £600 to £650 GBP
    • Engineer Role
    • Skills: llms
    • Seniority: Senior

    Job description



    Security Risk Specialist -LLM's



    Location: London
    Department: Security Risk Management
    Reports to: Head of Security Risk Management & Assurance Inside IR35
    Two Days in London
    Must have LLM's

    Overview



    A leading technology‑driven organisation is seeking a Security Risk Specialist to support the design, implementation, and continuous improvement of its security risk management framework. This role will work across a variety of security risk activities, contributing directly to the organisation's overall security posture and the maturity of its risk function.

    This position is well‑suited to a pragmatic, motivated individual with strong experience in security risk management and an interest in modern risk practices, automation, and responsible use of AI technologies.

    Key Responsibilities

    • Operate and enhance the organisation's security risk management framework in alignment with business objectives, industry standards, regulatory requirements, and stakeholder expectations
    • Conduct security risk assessments and support the development of risk mitigation recommendations and tailored treatment strategies
    • Analyse and optimise existing risk management processes, identifying gaps and opportunities for improvement, including automation and tooling
    • Collaborate with cross‑functional teams to embed security risk management processes and advise on risks, controls, and best practices within relevant business contexts
    • Produce, track, and improve security risk metrics and reporting to strengthen visibility and decision‑making
    • Contribute to the development and refinement of security awareness and risk management training materials

    Requirements



    Candidates should have:
    • Hands‑on experience in security risk management within a fast‑paced organisation, ideally within the technology or regulated sectors
    • Experience designing, implementing, and improving processes and procedures for security risk management
    • Experience conducting security risk assessments in cloud environments
    • Understanding of technologies and operational practices used by modern agile organisations
    • Experience defining, using, and enhancing security metrics and risk reporting
    • Ability to engage effectively with both technical and non‑technical stakeholders across the business
    • Familiarity with standards such as PCI‑DSS, NIST SP800‑53, NIST CSF, ISO 27001, and SOC 2
    • Practical experience using Large Language Models (LLMs) inday‑to‑day security risk management activities, including:
      • Accelerating risk analysis and documentation
      • Supporting control gap analysis and evidence reviews
      • Assisting with the development of policies, standards, and procedures
      • Enhancing reporting, insights, and stakeholder communication
    • Ability to identify opportunities to responsibly apply automation and AI/LLMs to improve efficiency, consistency, and scalability

    Preferred

    • A blend of consulting and in‑house industry experience
    • Experience implementing enterprise‑grade integrated risk management or GRC solutions
    • Professional certifications such as CISM, CRISC, CISA, CISSP


    Please send me a copy of your CV if you meet the requirements


    new

    AI Product manager

    England, London

    • £75,000 to £115,000 GBP
    • Manager Role
    • Skills: AI Product manager
    • Seniority: Senior

    Job description



    AI Product Manager - Up to £115,000 - London (Hybrid)

    I am working with a major name in financial services, a global organisation trusted by millions of customers. They are investing heavily in AI and digital transformation, and this role sits right at the centre of that growth.

    We are looking for a Technical Product Owner at VP level to drive the evolution of digital and AI‑powered conversational solutions. This is a fantastic opportunity to shape strategy, influence technical direction, and bring cutting‑edge AI products to life. You will work closely with cross‑functional teams, guide decision‑making, and help define the future of AI-enabled customer experiences.



    You will work with
    • Keeping ahead of emerging technologies and identifying areas to innovate.
    • Playing a crucial role in steering AI-powered conversational capabilities for millions of users.
    • Defining and delivering the technical product vision and roadmap
    • Working with product owners, engineering teams, and key stakeholders to prioritise features and requirements.
    • Leading continuous testing and performance monitoring to drive iterative improvement.


    Benefits
    • Salary up to £115,000
    • Hybrid working model (London-based)
    • Opportunity to shape and lead major AI initiatives
    • Work with modern technology in a forward-thinking environment
    • Clear senior-level career progression
    • High visibility across the organisation






    What they are Looking For
    • Strong experience in technical product management with a strategic, forward-thinking approach.
    • A proven track record working on NLP-based products and AI-driven solutions.
    • The ability to lead, influence, and collaborate with cross‑functional teams at senior levels.


    Ready to?
    • Take control in AI innovation and be central to major digital transformation.
    • Work with cutting-edge technologies in a high-impact environment.
    • Enjoy competitive compensation and a clear path for growth.
    • Be part of a forward‑thinking organisation committed to customer obsession and continuous improvement.




    If you're excited by the idea of shaping enterprise-scale AI products and driving strategic change? Apply now!

    new

    AI Engineer

    England, London

    • £80,000 to £105,000 GBP
    • Consultant Role
    • Skills: Python, AI, AWS
    • Seniority: Senior

    Job description



    Unlock your potential as an AV

    AI Engineer

    Location: London
    Salary: £105,000

    Are you an experienced engineer with hands‑on expertise in Python, LLMs, and modern cloud technologies? We're looking for a Lead Engineer to join a high-impact Generative AI feature team, building applications used by thousands of colleagues daily. This is a unique opportunity to drive AI innovation at scale within a highly regulated environment.



    About the Role

    As a Lead Engineer, you will design, develop, and enhance software solutions using modern engineering practices. You'll act as an SME within the Generative AI domain, shaping technical direction, guiding others, and influencing both strategy and implementation.

