ai engineer

data engineer

ai solution engineer

analytics engineer

senior analytics engineer

analytics consultant

Xantura

<div><h3 class="jobSectionHeader">Description</h3><div> 
In this role you will work in the Data &amp; Analytics Consulting team, a client-facing function responsible for the technical configuration and deployment of the OneView platform. 
</div><div>You&rsquo;ll work directly with our clients to deliver seamless software implementation, data extraction, data engineering, data science, product configuration and data visualisation. As a multi-skilled technical professional, you&rsquo;ll be capable of independently managing all of these technical aspects of client deployment, as well as supporting the client through the process. 
</div><div>You&rsquo;ll collaborate with Business Consultants, who oversee the non-technical elements of delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development), and Quality Assurance (testing and validation).</div> 
<h3 class="jobSectionHeader">
Key Responsibilities</h3><div> 

Technical delivery 
</div><ul><li>Data extraction - Support the client&rsquo;s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean data extraction</li>
<li>Data science - Configure existing predictive models to meet the client&rsquo;s needs, undertake technical scoping for new/iterated predictive models, apply descriptive analytics techniques to extract meaningful insight from client data, build proxy predictive models to demonstrate potential value early on.</li>
<li>Cohort building - Build preventative cohorts, test and adapt these with the client to optimise accuracy &amp; efficacy</li>
<li>Dashboards &ndash; Design and build/adapt dashboards to meet the client&rsquo;s needs and tell them what they need to know in a clear, intuitive way</li>
<li>Platform evolution &ndash; Integrating innovations and evolutions from your clients into the core platform for other clients to benefit from</li>
</ul><div>Project management - Scope and project manage all technical aspects of deployment to a client 
 
Problem solving and storytelling &ndash; Use your technical and analytical skills alongside your deep client understanding, technical expertise and market knowledge to extract interesting key insights from the client data and create compelling stories. 
</div><div>Communication and stakeholder management - Communicate the technical aspects of delivery to the client simply and clearly, enabling the deployment to be delivered rapidly and smoothly 
</div><div>Benefits tracking &ndash; Understand what metrics matter to clients and how our platform delivers financial value to them. Build tracking tools and engage the client on them. 
</div><div>Client upskilling &ndash; Support client counterparts in their technical knowledge and understanding, helping them take on a stewardship function &amp; future configuration 
</div><div>Collaboration &ndash; Partner with the Business Consulting team to deliver client projects</div> 
<h3 class="jobSectionHeader">
Skills, Knowledge &amp; Expertise</h3><div> 
We&rsquo;d love to hear from you if you have: 
</div><div>4+ years&rsquo; experience across data and analytics, including data engineering, data science, and data visualisation:</div><ul>
<li>Proficiency in Python, SQL, and R for data manipulation and querying</li>
<li>Familiarity with relational databases such as SQL Server, Oracle</li>
<li>Understanding of various data formats, including CSV, JSON, and XML</li>
<li>Experience with cloud platforms, particularly Azure or AWS</li>
<li>Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using Power BI and Tableau</li>
<li>Experience with QA processes, including unit, regression and integration testing, and producing high-quality analytical code that is traceable and repeatable</li>
<li>Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs</li>
<li>Experience with deployment tools and processes, such as Azure Data Factory (ADF), Azure ML and batch processing</li>
<li>Experience using DevOps or equivalent agile development environments</li>
</ul><div>4+ years&rsquo; experience leading clients through complex technical projects &mdash; you know how to navigate challenges, keep things on track, hit deadlines, communicate progress and deliver results. 
 
Sharp analytical skills &mdash; you love digging into data, solving problems, and turning insights into action. You&rsquo;re skilled in statistical analysis, regression, correlation analysis, and exploratory data analysis (EDA) 
 
Exceptional communication and stakeholder management skills &mdash; you can influence at all levels and translate technical concepts into business value. 
 
Strong understanding of technology project development and delivery, ideally within a high-growth tech company 
</div><div>A passion for social impact &ndash; you&rsquo;re excited about what we&rsquo;re doing and driven to help Xantura succeed 
</div><div>Bonus Points if you have: 
 
Experience working with the public sector (local or central government) or as a vendor/consultant to public sector clients 
 
Familiarity with privacy, security, and information governance in data projects</div><div> 
 
 
</div> 
<h3 class="jobSectionHeader">About Xantura</h3><div>
At Xantura, we&rsquo;re on a mission to reduce societal inequality by helping local authorities use data more effectively. Our AI-driven platform empowers frontline workers with the insights they need to prevent complex issues like homelessness or children being taken into care &mdash; before they happen. We make this possible by connecting siloed datasets, applying advanced machine learning to enrich the data, and using predictive analytics to identify those most at risk. Our platform then distills this into clear, actionable insights that help frontline staff intervene early and make a real difference. 
 
