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>

Analytics Engineer

Cushman & Wakefield

<div>Job Title
Junior Analytics Engineer
Job Description Summary
Job Description
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.
Responsibilities:<ul><li>
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.</li><li>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</li><li>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</li><li>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</li><li>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</li><li>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</li><li>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</li><li>
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.</li><li>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</li><li>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</li><li>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</li><li>
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.</li><li>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</li></ul>
Requirements:<ul><li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</li><li>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</li><li>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</li><li>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</li><li>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</li><li>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</li><li>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</li><li>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</li><li>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</li><li>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</li><li>
Good communication skills, with the ability to ask clear questions and document work clearly.</li><li>
Knowledge of the real estate sector is a plus but not required.</li><li>
Fluent in English; additional European languages are an advantage.</li></ul> 
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. 

INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

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
As a Senior Analytics Engineer in the Data Analytics team, you&rsquo;ll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products. 
<ul><li>
Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.</li><li>
Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.</li><li>
Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements.</li><li>
Deliver, and enable others to build, well-defined, transformed, tested, documented, and code-reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self-serve, analyse, and build products and services upon it, getting reliable, consistent results.</li><li>
Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.</li><li>
Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration).</li></ul>
We&rsquo;re looking for someone who:<ul><li>
Has experience setting up &amp; developing dbt architecture using CI/CD practices (essential)</li><li>
Is highly proficient with SQL and data modelling best practices for optimising performance (essential)</li><li>
Has previously worked with visualisation tools such as Tableau or PowerBI (essential)</li><li>
Is confident collaborating and communicating with non-technical stakeholders (essential)</li><li>
Has experience integrating dbt with other tools in the modern data stack (essential)</li><li>
Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential)</li><li>
Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable)</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>

Senior Analytics Engineer

Simply Business

<div>
 
 Who Are We?
 
 
 
 We insure small businesses and enable big dreams &ndash; not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.
 
 
 We&rsquo;re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. Through our global social impact strategy, called 'The Big Dreams Project&rsquo;, we're working to help 10,000 small businesses start or grow by 2030.
 
 
 Why not check out our advert on YouTube: Simply Business TV advert 2024: 'Simply the Best'.
 
 
 
 Job Category
 
 
 
 Technology
 
 
 
 Position Type
 
 
 
 Permanent
 
 
 
 Target Openings
 
 
 
 1
 
 
 
 What Is the Opportunity?
 
 
 
 
 Here's What You'll Be Doing
 
 
 
 Data and Analytics (DNA) is the heartbeat of Simply Business, empowering every decision we make with precision and insight. As our Senior Analytics Engineer, you&rsquo;ll be at the forefront of this mission, moving beyond standard reporting to build the high-performance, event-driven data models that power our AI and ML future.This role is a unique blend of technical mastery and strategic influence. You won't just be building pipelines; you&rsquo;ll be pioneering AI readiness by designing low-latency architectures that drive real-time decisions&mdash;from dynamic pricing to risk assessment&mdash;across our entire global operation
 
 
 
 As One Of Our Senior Analytics Engineers, You'll
 
 
 
 <ul>
 <li>
 Design and build authoritative data models in our warehouse, ensuring every asset is robust, scalable, and fully AI/ML ready.
 </li>
 <li>
 Integrate diverse new data sources to enrich our analytical capabilities and provide the complex datasets required for advanced machine learning.
 </li>
 <li>
 Collaborate across engineering and product teams to ensure application designs support sophisticated reporting and real-time AI features.
 </li>
 <li>
 Manage and optimise ELT pipelines that serve as the single source of truth for our Finance, Operations, and Marketing teams.
 </li>
 <li>
 Champion technical standards by mentoring junior engineers and driving best practices in data governance and quality assurance.
 </li>
 <li>
 Pioneer feature engineering pipelines that allow us to challenge the status quo and deliver refreshing, data-led solutions to our customers.
 
