data engineer

machine learning engineer

software engineer

ai engineer

senior software engineer

analysis engineer

The Law Society

<div></div><div><div><div><div><div><p>Join the Law Society's Data and AI team at an exciting stage of our data transformation journey. Having recently implemented our first enterprise Data Platform, we're looking for an Analytics Engineer to help shape the next phase of our data and analytics capability.</p>
<p>
In this role, you will design, build and maintain trusted data models and analytics products that enable reporting, generate valuable insights and support informed decision-making across the organisation.</p>
<p>
Working closely with data engineers, analysts and business stakeholders, you'll transform complex data into well-governed, reusable analytical models that power reporting tools such as Power BI. You'll also play a key role in improving data quality, enhancing data accessibility and ensuring colleagues can confidently find, trust and use data to drive business outcomes.</p>
<p>
This is an excellent opportunity to join a knowledgeable and growing Data and AI team where you'll have the chance to influence best practice, work with modern technologies and contribute to the continued evolution of our data platform.</p>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>What we're looking for</b></h2></div>
</div></div><div><div><div><div><p>We're looking for someone with a passion for data and analytics who can bridge technical expertise with business needs. You will have:</p>
<ul>
<li>Strong SQL skills and experience designing reliable, scalable and maintainable data models, optimised for BI tools such as Power BI.</li>
<li>Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms.</li>
<li>Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory.</li>
<li>An understanding of data governance, data lineage and data quality principles.</li>
<li>The ability to work collaboratively with stakeholders to translate business requirements into practical data solutions.</li>
<li>A proactive, collaborative approach with a commitment to continuous improvement.</li>
</ul>
<p><b>Desirable skills include:</b></p>
<ul>
<li>Experience using Git and Python.</li>
<li>Experience working within Agile delivery environments.</li>
<li>Relevant cloud or data certifications.</li>
</ul></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>What's in it for you</b></h2></div>
</div></div><div><div><div><div><p>This is an exciting opportunity to join a respected membership organisation with a strong reputation for excellence and legal expertise. You'll work alongside talented colleagues who are passionate about using data to deliver meaningful impact across the organisation.</p>
<p>
At the Law Society, we're committed to fostering an inclusive workplace where equality, diversity and inclusion are valued, and where our culture is built on trust, clarity, excellence and respect.</p>
<p>
We offer:</p>
<ul>
<li>Hybrid working.</li>
<li>A generous and flexible benefits package.</li>
<li>A supportive and collaborative working environment.</li>
<li>Excellent opportunities for learning, development and career progression.</li></ul><br>
<p>
<br>
<i>Please note: i</i><i>f you are an internal applicant, Pay Policy will apply.</i><br>
</p><p><b>The Law Society represents solicitors in England and Wales. From negotiating with and lobbying the profession's regulators, government and other decision makers, to offering training and advice, we're here to help, protect and promote solicitors.</b></p></div></div></div></div></div>