It&rsquo;s an exciting time to join Xantura. We&rsquo;re scaling quickly, bringing on new clients, strengthening our platform, and expanding into new areas. While we&rsquo;re a technology company at heart, our true focus is on improving lives &mdash; and we&rsquo;re looking for people who share that vision.</div></div>

Senior Data & Analytics Consultant

FTI Consulting, Inc.

<div>Who We Are
FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world&rsquo;s top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.
At FTI Consulting, you&rsquo;ll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you&rsquo;ll be an integral part of a focused team where you can make a real impact. You&rsquo;ll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.
Are you ready to make your impact?
<div><div><div>About The Role
We are looking for a talented and ambitious data and digital communications practitioner to join our award-winning team in London. Our highly successful and fast-growing Digital &amp; Insights practice helps fuel growth and innovation within FTI&rsquo;s global strategic communications division, and we are proud to work with some of the largest, best known and most innovative companies across the world. Our client list of FTSE 100 and large corporate brands gives us unrivalled opportunity to design, plan and implement world class corporate and online reputation management strategies.
As a Senior Consultant you will be part of both the firm&rsquo;s multi-practice team and the global Digital &amp; Insights group, supporting our growing data and analytics team across the EMEA (Europe, Middle East, Africa) and APAC (Asia and Pacific) regions. The successful candidate will contribute to a wide range of projects that help our clients and colleagues make sense of the world and to chart an effective path forward. They will also work in unison with other subject matter experts to create holistic solutions for clients.
The role requires a significant level of technical knowledge relating to, for example, communications and reputational data, natural language processing, data engineering in consulting environments, or AI and the application of analytics in relation to solving reputational challenges.
What You&rsquo;ll Do
<ul><li>Support projects in the areas of audience &amp; influencer insights, conversation &amp; media analysis, campaign &amp; message performance, event assessment and more
</li><li>Lead on implementing solutions on small scale insights projects and be a critical member of bigger team
</li><li>Use existing platforms and tools to collect and analyse data, deploying the latest in AI technology, strategy and practice
</li><li>Employ a variety of qualitative, statistical and machine learning-oriented approaches to investigate and interpret data
</li><li>Work with other data scientists to build and support custom solutions, applications and processing pipelines
</li><li>Interrogate multiple data source and extract insights by combining information from each
</li><li>Detect hidden patterns, identify trends, reveal drivers, predict developments, visualise similarities and differences, and otherwise leverage data to deliver actionable communications insights
</li><li>Create visually compelling reporting and presentations
</li><li>Act as an advocate of analytics inside the firm to evangelise the further adoption of data-driven solutions
</li><li>Help the team innovate by introducing novel tools and techniques to drive client value and internal productivity
</li><li>Collaborate with other experts on the research, planning and development of data-driven projects
</li><li>Support new business efforts by delivering data-driven insights to inform our approach
</li><li>Assist in the development of presentations, client decks and pitches
</li></ul>How You&rsquo;ll Grow
We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You&rsquo;ll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.
As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.
</div></div></div><div><div><div>What You Will Need to Succeed
<ul><li>Curiosity, critical thinking and creative problem-solving
</li><li>Passion for tackling challenging problems
</li><li>Detail-oriented and accuracy-focused approach
</li><li>Appetite for learning
</li><li>Desire to work with a geographically dispersed team
</li><li>Capability to work with other subject matter experts on joint solutions
</li><li>Strong (verbal and written) communication and presentation skills
</li></ul>Basic Qualifications
<ul><li>Experience in data science/data engineering/decision science roles
</li><li>Proven competency and focus on AI platforms and solutions across algorithmic and agentic categories (e.g., AI vendor APIs, open-source tooling such as LlamaIndex, HuggingFace, Claude Code or similar)
</li><li>Ability to turn complex and manifold data into clear insights
</li><li>Talent to create compelling visualisations that bring data to life
</li><li>Skillset to manipulate datasets in Python, SQL and Excel
</li><li>Ability to use GitHub to collaborate with other developers
</li><li>Familiarity with AWS or other cloud platforms
</li><li>Excellent English
</li></ul>Preferred Qualifications
<ul><li>Expertise with data visualisation tools (e.g., Graphext, Tableau)
</li><li>Proficiency with digital listening tools (e.g. Brandwatch/Talkwalker/Meltwater)
</li><li>Familiarity with AWS or other cloud platforms
</li><li>Expertise in journalism, media, communications, or marketing
</li><li>Knowledge of SEO and GEO/AIO
</li><li>Ability to write production-level Python code including automated testing
</li><li>Expertise in graph data science/network analytics
</li><li>Web automation technologies such as Selenium
</li><li>Familiarity with Terraform and DevOps principles
</li><li>Additional language skills
</li></ul>#LI-KR2
</div></div></div>FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.</div>

