data engineer

ai engineer

machine learning engineer

senior ai engineer

senior data engineer

ai and analytics engineer

Mitie

<div><h1 class="jobSectionHeader"><b>Join Mitie &ndash; the future of high performing places.</b></h1>
<p><b>
ROLE:</b> AI &amp; Analytics Engineer<br>
<b>LOCATION:</b> Hybrid (UK &ndash; Office presence as required)<br>
<b>CONTRACT:</b> Full Time</p>
<p>
At Mitie, our people are our greatest strength, and our purpose is driven by a belief that better places lead to thriving communities. We're looking for a <b>pragmatic and versatile AI &amp; Analytics Engineer</b> to join our Data Transformation function, delivering scalable, user‑focused analytics solutions across our modern data platform.</p>
<p>
This role spans <b>analytics engineering, solution architecture, and lightweight application development</b>, working across Microsoft Fabric, Azure, Python, SQL, and React to turn data into actionable, business‑driven solutions.</p>
<p></p>
<h2 class="jobSectionHeader"><b>Role Responsibilities</b></h2>
<ul><li>Design, build, and maintain <b>data‑driven solutions</b> to optimise processes and deliver new capabilities.</li>
<li>Develop and enhance analytics solutions across <b>Microsoft Fabric and Azure platforms</b>.</li>
<li>Contribute to the wider Azure environment, including <b>Azure Functions, Container Apps, and Key Vault</b>.</li>
<li>Support the development of <b>AI‑powered tools</b> such as natural language query agents, semantic retrieval, and <b>RAG pipelines</b>.</li>
<li>Participate in the design of scalable data architectures, including <b>semantic layers, MDM frameworks, and reusable analytics components</b>.</li>
<li>Contribute to <b>frontend development (React/TypeScript)</b> where required to support user‑facing analytics tools.</li>
<li>Collaborate with Data Engineers, Analysts, and BI teams to integrate outputs into <b>production‑ready solutions</b>.</li>
<li>Document solutions comprehensively, including architecture decisions, metadata, lineage, and operational considerations.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<p>
Applicants must meet the below defined requirements for the role.</p>
<h3 class="jobSectionHeader"><b>
Technical Skills</b></h3>
<ul><li>Strong experience with <b>Microsoft Fabric</b> and Azure data platforms.</li>
<li>Advanced skills in <b>Python, T‑SQL, and data modelling</b>.</li>
<li>Experience developing and integrating <b>REST APIs</b>.</li>
<li>Knowledge of <b>CI/CD pipelines, Git/DevOps workflows, and cloud engineering practices</b>.</li>
<li>Practical experience designing scalable <b>analytics or data solutions</b>.</li>
<li>Working knowledge of <b>React/TypeScript</b> or willingness to contribute to front‑end development.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Desirable</b></h2>
<ul><li>Experience with <b>LLM/RAG architectures and AI tooling</b>.</li>
<li>Strong hands‑on experience with <b>React/TypeScript</b>.</li>
<li>Experience deploying <b>Azure Container Apps and cloud infrastructure</b>.</li>
<li>Knowledge of <b>Power BI, semantic models, and DAX</b>.</li>
<li>Experience with tools such as <b>DBT, FastAPI, DuckDB, or Polars</b>.</li>
<li>Familiarity with <b>Microsoft Graph API, YAML pipelines, and data platform automation</b>.</li>
<li>Exposure to <b>machine learning concepts or analytics tooling development</b>.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Key Skills &amp; Attributes</b></h2>
<ul><li>Strong problem‑solving mindset with ability to deliver <b>practical, scalable solutions</b>.</li>
<li>Comfortable working across the <b>full data stack</b> (data, infrastructure, architecture, and UI).</li>
<li>Excellent communication skills with ability to translate complex concepts into business value.</li>
<li>Proactive, self‑motivated, and able to operate in <b>ambiguous environments</b>.</li>
<li>Strong stakeholder engagement skills with confidence to <b>challenge and influence decisions</b>.</li>
<li>Product‑focused mindset, ensuring solutions are usable, maintainable, and valuable.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What's in it for you?</b></h2>
<ul><li>Opportunity to work on <b>cutting‑edge AI and analytics solutions</b> within a large enterprise environment.</li>
<li>Access to Mitie's <b>Choices</b> lifestyle benefits platform, including additional holidays, dental cover, and tech schemes.</li>
<li>Virtual GP access for you and your household.</li>
<li>Financial wellbeing support through Salary Finance.</li>
<li>MiDeals discounts, cycle‑to‑work scheme, and retail offers.</li>
<li>Life cover up to <b>4&times; salary</b>, enhanced pension contributions, and save‑as‑you‑earn scheme.</li>
<li>Opportunity to earn free shares through the <b>Mitie Matching Share Plan</b>.</li>
<li>Recognition through the <b>Mitie Stars</b> programme with monthly and annual rewards.</li>
<li>Continuous training, development, and career growth within Mitie.</li>
</ul>
<p></p><p><b>There's a place for you at Mitie &mdash; join us today!</b></p></div>