Analytics Engineer

Bauer Media Group

<b>Location:</b> London, Hybrid [1-2 days per week on site]
<br><br>
<b>Our Team:</b> How we enrich everyday life
<br><br>
You’ll be joining our Data & Decision Sciences (DDS) team at Bauer Media Audio, where we use data to power decisions across nine European markets. We’re a collaborative, cross-functional team working across commercial revenue, digital audiences, and consumer competitions, turning complex data into insights that shape how millions of people engage with our brands every day.
<br><br>
Working closely with Data Engineers, Data Scientists, Product Managers and business stakeholders, we combine central expertise with local market knowledge to deliver real impact.
<br><br>
The difference you will make
<br><br>
As an Analytics Engineer, you’ll play a key role in transforming raw data into trusted, business-ready insights. You’ll help build the data models and semantic layers that underpin reporting and analytics across Bauer Media Audio, enabling teams to make smarter, faster decisions.
<br><br>
This is an exciting opportunity to help modernise our data platform, working with emerging technologies and shaping how data is structured, defined, and consumed across the business.
<br><br>
Your role
<br><br>
You’ll design and build scalable data models and pipelines that translate complex data into meaningful insights for the business.
<br><br>
<b>Responsibilities include, but are not limited to:</b><br>
Design and develop dimensional data models and marts using dbt and Kimball principles
<br>Build and maintain transformation pipelines from raw data to business-ready datasets
<br>Define and evolve semantic layers to ensure consistent metrics and reporting across tools like Looker, Power BI and Tableau
<br>Collaborate with Data Engineers to shape upstream data and improve data pipelines
<br>Implement data quality checks and maintain reliable, trusted datasets
<br>Support the migration and modernisation of legacy data platforms to Snowflake
<br>Maintain documentation including data dictionaries and semantic definitions
<br>Contribute to agile workflows, code reviews, and cross-functional collaboration
<br>Get involved with setting up Airflow DAGs or write Terraform to setup infrastructure.
<br><br>
The skills you will bring
<br><br>
<b>Must-have:</b><br>
Strong SQL skills and experience with modern cloud data warehouses (e.g. Snowflake, Redshift, or BigQuery)
<br>Hands-on experience with dbt for data transformation and modelling
<br>Solid understanding of dimensional modelling (Kimball methodology)
<br>Experience working with BI tools such as Looker or Power BI
<br>Comfort working in agile teams using tools like Jira and GitHub
<br>Strong communication skills with the ability to translate data into business concepts
<br><br>
<b>Nice-to-have:</b><br>
Experience with Snowflake or modern cloud data platforms
<br>Exposure to Airflow, Terraform, or CI/CD practices
<br>Experience with data quality tools such as Great Expectations
<br>Familiarity with Tableau or multi-BI environments
<br>Background in media, digital, or subscription-based businesses
<br>Experience using Python for data and analytics engineering tasks
<br><br>
About Bauer Media Group
<br><br>
We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe’s largest Publishers. From women’s and celebrities’ magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France – both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family-owned in the 5th generation, Bauer Media focuses on the long-term, with a consumer-first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people‘s everyday lives.
<br><br>
What’s in it for you
<br><br>
You’ll have 28 days holiday, bank holidays & 2 volunteer days to use.
<br>Your development matters, so access to our internal training provider – Bauer Academy, is a huge win.
<br>We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay.
<br>You’ll have the opportunity for flexible working.
<br>And much more! Find the full details of our benefits here
<br><br>
We are an international employer and equal opportunities are important to us. That's why we welcome everyone in their uniqueness, regardless of e.g. religion, gender, skin color, disability in our house.
<br><br>
We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or a long term health condition, and need us to make any reasonable adjustments or do anything differently during any stage of the recruitment process, please let us know by emailing careershub@bauermedia.co.uk
<br><br>
We are actively recruiting for this position, so the job advert may close earlier than expected.
<br><br>
If you have any feedback regarding our UK recruitment process, please email careershub@bauermedia.co.uk we would love to hear from you.
<br><br>
<b>Date Job Posting Last Updated:</b> 25 Jun 2026
<br><br>
<b>Location:</b><br>
London, GB, NW1 2PL
<br><br>
<b>#job-location.job-location-inline { display:</b> inline; }
<br><b>Req ID:</b> 3719