Senior Consultant, Digital & Insights, Data Science | Strategic Communications

Zoopla

<div>Who We Are
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches.
Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla&rsquo;s customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.
What You&rsquo;ll Do
Our Data &amp; Analytics Team powers data-driven decision-making across Zoopla. As a core member of this technical squad, you will implement, maintain, and optimise the tracking solutions that allow our Product, Engineering, and Marketing teams to self-serve. You are a hands-on problem solver and the trusted voice of authority for how data should be captured and routed across the business. 
 
Key Responsibilities<ul><li>
Tracking authority for product squads: Act as the subject matter expert for PMs and Developers. Instead of writing every spec for them, you will guide squads on how to design effective tracking, review &amp; approve their specs, and enforce the Zoopla Standard before taking on the implementation.</li><li>
Implement &amp; maintain tracking: Own the technical configuration in GTM and Amplitude. You will build out complex tracking setups, ensure events fire efficiently, and proactively monitor data quality across all platforms to keep our analytics reliable.</li><li>
Marketing &amp; AdTech integration: Act as the technical gatekeeper for marketing pixels and tags (e.g., Google Ads, Meta, Iterable). You will partner with Growth and Marketing teams to deploy tracking securely, ensuring implementations are optimized for site performance and routed cleanly via GTM or server-side solutions where possible.</li><li>
Configure data pipelines: Manage our CDP (Rudderstack). You will be responsible for configuring new destinations, mapping data correctly, and ensuring robust data flow from our apps and website to downstream tools.</li><li>
Experimentation SME &amp; troubleshooting: Serve as the technical escalation point for Amplitude Experiment. While squads will run and QA their own A/B tests, you will maintain the core framework (feature flags, assignment logic) and step in to troubleshoot complex setups or debug tricky exposure tracking issues.</li><li>
Cross-platform engineering partner: Work directly with App and Web engineers to deploy and debug third-party SDKs. You will act as the technical guide to resolve issues related to identity resolution, latency, or versioning across ecosystems.</li><li>
Privacy by design: Take charge of our Consent Management Platform (Usercentrics). You will ensure all new implementations - whether for product analytics or marketing pixels - are inherently GDPR-compliant, mapping tags accurately to consent categories and acting as the gatekeeper for privacy-safe tracking.</li></ul> 
Requirements<ul><li>
Technical proficiency: Strong skills in JavaScript. You have a solid, practical understanding of the DOM, browser APIs, data layer logic, and client-side data flows.</li><li>
Delivery track record: Proven experience hands-on implementing and managing product analytics tools (e.g. Amplitude, Mixpanel, or PostHog) and tag managers (GTM). You understand the event-driven mindset inside and out.</li><li>
CDP experience: Practical experience working with CDPs to route data effectively.</li><li>
Consultative execution: You own things end to end. You can look at a business or marketing objective, advise the team on the best tracking approach, and independently see the technical implementation through to deployment.</li><li>
Clear communicator: You are comfortable pushing back when standards aren't met and can translate complex technical tracking concepts into plain English to guide non-technical colleagues across Product, Marketing and Engineering.</li><li>
Engineering workflows: Comfortable with version control (Git/GitHub/GitLab) and participating in a collaborative codebase.</li><li>
Data verification: Ability to write SQL queries to verify data in a warehouse.</li><li>
Mobile experience: Hands-on understanding of how tracking and SDKs are implemented across Native React Apps.</li><li>
AI-ready: Comfortable using AI tools to speed up day-to-day coding and QA tasks.</li></ul> 
Our Stack<ul><li>
Orchestration: GTM, Rudderstack</li><li>
Analytics: Amplitude (Analytics + Experiment), GA4.</li><li>
Marketing &amp; Ops: Google Ads, Meta, Iterable, Usercentrics, Usabilla, Permutive.</li></ul>
Where You&rsquo;ll Be
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You&rsquo;ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing.
Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you&rsquo;ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 
Benefits 
<ul><li>
Our hybrid setup means you&rsquo;ll join us in the Tower Bridge office 3 days each week</li><li>
25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks</li><li>
Cycle to work and electric car schemes</li><li>
Free Calm App membership</li><li>
Enhanced Parental leave</li><li>
Fertility Treatment Financial Support</li><li>
Group Income Protection and private medical insurance</li><li>
Gym on-site in London</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li></ul></div>