AI and Analytics Engineer

Forward Role Secure

<div>
 <p>
  <strong>
   <u>
    Data Engineer (National Security)
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location
  </strong>
  : Opportunities across South West, North West and London National Security hubs
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Hybri
  </strong>
  d: typically 3&ndash;4 days per week highside, depending on programme
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Salary:
  </strong>
  &pound;70,000 &ndash; &pound;120,000 plus bonus and benefits, depending on experience and SFIA grading
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Clearance
  </strong>
  : Active National Security clearance preferred
 </p>
 <p>
  <strong>
   The Opportunity:
  </strong>
  If you're a Data Engineer operating within NS and looking for broader technical exposure, greater ownership and a genuinely strong engineering culture, this is worth a look...
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're supporting a specialist engineering consultancy that is rapidly expanding its NS capability following a number of major programme wins and long-term growth plans.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What stands out about this organisation isn't just the technology. It's the environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The business has built a reputation as a genuinely people-first employer, recognised through Best Workplace awards, strong Glassdoor reviews and consistent investment in learning and development. Engineers are trusted to shape solutions, work closely with customers and continue developing their skills through dedicated training and support programmes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Many people join from larger organisations looking for less red tape, broader project exposure and the opportunity to have a more visible impact.
 </p>
 <p>
  With significant growth planned over the next 18 months, there is a genuine opportunity to help shape capability as the team scales.
 </p>
 <p>
  .
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  As a Data Engineer, you'll help build secure cloud-native data platforms supporting analytics, operational intelligence and AI-enabled capability across NS programmes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Typical responsibilities include:
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Building scalable data pipelines and ETL frameworks using Python and modern cloud-native engineering approaches
 </p>
 <p>
  &bull; Developing AWS-based data platforms supporting analytics, operational intelligence and AI-re
 </p>
 <p>
  ady services
 </p>
 <p>
  &bull; Working with large-scale operational, geospatial and miss
 </p>
 <p>
  ion datasets
 </p>
 <p>
  &bull; Supporting distributed data architectures and secure cloud transformation
 </p>
 <p>
  initiatives
 </p>
 <p>
  &bull; Collaborating directly with the customer to solve complex data challenges and influence technical direction
 </p>
 <p>
  &bull; Contributing to modern engineering practices across automation, testing, observability and platform reliability
 </p>
 <p>
  The exact technology stack varies between programmes, but typically includes AWS, Python, distributed processing technologies and modern data engineering tooling.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The organisation values engineering mindset, curiosity and stakeholder engagement far more than matching every technology perfectly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is particularly suited to engineers who enjoy combining cloud, data and customer-facing problem solving rather than operating within a narrow technical silo.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Security Requirements
  </strong>
 </p>
 <p>
  Due to the nature of the work, candidates should already be operating within National Security, with the ability to work highside.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Apply?
  </strong>
 </p>
 <p>
  &bull; Best Workplace recognised culture
 </p>
 <p>
  &bull; Strong Glassdoor reviews and positive employee feedback
 </p>
 <p>
  &bull; Significant investment in learning and development
 </p>
 <p>
  &bull; Broad exposure across cloud, analytics, geospatial and AI-enabled capability
 </p>
 <p>
  &bull; Growing National Security practice with genuine progression opportunities
 </p>
 <p>
  &bull; Opportunity to influence solutions rather than simply deliver against a specification
 </p>
</div>