JustPark

<div><p><b>About JustPark</b></p><p>
JustPark is the premier partner offering both B2B solutions for destinations and B2C services for drivers, giving us the best of both worlds. We simplify the entire parking experience. From venues and councils to private driveways, our platform makes it simple for drivers to find, book, and pay for parking, while empowering our operating partners to deliver exceptional parking experiences.</p><p>
We've always believed parking should be easier, from end to end. That's why we, two trailblazing companies - ParkHub and JustPark - have come together to make that vision a reality.</p><p>
ParkHub revolutionized event parking in the US, optimizing venue operations for a smoother, stress-free experience. JustPark transformed parking in the UK, turning the hunt for a spot into a simple, seamless task.</p><p>
Now, as one unified company, we're combining expertise to offer a full-service, frictionless parking solution for both businesses and consumers.</p><p><b>
About the Role</b></p><p>
The Analytics Engineer is a hands-on technical role within JustPark's data team, sitting at the intersection of data engineering and analytics. You'll be responsible for building and maintaining clean, well-tested data models that power reporting, BI, and business decision-making across our two-sided marketplace. Working closely with the Data Platform and BI teams, you'll help translate raw data into trusted, scalable assets that shape how JustPark makes decisions.</p><p>
This is an ideal role for someone who is fluent in dbt and BigQuery, enjoys owning modelling problems end-to-end, and can hit the ground running in a fast-moving product environment.</p><p><b>
Responsibilities</b></p><ul><li>
Build, test, and document dbt models in BigQuery across the staging, intermediate, and mart layers that power analytics and reporting across the business</li><li>
Partner with the BI team and Data Platform Lead to turn business questions into reusable, well-modelled data assets</li><li>
Work with backend engineers to stay ahead of schema changes and resolve data quality issues at source rather than patching them downstream</li><li>
Improve the warehouse over time &mdash; reducing complexity, improving query performance, and keeping BigQuery costs in check</li><li>
Contribute to data governance: documentation, naming standards, discoverability, and exploring how emerging AI tooling can strengthen the data platform</li></ul><p></p><p><b>
What does success look like in your first 3 months?</b></p><ul><li>
You'll have a solid understanding of the existing dbt project, data models, and key reporting areas, and is working independently on modelling tasks with minimal direction</li><li>
You shipped well-structured, tested dbt models that analysts and stakeholders can trust and use, and identified at least one area of the warehouse to meaningfully improve</li><li>
You built effective working relationships with the BI team, Data Platform Lead, and backend engineers, staying ahead of schema changes rather than reacting to them</li><li>
Documentation and governance contributions are in place, making it easier for the team to build on the work going forward</li></ul><br>
<b>
Requirements</b><p><b><br>
Must-haves</b></p><ul><li>
4+ years of hands-on dbt Core experience in a production environment</li><li>
Proficient in SQL and comfortable with modern data warehouse concepts such as dimensional modelling and layered architecture</li><li>
Practical cloud data warehouse experience, with the ability to write efficient queries and a solid understanding of how to improve performance</li><li>
Translates business requirements into delivery, comfortable working from a business problem through to a shipped model</li><li>
Understands the distinction between transactional and analytical systems, and how backend schema changes can affect downstream data models</li><li>
Comfortable working in a git-based development workflow, including pull requests, code reviews, and contributing to team coding standards</li><li>
Takes ownership of data quality in the models they build, proactively identifying and resolving issues rather than treating it as someone else's problem</li><li>
Curiosity about AI applications in data, including how modern tooling and semantic layers can be leveraged to build more intelligent data products</li></ul><p></p><p><b>
Nice-to-haves</b></p><ul><li>
Experience with dbt Cloud and BigQuery, including scheduling, orchestration, and warehouse optimisation</li><li>
Familiarity with Tableau or supporting analysts who use BI tools</li><li>
Experience building semantic layers, ideally with an understanding of how they support LLM and AI applications</li><li>
Experience with CDC pipelines or event-driven data architectures</li><li>
Python for data transformation or automation tasks</li></ul><br>
<b>
Benefits</b><p><b><br>
Recharge your batteries</b></p><ul><li>
Generous holiday policy: 25 days + bank holidays + managers can grant up to 5 extra days for high performance (total of 38 days a year)</li><li>
Free lunch on all office days via Feedr with daily meal choice</li><li>
Free snacks &amp; drinks on all office days</li></ul><p></p><p><b>
Investment in you and your wellbeing</b></p><ul><li>
Private Medical Insurance with Vitality</li><li>
Life assurance through YuLife</li><li>
&pound;25 credit for eye tests per year</li><li>
Free O2 concert tickets through our partnership with the O2</li></ul><p></p><p><b>
Simplifying journeys so you can breathe easier</b></p><ul><li>
&pound;50 parking credit per month via JustPark</li><li>
Cycle-to-work salary sacrifice scheme</li><li>
EV salary sacrifice car scheme via Octopus Energy</li></ul><p></p><p><b>
We look out for your family</b></p><ul><li>
Enhanced parental leave with 6-months enhanced maternity leave and 4 weeks fully-paid paternity leave</li><li>
Help finding great childcare with funded hours via Koru Kids</li></ul><p></p><p><b>
Look after the pennies</b></p><ul><li>
Competitive pension offering with standard and salary sacrifice options</li></ul><p></p><p><b>
Success is best when it's shared</b></p><ul><li>
Quarterly away days with the whole UK team</li><li>
Quarterly team social budget</li><li>
Social activities and celebrations on our gorgeous rooftop in King's Cross</li></ul><p></p><p><b>
Our Interview Process</b></p><ul><li>
First-stage - 30-minute virtual video interview via Google Meet with the People Team to tell you more about JustPark and the role and learn more about your experience</li><li>
Second-stage - 45-minute virtual video interview via Google Meet with the Hiring Manager</li><li>
Third-stage - Take home task - We always make sure that the task is relevant for the role and as efficient as possible. Our tasks vary in length based on role &amp; seniority but the task wouldn&rsquo;t take longer than a max. of 3-4 hours to complete</li><li>
Final stage - A 1 hour final interview in our lovely office in Kings Cross, where the team will ask you some questions on your task approach, any learnings and wider final interview-type questions</li></ul></div>