Analytics Implementation Engineer

<div>About the role:
We are the world&rsquo;s largest and most successful deal analytics and modelling team. Sitting at the heart of PwC&rsquo;s +$10bn global deals business, we work with the world&rsquo;s largest investors on their most complex transactions and restructurings.
Our purpose is to support the increasingly sophisticated client demand for advanced data-driven insights to underpin their critical investment decisions. We deliver this with:<ul><li>
A range of products and services that deliver transformational insights to our clients throughout the deal cycle;
</li><li>Significant investments in cutting edge technologies and platforms;</li><li>
A world class and truly diverse team with a range of data science, technology, commercial, financial and industry backgrounds</li></ul>
For the right candidate, this is an amazing opportunity to build a career in an environment that fosters a creative and entrepreneurial spirit, with the unrivalled security, personal development, client access and investment that PwC brings.
We offer an exciting, continuous development journey to help you become a market leading deals advisor.
PwC operates in 136 countries around the world with over 364,000 employees and revenues of US$57bn.
What your days will look like:
We're looking for people with a commercial mindset who can deliver commercial insight to our clients and enhance the Deal value through compelling analysis. As a Data &amp; Analytics senior associate, you will play a key role in delivering analytics-led deal insight for clients, owning defined analytics workstreams within larger assignments, stretching yourself across many different industry sectors and engaging directly with clients, in a unique, commercially orientated role.
As part of this team you will help design and deliver high-quality analysis and insights to meet a range of business needs. For example:<ul><li>
Development of analytics showcasing the drivers and equity story of a business, either to management or to bidders, to increase deal confidence
</li><li>Creation of analytics to arm management with data-driven insights, enabling fact-based decision making and driving value within the business
</li><li>Working with clients to gather and understand data, including sourcing and integrating data from multiple internal and external sources (e.g. APIs, web data, industry datasets)</li><li>
Using Python, SQL, Databricks and other data manipulation tools to structure, cleanse, transform and analyse large or complex datasets to support robust analysis</li><li>
Using your technical expertise and translating this for non-technical stakeholders to support clear, evidence-based decisions
</li><li>Creating reports, dashboards and presentations, and communicating findings to clients and stakeholders
</li><li>Supporting business development and proposition development, including identifying opportunities to apply analytics to new client problems.</li><li>
Helping raise technical standards across the team, including developing reusable analytical approaches, coaching Associates, supporting code and output review, and contributing to the quality of analytical delivery.</li><li>
Bringing your ideas and creativity to the team, continuously challenging how we deliver the best outcomes
</li></ul>Most importantly, we need you to become a business partner and strategic advisor to our clients, translating and communicating your analysis to help answer critical commercial questions.
The role is for you if:
If you are naturally inquisitive, have an analytical mind and enjoy solving problems, we would be interested in talking to you. You should be comfortable working with data, drawing insights and explaining your thinking clearly to others. Candidates should also be prepared to travel, as some opportunities may require working at other PwC offices or client sites across the UK or overseas on a temporary basis.
Essential requirements of the role:<ul><li>
Significant relevant experience in data analytics, data science, deals or a related analytical role.</li><li>
Degree in a STEM related subject (Science / Technology / Engineering / Mathematics), and a clear interest in how data and technology can be used to solve business problems.</li><li>
Strong practical experience using Python, Databricks and /or SQL to manipulate, analyse and interpret datasets, ideally in a professional or client-facing environment.</li><li>
Experience using AI-enabled tools to accelerate workflow development, improve analytical efficiency and support more scalable analytics delivery.</li><li>
Data visualisation and presenting insights in a clear and structured way (e.g. Power BI or similar).</li><li>
Experience working with, structuring or combining multiple data sources (including large or complex datasets).</li><li>
Experience of coaching / training juniors to support their development.</li></ul>
In addition, we are looking for candidates who can demonstrate:<ul><li>
Commercial thinking to complex problems, leveraging data analytics to generate insights and support decision-making.</li><li>
An ability to translate data and analysis into clear, commercially relevant insights.
</li><li>Strong problem-solving skills and the ability to approach ambiguous or complex questions.
</li><li>Confidence communicating technical concepts to non-technical stakeholders.</li><li>
A proactive approach, with the ability to learn quickly and work effectively as part of a team.</li></ul>
The role requires flexibility to travel throughout the UK.
What you&rsquo;ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.</div>