Data Engineer (National Security)

Napier AI

<div>
 <p>
  <strong>
   Application Deadline:
  </strong>
  3 July 2026
 </p>
 <p>
  <strong>
   Department:
  </strong>
  Technology
 </p>
 <p>
  <strong>
   Location:
  </strong>
  London
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Imagine catching criminals before they strike&mdash;that&rsquo;s exactly what Napier&rsquo;s AI-powered platform does! By analysing transactions and customers in real time, Napier AI&rsquo;s technology empowers financial institutions to spot suspicious activity, like money laundering, and stops it in its tracks.
 <br/>
 <br/>
 Napier AI&rsquo;s technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people&rsquo;s money from becoming criminal proceeds. It&rsquo;s not just about stopping crime&mdash;it&rsquo;s about making the financial world safer and more trustworthy for everyone.
 <br/>
 <br/>
 Collaboration, innovation and wonderful people are just some of the reasons to bring your career to Napier. Our culture is shaped by our core values that promote equality, creativity, and opportunity in everything we do.
 <br/>
 <br/>
 After successfully securing PI investment to fuel our ongoing growth and to further invest in our AI products, we are currently building out our Tech Hub- this is a super exciting time to join Napier as we expand.
 <br/>
 <br/>
 <strong>
  Overview of the role:
 </strong>
 <strong>
  Lead Engineer
  <br/>
  <br/>
 </strong>
 The Lead Engineer will play a key role in building and shaping a new AI-focused engineering capability within Napier.
 <br/>
 <br/>
 This is a hands-on leadership role within a smaller, high-impact team, focused on extending Napier&rsquo;s AI functionality and applying AI and machine learning models to detect and prevent financial crime.
 <br/>
 <br/>
 You will be responsible for both contributing directly to the development of AI-driven systems and leading technical direction within the team. This role offers an opportunity to build something from the ground up in a relatively greenfield environment, helping define the technical approach, tooling, and engineering practices as the team grows.
 <br/>
 <br/>
 Depending on experience, the role can flex between a strong Technical Lead or a Team Lead, combining hands-on engineering with leadership responsibility.
 <br/>
 <br/>
 <strong>
  Your day to day: Lead Engineer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Designing and implementing AI-driven features and services within Napier&rsquo;s platform
  </li>
  <li>
   Contributing hands-on to development, including coding, debugging, and testing
  </li>
  <li>
   Leading or mentoring a small team of engineers, supporting their growth and output
  </li>
  <li>
   Working closely with Product, Architecture, and Data teams to translate AI use cases into production systems
  </li>
  <li>
   Helping define and evolve engineering standards, tooling, and development practices within the AI team
  </li>
  <li>
   Supporting integration of AI/ML models into scalable, production-grade systems
  </li>
  <li>
   Diagnosing and resolving functional and performance/scalability issues
  </li>
  <li>
   Participating in technology selection and architectural decisions
  </li>
  <li>
   Supporting recruitment and onboarding of new team members as required
  </li>
  <li>
   Providing input on resourcing decisions and team growth
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Do you have what it takes?
  <br/>
  <br/>
 </strong>
 <strong>
  Knowledge/experience:
 </strong>
 <ul>
  <li>