<div>
 <p>
  <strong>
   About JustPark
  </strong>
 </p>
 <p>
  JustPark is the premier partner offering both B2B solutions for destinations and B2C services for drivers, giving us the best of both worlds. We simplify the entire parking experience. From venues and councils to private driveways, our platform makes it simple for drivers to find, book, and pay for parking, while empowering our operating partners to deliver exceptional parking experiences.
 </p>
 <p>
  We've always believed parking should be easier, from end to end. That's why we, two trailblazing companies - ParkHub and JustPark - have come together to make that vision a reality.
 </p>
 <p>
  ParkHub revolutionized event parking in the US, optimizing venue operations for a smoother, stress-free experience. JustPark transformed parking in the UK, turning the hunt for a spot into a simple, seamless task.
 </p>
 <p>
  Now, as one unified company, we're combining expertise to offer a full-service, frictionless parking solution for both businesses and consumers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  The Analytics Engineer is a hands-on technical role within JustPark's data team, sitting at the intersection of data engineering and analytics. You'll be responsible for building and maintaining clean, well-tested data models that power reporting, BI, and business decision-making across our two-sided marketplace. Working closely with the Data Platform and BI teams, you'll help translate raw data into trusted, scalable assets that shape how JustPark makes decisions.
 </p>
 <p>
  This is an ideal role for someone who is fluent in dbt and BigQuery, enjoys owning modelling problems end-to-end, and can hit the ground running in a fast-moving product environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Build, test, and document dbt models in BigQuery across the staging, intermediate, and mart layers that power analytics and reporting across the business
  </li>
  <li>
   Partner with the BI team and Data Platform Lead to turn business questions into reusable, well-modelled data assets
  </li>
  <li>
   Work with backend engineers to stay ahead of schema changes and resolve data quality issues at source rather than patching them downstream
  </li>
  <li>
   Improve the warehouse over time &mdash; reducing complexity, improving query performance, and keeping BigQuery costs in check
  </li>
  <li>
   Contribute to data governance: documentation, naming standards, discoverability, and exploring how emerging AI tooling can strengthen the data platform
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What does success look like in your first 3 months?
  </strong>
 </p>
 <ul>
  <li>
   You'll have a solid understanding of the existing dbt project, data models, and key reporting areas, and is working independently on modelling tasks with minimal direction
  </li>
  <li>
   You shipped well-structured, tested dbt models that analysts and stakeholders can trust and use, and identified at least one area of the warehouse to meaningfully improve
  </li>
  <li>
   You built effective working relationships with the BI team, Data Platform Lead, and backend engineers, staying ahead of schema changes rather than reacting to them
  </li>
  <li>
   Documentation and governance contributions are in place, making it easier for the team to build on the work going forward
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <strong>
   Must-haves
  </strong>
 </p>
 <ul>
  <li>
   4+ years of hands-on dbt Core experience in a production environment
  </li>
  <li>
   Proficient in SQL and comfortable with modern data warehouse concepts such as dimensional modelling and layered architecture
  </li>
  <li>
   Practical cloud data warehouse experience, with the ability to write efficient queries and a solid understanding of how to improve performance
  </li>
  <li>
   Translates business requirements into delivery, comfortable working from a business problem through to a shipped model
  </li>
  <li>
   Understands the distinction between transactional and analytical systems, and how backend schema changes can affect downstream data models
  </li>
  <li>
   Comfortable working in a git-based development workflow, including pull requests, code reviews, and contributing to team coding standards
  </li>
  <li>
   Takes ownership of data quality in the models they build, proactively identifying and resolving issues rather than treating it as someone else's problem
  </li>
  <li>
   Curiosity about AI applications in data, including how modern tooling and semantic layers can be leveraged to build more intelligent data products
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice-to-haves
  </strong>
 </p>
 <ul>
  <li>
   Experience with dbt Cloud and BigQuery, including scheduling, orchestration, and warehouse optimisation
  </li>
  <li>
   Familiarity with Tableau or supporting analysts who use BI tools
  </li>
  <li>
   Experience building semantic layers, ideally with an understanding of how they support LLM and AI applications
  </li>
  <li>
   Experience with CDC pipelines or event-driven data architectures
  </li>
  <li>
   Python for data transformation or automation tasks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  <strong>
   Recharge your batteries
  </strong>
 </p>
 <ul>
  <li>
   Generous holiday policy: 25 days + bank holidays + managers can grant up to 5 extra days for high performance (total of 38 days a year)
  </li>
  <li>
   Free lunch on all office days via Feedr with daily meal choice
  </li>
  <li>
   Free snacks &amp; drinks on all office days
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Investment in you and your wellbeing
  </strong>
 </p>
 <ul>
  <li>
   Private Medical Insurance with Vitality
  </li>
  <li>
   Life assurance through YuLife
  </li>
  <li>
   &pound;25 credit for eye tests per year
  </li>
  <li>
   Free O2 concert tickets through our partnership with the O2
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Simplifying journeys so you can breathe easier
  </strong>
 </p>
 <ul>
  <li>
   &pound;50 parking credit per month via JustPark
  </li>
  <li>
   Cycle-to-work salary sacrifice scheme
  </li>
  <li>
   EV salary sacrifice car scheme via Octopus Energy
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We look out for your family
  </strong>
 </p>
 <ul>
  <li>
   Enhanced parental leave with 6-months enhanced maternity leave and 4 weeks fully-paid paternity leave
  </li>
  <li>
   Help finding great childcare with funded hours via Koru Kids
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Look after the pennies
  </strong>
 </p>
 <ul>
  <li>
   Competitive pension offering with standard and salary sacrifice options
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Success is best when it's shared
  </strong>
 </p>
 <ul>
  <li>
   Quarterly away days with the whole UK team
  </li>
  <li>
   Quarterly team social budget
  </li>
  <li>
   Social activities and celebrations on our gorgeous rooftop in King's Cross
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Interview Process
  </strong>
 </p>
 <ul>
  <li>
   First-stage - 30-minute virtual video interview via Google Meet with the People Team to tell you more about JustPark and the role and learn more about your experience
  </li>
  <li>
   Second-stage - 45-minute virtual video interview via Google Meet with the Hiring Manager
  </li>
  <li>
   Third-stage - Take home task - We always make sure that the task is relevant for the role and as efficient as possible. Our tasks vary in length based on role &amp; seniority but the task wouldn&rsquo;t take longer than a max. of 3-4 hours to complete
  </li>
  <li>
   Final stage - A 1 hour final interview in our lovely office in Kings Cross, where the team will ask you some questions on your task approach, any learnings and wider final interview-type questions
  </li>
 </ul>
</div>