    You will lead a small team, provide mentorship, conduct code reviews, and drive a culture of technical excellence. This role offers a blend of hands-on engineering, leadership, and strategic input - perfect for someone ready to step into a high-ownership position.



    Key Responsibilities:
    • Build high‑quality, scalable, maintainable Python-based applications.
    • Develop and deploy AI-driven applications, including those using LLMs.
    • Collaborate closely with product, design, and engineering teams.
    • Contribute to solution design, architecture, and secure coding practices.
    • Drive testing best practices and ensure repeatable, reliable deployments.
    • Mentor and guide junior engineers; support ongoing capability development.
    • Lead technical discussions, code reviews, and cross-functional collaboration.
    • Influence decision‑making and contribute to policy/standards.
    • Support risk management, governance, and control requirements.
    • Contribute to the organisation's Generative AI strategy as a subject matter expert.
    • Analyse complex, multi-source data to inform design and decision‑making.
    • Communicate complex or sensitive information clearly to senior stakeholders.




    Required Experience

    To succeed in this role, you should have strong hands-on capability in:
    • Python
    • Working with Large Language Models (LLMs)
    • Cloud technologies, ideally AWS (Bedrock, Lambda, S3, Lex, CloudWatch)
    • Prompt optimisation and evaluation methodologies
    • Strong communication skills, especially in cross-functional environments
    • Mentoring, coaching, or guiding other engineers


    Full Stack Developer - (BPSS checked)

    England, London

    • £400 to £450 GBP
    • Developer Role
    • Skills: c#, .net, SSRS, github, git, devops, cicd, python, playwright, power bi, tableau, devops, agile,
    • Seniority: Senior

    Job description



    X2 Full Stack Developer Contracts

    Strong Full-Stack engineer at least BPSS checked with good data skills required to:
    • Deliver changes to the client's existing reporting system, and to reverse engineer existing reports
    • Develop new reports on top of the client's new Data Platform solution


    Must have good reporting experience and ideally heath care experience

    Role 1: General Skills Overview

    Technical Skills:
    * C# Full Stack .NET development
    * SQL Server and SQL Server Reporting Services (SSRS)
    * ASP.NET web framework
    * Team Foundation Server (TFS)
    * Ability to analyze and reverse engineer existing stored procedures to extract business logic

    * Python for data engineering
    * Strong SQL proficiency
    * Experience with Pandas and PySpark


    General Technical Skills
    * Git / GitHub
    * DevOps fundamentals (CI/CD, secrets scanning)
    * Cloud-based engineering
    * React
    * Test Driven Development (TDD)
    * Playwright and PyTest
    * Report development using PowerBI or Tableau
    * Agile delivery practices
    * Pair Programming
    * Clean code and documentation standards



    Role 2: Full-Stack Developer

    Technical Skills:
    * C# Full Stack .NET development
    * SQL Server and SSRS
    * ASP.NET web framework
    * Team Foundation Server
    * Stored procedure analysis and reverse engineering
    * Git / GitHub
    * DevOps basics (CI/CD, secrets scanning)
    * Cloud-based engineering
    * React
    * Test Driven Development
    * Playwright and PyTest
    * PowerBI or Tableau for report development
    * Agile delivery
    * Pair Programming
    * Clean code and documentation practices

    Inside IR35
    Fully Remote
    6 Months

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

    Senior Snowflake Data Engineer - Remote - £competitive

    England, London

    • £75,000 to £85,000 GBP
    • Engineer Role
    • Skills: Senior Snowflake Data Engineer - Remote - £competitive
    • Seniority: Senior

    Job description



    Senior Snowflake Data Engineer - Remote - £competitive

    About the Role
    We are looking for an experienced Senior Snowflake Data Engineer to join a dynamic team working on cutting-edge data solutions. This is an exciting opportunity to design, build, and optimise high-performance data pipelines using Snowflake, dbt, and modern engineering practices. If you are passionate about data engineering, test-driven development, and cloud technologies, we'd love to hear from you.



    Key Responsibilities
    • Design, develop, and optimise scalable data pipelines in Snowflake.
    • Build and maintain dbt models with robust testing and documentation.
    • Apply test-driven development principles for data quality and schema validation.
    • Optimise pipelines to reduce processing time and compute costs.
    • Develop modular, reusable transformations using SQL and Python.
    • Implement CI/CD pipelines and manage deployments via Git.
    • Automate workflows using orchestration tools such as Airflow or dbt Cloud.
    • Configure and optimise Snowflake warehouses for performance and cost efficiency.




    Required Skills & Experience
    • 7+ years in data engineering roles.
    • 3+ years hands-on experience with Snowflake.
    • 2+ years production experience with dbt (mandatory).
    • Advanced SQL and strong Python programming skills.
    • Experience with Git, CI/CD, and DevOps practices.
    • Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure).
    • Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation.




    Preferred Qualifications
    • Snowflake certifications (SnowPro Core or Advanced).
    • Experience with dbt Cloud and custom macros.
    • Exposure to real-time streaming (Kafka, Kinesis).
    • Familiarity with data observability tools and BI integrations (Tableau, Power BI).




    What We Offer
    • Opportunity to work with modern data technologies and large-scale architectures.
    • Professional development and certification support.
    • Collaborative, engineering-focused culture.
    • Competitive salary and benefits package.




    Interested?
    Apply now with your CV highlighting your Snowflake, dbt, and DevOps experience.