   At least 5&ndash;7 years of commercial experience in a senior or lead engineering role
  </li>
  <li>
   Strong experience building and delivering production-grade systems in a product or SaaS environment
  </li>
  <li>
   Experience working in smaller companies or teams, with a pragmatic and adaptable approach
  </li>
  <li>
   Experience leading engineers or acting in a technical leadership capacity
  </li>
  <li>
   Experience working in Agile delivery environments with a continuous improvement mindset
  </li>
  <li>
   Exposure to AI/ML systems, data-driven platforms, or analytics products
  </li>
  <li>
   Understanding of how to integrate models or data-driven features into production systems
  </li>
  <li>
   Knowledge of DevOps and modern software engineering practices
  </li>
 </ul>
 <strong>
  Skills:
 </strong>
 <br/>
 These skills are
 <strong>
  essential
 </strong>
 to be successful in this role
 <ul>
  <li>
   Strong hands-on programming experience in
   <strong>
    Go or Python
   </strong>
   (experience in both is beneficial)
  </li>
  <li>
   Experience building distributed, microservice-based systems
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, or GCP)
  </li>
  <li>
   Understanding of containerisation and orchestration (Docker, Kubernetes)
  </li>
  <li>
   Experience with data pipelines, streaming technologies, or event-driven systems (e.g. Kafka beneficial)
  </li>
  <li>
   Strong analytical and problem-solving skills with the ability to adapt quickly to changing requirements
  </li>
  <li>
   Ability to balance hands-on development with technical leadership responsibilities
  </li>
  <li>
   Collaborative team player with strong communication and stakeholder management skills
  </li>
  <li>
   Comfortable working in evolving environments and helping shape direction and structure
  </li>
 </ul>
 We&rsquo;d be thrilled if you also have experience with, and are keen to grow your skills in, some of these other areas:
 <ul>
  <li>
   Machine learning frameworks or AI model development
  </li>
  <li>
   Financial crime, fraud, or risk-related domains
  </li>
  <li>
   Data processing and analytics platforms
  </li>
  <li>
   Performance engineering and scalability optimisation
  </li>
  <li>
   Observability tools such as Grafana and Prometheus
  </li>
  <li>
   Exposure to modern front-end technologies (React, Angular)
  </li>
  <li>
   Experience working with distributed or remote teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Napier?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Comprehensive private healthcare through AXA covering optical, audio &amp; dental.
  </li>
  <li>
   25 days of annual leave + bank holidays, your birthday and a wellness day
  </li>
  <li>
   Dedicated pension plan through Aviva
  </li>
  <li>
   Life Insurance 4x your annual salary
  </li>
  <li>
   Enhanced Maternity &amp; Paternity leave
  </li>
  <li>
   Income protections policy
  </li>
  <li>
   Work from anywhere for up to 1 month
  </li>
  <li>
   Access to our employee wellbeing programme.
  </li>
  <li>
   Gym membership discounts.
  </li>
  <li>
   Flexibility in work schedules and locations, ensuring a work-life balance.
   <ul>
    <li>
     This role can be fulfilled either with a hybrid approach or fully in-office &ndash; depending on your preference.
    </li>
   </ul>
  </li>
  <li>
   An open and flexible culture that allows you to work in the best way for you.
  </li>
 </ul>
 Please note applicants must have the right to work in the United Kingdom. We are unable to offer sponsorship or take over sponsorship of employment visas at this time.
</div>