 
 </li>
 </ul>
 
 We're Looking For Someone Who Is
 
 
 
 <ul>
 <li>
 A seasoned data expert with 3+ years of experience in analytics or data engineering, specifically modeling and transforming data using tools like dbt.
 </li>
 <li>
 Technically proficient in cloud environments, with hands-on experience using Snowflake or Databricks to manage large-scale data assets.
 </li>
 <li>
 Experienced in building ML features, with a passion for creating the infrastructure that makes artificial intelligence possible.
 </li>
 <li>
 Adaptable and curious, ideally bringing familiarity with various programming languages and an interest in evaluating new tools to drive AI adoption.
 </li>
 <li>
 A proactive problem solver who might have experience with real-time streaming (like Apache Flink) or a background in the insurance domain.
 </li>
 <li>
 A relatable communicator who can translate complex technical architecture into plain English for stakeholders across the business.
 
 
 </li>
 </ul>
 We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points above to be considered for this role.
 
 
 We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.
 
 
 
 Ready to build the future of insurance?
 
 
 
 If you&rsquo;re a tech-minded engineer who thrives on complexity and wants to see your code drive real-world impact, we want to hear from you. At Simply Business, we&rsquo;ve moved past legacy constraints&mdash;we&rsquo;re building a high-scale, event-driven ecosystem where your work on AI-ready data models will directly protect over 900,000 customers. Join a team where your expertise is celebrated, your development is prioritised, and your technical vision helps us redefine what&rsquo;s possible in Insurtech.
 
 
 
 Apply now to start your journey with SB
 
 
 
 
 What Are The Benefits Of Working At Simply Business
 
 
 
 <ul>
 <li>
 we offer a great work-life balance where workloads are manageable and everyone has the flexibility to work hybrid
 </li>
 <li>
 on top of the 25 days annual leave (plus bank holidays), we offer the option to buy five more days of holiday with your flexible benefits
 </li>
 <li>
 our flexible parental leave allows you to approach an important time how you want - with six months full pay to the primary caregiver and four weeks full pay if you're the secondary caregiver
 </li>
 <li>
 our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday. And our long-serving employees get a two week paid sabbatical after five years of service, then four weeks off after ten years of service
 </li>
 <li>
 private medical insurance through BUPA, that covers any pre-existing condition is a core benefit. Plus a health cash plan that covers your everyday medical expenses
 </li>
 <li>
 we offer a competitive salary based on your experience and the current market. Plus the potential to earn an annual bonus based on performance
 </li>
 <li>
 access to tools to support your personal development on our dedicated learning platform. As well as support for your mental health with access to counselling
 </li>
 <li>
 we match what you put into your pension up to five per cent. And pass on a tax-free sum that's four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme
 </li>
 <li>
 our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service)
 </li>
 <li>
 our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership
 
 
 </li>
 </ul>
 Ready to join us and drive our success as a high-performing team? Apply today.
 
 
 
 Employment Practices
 
 
 
 Simply Business is committed to providing equality and opportunities for all employees and candidates considering a career with us. We offer a workplace where colleagues are treated with respect and dignity. We don&rsquo;t (and won&rsquo;t) discriminate either directly or indirectly on the grounds of race, colour, religion, belief, political opinion, disability, nationality, ethnic origin, sex, sexual orientation or relationship status at any stage of the hiring process or during the course of your employment.
</div>