<div>
 <p>
  <strong>
   Who are we?👋
  </strong>
 </p>
 <p>
  Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers' legs.
  <br/>
 </p>
 <p>
  Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.
  <br/>
 </p>
 <p>
  Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years.
  <br/>
 </p>
 <p>
  Ki's teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.
  <br/>
 </p>
 <p>
  <strong>
   Where you come in?
  </strong>
 </p>
 <p>
  We're looking for algorithm engineers to join our Algorithm Engineering team. You will work at the intersection of underwriting and algorithm development, developing machine learning enabled products that operate across over 25 classes of business ranging from Commercial Properties to Oil Rigs to Event Contingency insurance.
  <br/>
 </p>
 <p>
  You will help us better evaluate every single risk on its own merits, and on how it helps us build a profitable and stable portfolio, all in the space of under a minute. From large scale geospatial analysis to manage our exposure to natural catastrophes to research and development on low data volume machine learning approaches for classes of business with very few claims (like Terrorism insurance!). We operate at the point where the two very different worlds of technology and specialty insurance meet, and you will be part of both.
  <br/>
 </p>
 <p>
  We're a multi-disciplined team and pride ourselves on being commercially focused, bringing together deep expertise in specialty insurance and scalable machine learning product development. Our squads focus on delivering high-impact features and we favour a highly iterative, analytical approach. We invest time in research and development, internally and with academic institutions.
  <br/>
 </p>
 <p>
  We focus on the commercial outcomes that our algorithm achieves and we like (who doesn't?) well tested and maintainable code. Our algorithm is built in Python and our infrastructure is entirely cloud native and we maintain our infrastructure as code.
  <br/>
 </p>
 <p>
  <strong>
   What you will be doing: 🖋️
  </strong>
 </p>
 <ul>
  <li>
   Design, develop and maintain new features for Ki's underwriting algorithm for risk assessment and portfolio management
  </li>
  <li>
   Improve the robustness of the Ki algorithm by digitising the governance and control of our underwriting, actuarial and software processes, reducing our time to live
  </li>
  <li>
   Ensure the Ki algorithm is always online and available to generate line sizes
  </li>
  <li>
   Design and implement enabling services that makes the Ki algorithm more efficient, flexible and scalable
  </li>
  <li>
   Exercise software engineering best practice to ensure our algorithm product is built in line with Ki's broader engineering standards
  </li>
  <li>
   Support the integration of the Ki algorithm into the other core components of the broader platform
  </li>
  <li>
   Guide junior members to help them improve their engineering skills and understanding of the insurance market
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understanding of Machine Learning approaches and algorithms
  </li>
  <li>
   Understanding of the control and management of data products and machine learning algorithms
  </li>
  <li>
   Experience with python programming and various software design patterns
  </li>
  <li>
   Direct experience with at least one cloud provider required
  </li>
  <li>
   Experience working in regulated industry, especially financial services and insurance would be a plus
  </li>
  <li>
   Commercially minded, knowledge of the insurance market would be ideal or an aptitude/interest to learn more about the industry and how it operates
  </li>
  <li>
   Experience using project management and workflow tools (e.g. Jira)
  </li>
  <li>
   Experience with CI/CD tools such as GitHub Actions, Circle CI, Jenkins
  </li>
 </ul>
</div>