Lead Engineer (AI Platform)

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Junior Analytics Engineer<p><b>
Job Description Summary</b></p><p><b>
Job Description</b></p><p>
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</p></li><li><p>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</p></li><li><p>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</p></li><li><p>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</p></li><li><p>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</p></li><li><p>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</p></li><li><p>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</p></li><li><p>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</p></li><li><p>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</p></li><li><p>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</p></li><li><p>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</p></li><li><p>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</p></li><li><p>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</p></li></ul><p></p><p><b>
Requirements:</b></p><ul><li><p>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</p></li><li><p>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</p></li><li><p>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</p></li><li><p>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</p></li><li><p>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</p></li><li><p>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</p></li><li><p>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</p></li><li><p>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</p></li><li><p>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</p></li><li><p>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</p></li><li><p>
Good communication skills, with the ability to ask clear questions and document work clearly.</p></li><li><p>
Knowledge of the real estate sector is a plus but not required.</p></li><li><p>
Fluent in English; additional European languages are an advantage.</p></li></ul><p></p><p><br>
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact.</p><br>
<p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

Deloitte

<div><div><div><div><h3 class="jobSectionHeader"><b>Basic information
</b></h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Tax &amp; Legal
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>29-Jun-2026
</div></div><div><div>Req #
</div><div>23837
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Job description
</b></h3></div></div><div></div><div><div><div><div><p><b>Job Title:</b> AI Data Engineer (Azure)</p><p><b>
Location: </b>London Hybrid. Travel to the London office 2 days a week</p><p><b>
Duration: </b>6 months</p><p><b>
Contract Start Date:</b> ASAP</p><p><b>
Day rate:</b> Competitive (Inside IR35)</p><p></p><p><b><br>
Deloitte</b></p><p>
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.</p><p></p><p><b><br>
The Role</b></p><p>
We are looking for a highly skilled <b>AI Data Engineer </b>(Contractor) specialising in <b>Azure </b>to join our Digital Innovation team, supporting cutting-edge data and analytics use cases across Tax &amp; Legal. This role is ideal for someone who combines <b>strong </b><b>AI/GenAI data pipeline</b><b> </b>expertise with <b>hands-on Azure, data discovery and analysis. </b>You will be comfortable working with unstructured data and modern Azure-native architectures. You will play a key role in transforming complex datasets into meaningful insights, working closely with Tax domain specialists to understand requirements, shape solutions, and clearly present outputs that drive business value. We're looking for a strong communicator with problem solving skills who can bridge technical data engineering and business understanding. A proactive, delivery-focused engineers who is comfortable working at pace.</p><p></p><p><b><br>
Deliverables: Responsibilities but not limited to:</b></p><b>
1. Data Engineering &amp; Azure Platform Delivery</b><br>
<ul><li><ul><li>
Design and build end-to-end data pipelines using Azure (ADF, Synapse, Fabric)</li><li>
Develop scalable frameworks for ingesting structured, semi-structured, and unstructured data</li><li>
Implement modern architectures (e.g. Lakehouse, medallion &ndash; bronze/silver/gold)</li><li>
Build and optimise storage solutions across ADLS Gen2, Cosmos DB, and Azure SQL/Synapse</li><li>
Deliver scalable, maintainable, production-ready solutions</li></ul></li></ul><b>
2. Unstructured Data &amp; NoSQL Engineering</b><ul><li><ul><li>
Design pipelines to process, transform, and enrich unstructured data.</li><li>
Leverage Cosmos DB for high-throughput, low-latency, schema-flexible workloads</li><li>
Optimise partitioning, indexing, and query performance</li><li>
Enable downstream analytics and AI use cases (e.g. reporting, search, RAG)</li></ul></li></ul><b>
3. Data Discovery, Analysis &amp; Business Engagement</b><ul><li><ul><li>
Conduct data discovery, profiling, and exploratory analysis</li><li>
Collaborate with Tax &amp; Legal stakeholders to translate business needs into data solutions</li><li>
Identify trends, anomalies, and data quality issues</li><li>
Present insights clearly to non-technical and senior stakeholders</li><li>
Support development of curated datasets and semantic layers</li></ul></li></ul>
4. <b>Collaboration &amp; Delivery</b><ul><li><ul><li>
Work with data scientists, AI engineers, architects, and domain specialists</li><li>
Enable data consumption via reporting tools, APIs, and data services</li><li>
Contribute to best practices in governance, lineage, and data cataloguing</li><li>
Deliver high-quality solutions in agile environments</li></ul></li></ul><p></p><p><b><br>
Essential Skills and Experience</b></p><ul><li><ul><li>
Proven experience as an <b>Azure Data Engineer </b>in end-to-end data platforms</li><li>
Exposure to <b>AI/GenAI data pipelines </b>(e.g. RAG, embeddings, search)</li><li>
Knowledge of <b>Azure AI Search</b> or vector-based retrieval systems</li><li>
Strong <b>hands-on</b> experience with:</li><li><ul><li><ul><li>
Azure Data Factory / Synapse / Microsoft Fabric</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Cosmos DB (Core/SQL API, NoSQL modelling)</li></ul></li></ul></li><li>
Experience working extensively with unstructured and semi-structured data</li><li>
Proficiency in <b>Python</b> and <b>SQL</b></li><li>
Demonstrated experience in:</li><li><ul><li><ul><li>
Data discovery, profiling, and exploratory analysis</li><li>
Data transformation and data quality frameworks</li></ul></li></ul></li><li>
Strong understanding of:</li><li><ul><li><ul><li>
NoSQL vs relational data modelling</li><li>
Data partitioning and performance tuning</li></ul></li></ul></li><li>
Experience building scalable, production-grade data pipelines</li><li>
Familiarity with CI/CD and DevOps practices in Azure</li></ul></li></ul><p></p><p><b><br>
Desirable:</b></p><ul><li><ul><li>
Azure Data Engineering Associate certification (DP-203) or equivalent</li><li>
Experience with Microsoft Fabric and Lakehouse architectures</li><li>
Experience integrating Cosmos DB with analytical platforms</li><li>
Familiarity with data governance frameworks</li></ul></li></ul><p></p><p><b><br>
IR35</b></p><p>
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</p></div></div></div></div></div></div><div></div>