Leonardo

<div>Job Description:<div>
Salary Range: &pound;40,000 &ndash; &pound;71,400 basic with a 12.5% uplift</div><div><div><div><div><div><div><div><div><div>
Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity.</div></div></div></div></div></div></div></div></div>
Your impact
Our Central London team is looking for talented and enthusiastic analysts to perform weapon system assessments for our UK Ministry of Defence (MOD) customer. The role will suit either recent STEM graduates, postgraduates, or those with relevant industry experience of systems engineering who wish to apply their abilities in a technical analysis and systems assessment environment. You will help ensure that MOD&rsquo;s weapon assessments are robust and delivered in a timely manner to UK Defence partners and front-line forces.
This is intended as a fulltime position, but we would consider part time working of 4 days per week. This is primarily an on-site role with some possibility for hybrid working.<ul><li>
Customer Integration: You will be a member of a weapons project team within our larger Defence Analytics Group working in Central London. The group is integrated into a joint unit with government employees, members of the armed forces, and other contractors.</li><li>
The Challenge: To conduct analysis to assess the performance and capability of weapon systems. Complex problems are solved through the application of scientific methods, physical principles, data analytics, and AI and Machine Learning to intractable data sets. This process may involve new techniques and their encapsulation in improved tools.</li><li>
Collaboration: You will be working in close liaison with teams within the UK and partner nations, with the opportunity to contribute, influence, challenge and improve joint ways of working and knowledge.</li><li>
Breadth: You will be working in an environment where both the complexity and capabilities of the systems are continually evolving throughout the world.</li></ul>
What you&rsquo;ll do as a Defence Analytics Engineer:<ul><li>
Conduct analysis through the application of physical principles to real world problems. This will be facilitated through the suite of in-house software tools and the development of ad-hoc software, primarily in Python.</li><li>
Production of reports and presentations of your work and presentation of them to local MOD customers and the wider community both within the UK and partner nations.</li><li>
Provide ad hoc advice and support to MOD customers, often at short notice.</li><li>
Use your developing experience and knowledge to propose and implement improvements to tools and processes.</li><li>
In conjunction with the project team conduct regular liaison with both MOD and the wider customer base to keep them informed of recent developments and to determine future analysis requirements.</li><li>
Seek co-operative and collaborative approaches with our UK and multi-national partners, identifying best practice.</li><li>
Travel for technical exchanges with our partners, in the UK and abroad.</li></ul>
What you&rsquo;ll bring<ul><li>
A good understanding of scientific methods and their use through the application of fundamental physical principles.</li><li>
A degree in a STEM subject and strong numerical and analytical skills, with the ability to apply these to real world problems.</li><li>
Good Interpersonal skills to facilitate collaborative and effective working within an inter-disciplinary team.</li><li>
Ability to problem solve and self-steer, work to deadlines as necessary, sometimes at short notice.</li><li>
Ability to communicate, both in writing and verbally, with audiences of differing technical backgrounds and seniority.</li><li>
Although not essential, an appreciation of aerospace technologies, such as aerodynamics, propulsion, guidance &amp; control, weapon systems and sensors would be an advantage.</li><li>
Experience of Python, C# and AI/ML would be a distinct advantage.</li></ul>
This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn.
Security Clearance
This role is subject to pre-employment screening in line with the UK Government&rsquo;s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) will apply, this will include meeting the eligibility requirements for The Security Check (SC) and Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting
Why join us
At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work&ndash;life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we&rsquo;re here to help you thrive.<ul><li>
Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.</li><li>
Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution.</li><li>
Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity).</li><li>
Rewarding Performance: All employees at management level and below are eligible for our bonus scheme.</li><li>
Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning.</li><li>
Refer a friend: Receive a financial reward through our referral programme.</li><li>
Tailored Perks: Spend up to &pound;500 annually on flexible benefits including private healthcare, dental, family cover, tech &amp; lifestyle discounts, gym memberships and more.</li><li>
Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.</li></ul>
For a full list of our company benefits please visit our website.
Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team&mdash;they are key contributors to shaping innovation, advancing technology, and enhancing global safety.
At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.
Be part of something bigger - apply now!
Primary Location:
GB - London - Whitehall
Contract Type:
Permanent
Hybrid Working:
Onsite</div>

Defence Analytics Engineer

Ci&T

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
 
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
 
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
 
We're looking for a contractor to join us on a 6 month basis to help with a project in the financial services sector focussing on their DBT Modelling, cross-domain data products and trusted analytics-ready datasets.
 
In this role you'll: 
Build and maintain DBT models for cross-domain analytics use cases
 Create reusable facts, dimensions and marts for analytics consumption
 Support cross-domain data products such as Churn, LTV, Segmentation and Customer Intelligence
 Implement dbt tests, source freshness checks and reconciliation logic
 Translate business requirements into data models and metric logic
 Support data quality checks and model validation
 Document model definitions, business rules, assumptions and lineage
 Work closely with analytics and domain teams to ensure datasets are fit for reporting and decisioning
 
We need someone with these skills: 
Strong hands-on experience with DBT
 Strong SQL and Snowflake experience
 Experience building facts, dimensions, marts and analytics-ready data models
 Strong understanding of data modelling and metric design
 Experience implementing dbt tests, source freshness checks and data quality validations
 Ability to translate business requirements into trusted data models
 Experience working with analysts, product teams and business stakeholders
 Good documentation skills for model logic, metric definitions and lineage
 Experience working in modern data stack environments
 
Collaboration is our superpower, diversity unites us, and excellence is our standard.
 We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

[29868] - Data Analytics Engineer - DBT Modelling (Contract)

<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

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