LA&R, Data & Analytics Senior Associate (Deals Insights & Analytics)

Bauer Media Group

Location: London, Hybrid [1-2 days per week on site]
 
Our Team: How we enrich everyday life
 
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.
 
Working closely with Data Engineers, Data Scientists, Product Managers and business stakeholders, we combine central expertise with local market knowledge to deliver real impact.
 
The difference you will make
 
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.
 
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.
 
Your role
 
You’ll design and build scalable data models and pipelines that translate complex data into meaningful insights for the business.
 
Responsibilities include, but are not limited to: 
Design and develop dimensional data models and marts using dbt and Kimball principles
 Build and maintain transformation pipelines from raw data to business-ready datasets
 Define and evolve semantic layers to ensure consistent metrics and reporting across tools like Looker, Power BI and Tableau
 Collaborate with Data Engineers to shape upstream data and improve data pipelines
 Implement data quality checks and maintain reliable, trusted datasets
 Support the migration and modernisation of legacy data platforms to Snowflake
 Maintain documentation including data dictionaries and semantic definitions
 Contribute to agile workflows, code reviews, and cross-functional collaboration
 Get involved with setting up Airflow DAGs or write Terraform to setup infrastructure.
 
The skills you will bring
 
Must-have: 
Strong SQL skills and experience with modern cloud data warehouses (e.g. Snowflake, Redshift, or BigQuery)
 Hands-on experience with dbt for data transformation and modelling
 Solid understanding of dimensional modelling (Kimball methodology)
 Experience working with BI tools such as Looker or Power BI
 Comfort working in agile teams using tools like Jira and GitHub
 Strong communication skills with the ability to translate data into business concepts
 
Nice-to-have: 
Experience with Snowflake or modern cloud data platforms
 Exposure to Airflow, Terraform, or CI/CD practices
 Experience with data quality tools such as Great Expectations
 Familiarity with Tableau or multi-BI environments
 Background in media, digital, or subscription-based businesses
 Experience using Python for data and analytics engineering tasks
 
About Bauer Media Group
 
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.
 
What’s in it for you
 
You’ll have 28 days holiday, bank holidays & 2 volunteer days to use.
 Your development matters, so access to our internal training provider – Bauer Academy, is a huge win.
 We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay.
 You’ll have the opportunity for flexible working.
 And much more! Find the full details of our benefits here
 
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.
 
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
 
We are actively recruiting for this position, so the job advert may close earlier than expected.
 
If you have any feedback regarding our UK recruitment process, please email careershub@bauermedia.co.uk we would love to hear from you.
 
Date Job Posting Last Updated: 25 Jun 2026
 
Location: 
London, GB, NW1 2PL
 
#job-location.job-location-inline { display: inline; }
 Req ID: 3719

Analytics Engineer

JustPark

<div>
 
 
 About JustPark
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 Now, as one unified company, we're combining expertise to offer a full-service, frictionless parking solution for both businesses and consumers.
 
 
 
 
 
 
 About the Role
 
 
 
 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.
 
 
 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.
 
 
 
 
 
 
 Responsibilities
 
 
 <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>
 
 
 
 
 
 What does success look like in your first 3 months?
 