Contract - AI Data Engineer (Azure)

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Who You'll Be Working With</b></h2><br>
</div><p></p><div><p>As a Databricks Data Engineer at Capgemini, you will design, build and operate reliable, scalable data pipelines and lakehouse solutions that enable analytics, AI and GenAI. You will work hands-on with Databricks, Apache Spark and the Azure data ecosystem to ingest, transform and serve trusted data products, taking ownership from development through to production support and continuous improvement.</p><br>
<p><br>
You will be part of the Data Platforms team that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake<br>
</p><p></p><p><b>Please Note: </b>Security Clearance: <b>To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.</b>
<br>
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.</p>
<p>Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
<br>
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>The Focus Of Your Role</b></h2><br>
</div><p></p><div><p>As a Databricks Data Engineer with an Azure and Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage Databricks, Apache Spark and Azure services to develop and optimise batch and streaming pipelines, implement Delta Lake lakehouse patterns, and deliver well-governed data sets that power reporting, analytics and AI/ML use cases.</p><br>
<p></p><ul><li>Build and maintain data pipelines and lakehouse solutions: Use Databricks and Apache Spark to ingest, transform and curate data in Azure Data Lake Storage (ADLS) and Delta Lake.</li>
<li>Implement data modelling, quality and governance: Develop scalable data models, apply validation/quality checks, and follow governance practices to ensure reliable and auditable data products.</li>
<li>Enable AI/ML and analytics use cases: Prepare curated datasets and features, collaborate with data scientists, and integrate pipelines with ML workflows (e.g., MLflow) where required.</li>
<li>Monitor and optimise jobs and clusters: Tune Spark performance, improve reliability, manage costs, and implement observability (logging, alerting, SLAs) for production workloads.</li>
<li>Collaborate across teams: Work with business analysts, platform engineers, data scientists and DevOps to deliver secure, well-tested data solutions in an agile environment.</li>
<li>Apply engineering best practices: Use version control, code review, automated testing and CI/CD; keep current with Databricks capabilities and data engineering patterns.</li>
<li>Be a Databricks advocate: Share knowledge, contribute to accelerators and standards, and pursue Databricks certification/champion pathways.</li><br>
</ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>What You'll Bring</b></h2><br>
</div><p></p><div><p>You will bring strong, hands-on experience delivering modern data engineering solutions within complex environments, with an understanding of regulatory obligations and the need for trusted, mission critical data. You will be able to build secure, scalable and well governed pipelines and lakehouse data products that support analytics, AI and GenAI while meeting requirements for data protection, sovereignty, transparency and auditability.</p><br>
<p><br>
You will be comfortable collaborating with stakeholders to translate outcomes into robust data solutions, and you will bring strong engineering discipline, documentation and teamwork skills to help teams deliver sustainable data capabilities.<br>
</p><p><br>
<b>Experience:</b><br>
</p><p></p><ul><li>Minimum 5+ years of experience as a Data Engineer, including hands-on delivery of Databricks solutions in production environments.</li>
<li>Strong expertise in Databricks, Apache Spark and Delta Lake, with good understanding of lakehouse and data warehousing concepts.</li>
<li>Experience with Microsoft Azure, including ADLS Gen2, Azure Databricks, and orchestration tooling such as Azure Data Factory (or similar).</li>
<li>Proficiency in Python and SQL, with strong software engineering practices (Git, code review, unit testing, CI/CD) and an ability to troubleshoot production issues.</li>
<li>A continuous learning mindset, ideally with progress toward Databricks certification (e.g., Data Engineer Associate/Professional) or equivalent experience.</li>
<li>Relevant certifications (desirable): Databricks Data Engineer and/or Microsoft Azure data certifications.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Additional Info</b></h2><br>
</div><p></p><div><p><b>Hybrid working</b>: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p>
<p>If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)</p><br>
<p></p><p><b>What we&rsquo;ll offer you</b></p><br>
<p></p><p>You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.</p><br>
<p><br>
<b>Why we&rsquo;re different</b>
</p><p>At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that&rsquo;s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
<br>
<br>
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.</p></div></div></div></div></div></div></div>