Algorithm 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)

Athsai

<div>
 <p>
  **Employment Type:** Permanent
 </p>
 <p>
  **Salary:** Up to &pound;75k
 </p>
 <p>
  **Location:**
  <strong>
   <em>
    in the Central London
   </em>
  </strong>
 </p>
 <p>
  <strong>
   **Work Arrangement:** In-office only, five days a week.
  </strong>
 </p>
 <p>
  ---
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Job Title:** Data Engineer
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Experience Required:** 8 Years
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Role Overview:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a Data Engineer to design and implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Key Responsibilities:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Design and implement robust real-time data pipelines from diverse sources.
 </p>
 <p>
  - Maintain a high-performance data warehouse for reporting and analytics.
 </p>
 <p>
  - Develop insightful Power BI dashboards and reports for stakeholders.
 </p>
 <p>
  - Use Azure Data Factory, Azure Functions, and Logic Apps for data integration.
 </p>
 <p>
  - Employ Python and SQL for data transformation and analysis.
 </p>
 <p>
  - Leverage OpenAI APIs for AI/ML solutions.
 </p>
 <p>
  - Collaborate with teams to align data strategy with business goals.
 </p>
 <p>
  - Ensure data quality, consistency, and compliance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Required Qualifications:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - 7-8 years in Data Engineering, Data Architecture, or related roles.
 </p>
 <p>
  - Experience with ETL/ELT pipelines and complex data ecosystems.
 </p>
 <p>
  - Proficiency in Python and strong SQL skills.
 </p>
 <p>
  - Familiarity wit
  <strong>
   h Azure services (Data Factory, Logic Apps, etc.).
  </strong>
 </p>
 <p>
  - Expertise in Power BI for data modeling and visualization.
 </p>
 <p>
  - Experience with OpenAI APIs or similar services.
 </p>
 <p>
  - Understanding of data warehousing and data governance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Preferred Qualifications:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Knowledge of DevOps practices and CI/CD pipelines.
 </p>
 <p>
  - Familiarity with cloud-native data platforms (e.g., Databricks).
 </p>
 <p>
  - Understanding of data privacy regulations (e.g., GDPR).
 </p>
</div>


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