 
 <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>
 
 
 
 
 
 Requirements
 
 
 
 
 Must-haves
 
 
 <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>
 
 
 
 
 
 Nice-to-haves
 
 
 <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>
 
 
 
 
 
 Benefits
 
 
 
 
 Recharge your batteries
 
 
 <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>
 
 
 
 
 
 Investment in you and your wellbeing
 
 
 <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>
 
 
 
 
 
 Simplifying journeys so you can breathe easier
 
 
 <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>
 
 
 
 
 
 We look out for your family
 
 
 <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>
 
 
 
 
 
 Look after the pennies
 
 
 <ul>
 <li>
 Competitive pension offering with standard and salary sacrifice options
 </li>
 </ul>
 
 
 
 
 
 Success is best when it's shared
 
 
 <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>
 
 
 
 
 
 Our Interview Process
 
 
 <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>

Avanade

<div>
 
 As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes.
 
 
 
 
 This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions.
 
 
 
 
 
 
 Role Responsibilities
 
 
 <ul>
 <li>
 Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value.
 </li>
 <li>
 Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services).
 </li>
 <li>
 Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services.
 </li>
 <li>
 Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards.
 </li>
 <li>
 Participate in client workshops, technical discussions, and solution shaping sessions.
 </li>
 <li>
 Support pre-sales activities when required through technical input, solution design, and proof-of-concept development.
 </li>
 <li>
 Develop reusable assets, patterns, and accelerators that strengthen Avanade&rsquo;s AI and automation capabilities.
 </li>
 <li>
 Stay current with emerging Microsoft AI technologies and contribute to internal AI &amp; Data communities of practice.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Experience
 
 
 <ul>
 <li>
 Hands-on experience delivering solutions using Microsoft Copilot Studio.
 </li>
 <li>
 Microsoft certifications in AI, Power Platform, or Azure (desirable).
 </li>
 <li>
 Awareness of governance, security, and responsible AI considerations in enterprise environments.
 </li>
 <li>
 Experience working in consulting or professional services organisations.
 </li>
 <li>
 Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management.
 </li>
 <li>
 Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse).
 </li>
 <li>
 Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills and Experience
 
 
 <ul>
 <li>
 Ability to clearly communicate technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions.
 </li>
 <li>
 Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions.
 </li>
 <li>
 Experience designing and delivering AI-driven or automation solutions in a client-facing environment.
 </li>
 <li>
 Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design.
 </li>
 </ul>
 
 
 
 
 
 Enjoy your career
 
 
 
 Some of the best things about working at Avanade
 
 <ul>
 <li>
 Opportunity to work for
 
 Microsoft&rsquo;s Global Alliance Partner of the Year
 
 (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
 </li>
 <li>
 Access to global
 
 Data &amp; AI communities
 
 , accelerators, and subject‑matter experts
 </li>
 <li>
 The chance to work on complex, high‑impact initiatives across
 
 data governance, analytics, and AI
 
 </li>
 <li>
 Clear and supported career progression across Consultant and Senior Consultant levels
 </li>
 </ul>
 
 
 
 
 Find out more about some of our benefits here.
 
 
 
 
 
 
 A great place to work
 
 
 
 As you bring your skills and abilities to Avanade, you&rsquo;ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You&rsquo;ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It&rsquo;s all here, so take a closer look!
 
 
 
 
 
 We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion &amp; Diversity page.
 
 
 
 
 
 Create a future for our people that focuses on
 
 
 &bull; Expanding your thinking &bull; Experimenting courageously &bull; Learning and pivoting
 
 
 
 
 
 Inspire greatness in our people by
 
 
 &bull; Empowering every voice &bull; Encouraging boldness &bull; Celebrating progress
 
 
 
 
 
 Accelerate the impact of our people by
 
 
 &bull; Amazing the client &bull; Prioritizing what matters &bull; Acting as one
 
 
 
 
 
 
 Learn more
 
 
 
 To learn more about the types of projects our Data Engineering team works on check out these case studies:
 
 <ul>
 <li>
 thyssenkrupp Materials Services uses data to help strike a delicate operational balance
 </li>
 <li>
 What matters to SSE Renewables is innovating for a sustainable future
 </li>
 </ul>
 
 
 
 
 Interested in knowing what&rsquo;s going on inside Avanade? Check out our blogs:
 
 <ul>
 <li>
 Avanade Insights &ndash; exchange ideas that drive tomorrow&rsquo;s innovation
 </li>
 <li>
 Inside Avanade &ndash; explore what life is like working at Avanade
 </li>
 </ul>
</div>

AI Engineer

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