Databricks Data Engineer

Redhorse International

<p><b>Data Engineer </b></p><p>Bringing to the UK unique graph data expertise, Redhorse International is preparing to set up a Data Practice, specialising in graph technologies. Focusing initially on a particular piece of work, we are looking for exceptional data professionals with demonstrable experience of working with big data sets in highly available environments.</p><p>As part of our initial resource plan, we are looking for a Data Engineer with full data engineering lifecycle experience. As a Data Engineer you are passionate about data and maximising its value. Having consistently worked your way through the full data lifecycle, from design and implementation of data pipelines from diverse sources to maintain data products, you are confident in ensuring data integrity, accessibility and scalability without compromising security. Comfortable to demonstrate knowledge of a variety of supporting infrastructures; you are now looking for your next challenge and we have a good one!</p><p>Time is of the essence, so successful candidates should have experience of the following:</p><ul><li>Full end to end delivery of data solution for graph, analytics or knowledge management platforms</li><li>Strong understanding of full data architecture stack, including optimisations and efficiencies</li><li>Integration of workflow applications and analytics into a coherent architecture</li><li>Technical team leadership and confidence in delivery</li><li>Knowledge Graph or analytics technology stack or AI data processing &ndash; entity resolution, Neo4J, Databricks, Spark, Snowflake, ETL, the full gamut of data pipelines and deployment components</li></ul><p>The successful candidate should be prepared to join our talented colleagues and partners, complementing their skills while understanding Redhorse commitment to our values and clients. Be prepared to learn a lot whilst you begin your first programme of work.</p><p>Redhorse International will reward the successful candidate with a competitive salary, excellent benefits package and career progression. This is a fantastic opportunity for the right person to be our first Data Practice resource. You will be joining us with the knowledge that you will shape how the Practice evolves and have direct impact on the success of the business.</p><p>To apply you must be a British Citizen and prepared to obtain a level of security clearance. Due to those vetting requirements, in some instances, the recruitment process may take up to 8 weeks.</p><p>Pay: &pound;51,355.35-&pound;106,846.96 per year</p><p>Benefits:</p><ul><li>Childcare</li><li>Company events</li><li>Company pension</li><li>Cycle to work scheme</li><li>Employee discount</li><li>Financial planning services</li><li>Flexitime</li><li>Private dental insurance</li><li>Private medical insurance</li><li>Sick pay</li><li>Store discount</li></ul><p>Application question(s):</p><ul><li>Are you a British Citizen? </li></ul><p>Work Location: In person</p>

Data Engineer

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