data engineer

ai engineer

data scientist

senior ai engineer

senior data engineer

analytics developer

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.
<br><br>
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
<br><br>
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.
<br><br>
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.
<br><br>
<b>In this role you'll:</b><br>
Build and maintain DBT models for cross-domain analytics use cases
<br>Create reusable facts, dimensions and marts for analytics consumption
<br>Support cross-domain data products such as Churn, LTV, Segmentation and Customer Intelligence
<br>Implement dbt tests, source freshness checks and reconciliation logic
<br>Translate business requirements into data models and metric logic
<br>Support data quality checks and model validation
<br>Document model definitions, business rules, assumptions and lineage
<br>Work closely with analytics and domain teams to ensure datasets are fit for reporting and decisioning
<br><br>
<b>We need someone with these skills:</b><br>
Strong hands-on experience with DBT
<br>Strong SQL and Snowflake experience
<br>Experience building facts, dimensions, marts and analytics-ready data models
<br>Strong understanding of data modelling and metric design
<br>Experience implementing dbt tests, source freshness checks and data quality validations
<br>Ability to translate business requirements into trusted data models
<br>Experience working with analysts, product teams and business stakeholders
<br>Good documentation skills for model logic, metric definitions and lineage
<br>Experience working in modern data stack environments
<br><br>
Collaboration is our superpower, diversity unites us, and excellence is our standard.
<br>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)

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

Beazley Group

<div>General:
<div><b>
Job Title:</b> Catastrophe Risk Data Automation &amp; Reporting Developer</div><div><b><br>
</b></div><div><b>Division:</b> Exposure Management &ndash; Underwriting</div><div><b><br>
</b></div><div><b>Reports To:</b> As per Beazley&rsquo;s organisation chart</div><div><b><br>
</b></div><div><b>Key Relationships:</b> Exposure Management team, Underwriting teams, Capital Modelling team, Ceded Reinsurance team, Risk Management team, Governance Committees</div><div></div><div><b><br>
Job Summary:</b> This role is within the Exposure Management team dedicated to catastrophe risk management for Beazley&rsquo;s Cyber Risks and Speciality Risks divisions. The role will enhance the efficiency, accuracy, and scalability of reporting and data processes across the business. The position focuses on modernising reporting pipelines, automating manual workflows, and ensuring the consistent and reliable production of critical management and regulatory information. The postholder will combine technical coding expertise with an understanding of insurance exposure data to deliver robust, long‑term solutions.</div><div></div><div><b><br>
Key Responsibilities:</b></div><p>
Reporting, Data Automation &amp; Solution Development:
</p><ul><li>Work alongside Exposure Management Analysts to update, streamline, and optimise reporting processes using modern coding practices, tooling, and programming languages.</li><li>
Design, build, automate, and maintain the production of Management Information (MI), ensuring outputs are accurate, timely, repeatable, and scalable.</li><li>
Develop automated data transformation routines, dashboards, and reporting feeds using tools such as SQL, R, Power BI, or Python (if applicable).</li><li>
Build solutions for how Exposure Management data is presented, consumed, and integrated with other functions (e.g., pricing tools, underwriting systems, capital modelling).</li><li>
Create reusable code modules, templates, and documentation to support consistent development standards across the team.</li></ul><div></div><div><br>
Process Improvement &amp; Regulatory Reporting:
</div><ul><li>Review and enhance internal processes for regulatory submissions, including (but not limited to) Lloyd&rsquo;s Realistic Disaster Scenarios (RDS) and Lloyd&rsquo;s RDS/RDL returns.</li><li>
Identify opportunities for automation, data quality improvement, and improved auditability within regulatory reporting.</li><li>
Ensure processes align with good practices in accuracy, validation, and governance.</li><li>
Train colleagues on processes and contribute to the upskilling of Exposure Management colleagues in data automation and reporting.</li></ul><div><b><br>
</b></div><div>Cross‑Functional Collaboration:</div><ul><li>
Work collaboratively with underwriting support functions (claims, risk, data management) to source, validate, and integrate data where required.</li><li>
Partner with IT on system upgrades, technology migrations, process redesigns, and testing to ensure seamless adoption of new Exposure Management systems.</li><li>
Collaborate with Beazley IT Architecture to design and implement long‑term, scalable technical solutions for reporting, data storage, and process automation.</li><li>
Support central Exposure Management on ad-hoc analytical projects, process reviews, and data investigations.</li></ul><div></div><div><br>
Quality, Governance &amp; Continuous Improvement:
</div><ul><li>Contribute to building strong data governance practices and improving data quality across Exposure Management.</li><li>
Develop monitoring and validation checks within automated processes to maintain accuracy and consistency.</li><li>
Ensure technical solutions are well-documented, tested, and maintainable for future use.</li></ul><div></div><div><b><br>
General:</b></div><p>
It is important that within all your interactions both internally and externally you adhere Beazley&rsquo;s core values - Being Bold, Striving for Better, and Doing the Right Thing as they contribute to an internal environment of teamwork and promote a positive brand image and experience to our external customers. We also expect Beazley employees to:</p><br>
<div></div><ul><li>
Comply with Beazley procedures, policies and regulations including the code of conduct which incorporates the PRA and FCA Conduct.</li><li>
Undertake training on Beazley policies and procedures as delivered by your line manager, the People &amp; Sustainability or assurance teams (compliance, risk, internal audit) either directly, via e-learning or the learning management system.</li><li>
Display business ethics that uphold the interests of all our customers.</li><li>
Ensure all interactions with customers are focused on delivering a fair outcome, including having the right products for their needs.</li><li>
Comply with any specific responsibilities necessary for your role as outlined by your line manager, the People &amp; Sustainability or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas. This may include, amongst others, Beazley&rsquo;s underwriting control standards, Beazley&rsquo;s claims control standards, other Beazley standards and customer relationship management.</li><li>
Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system. These may include membership of any Beazley committees or working groups.</li></ul><div></div><div><b><br>
Personal Specification:</b></div><p><b>
Education and Qualifications</b></p><ul><li>
Educated to A‑Level or equivalent.</li><li>
Degree in a relevant discipline preferred but not essential.</li><li>
Actuarial background is advantageous but not required.</li></ul><div><b>
Skills and Abilities</b></div><ul><li>
Strong numerical ability with excellent attention to detail and accuracy.</li><li>
Effective verbal and written communication skills, able to explain technical concepts to non‑technical audiences.</li><li>
Strong time‑management skills with the ability to manage competing priorities.</li><li>
Ability to work independently as well as collaboratively in a team environment.</li><li>
Problem-solving mindset with the ability to analyse issues and develop practical solutions.</li></ul><div><b>
Knowledge and Experience</b></div><ul><li>
Previous insurance experience, ideally within exposure management, analytics.</li><li>
Strong technical skills, including advanced Excel and SQL coding/programming experience.</li><li>
Other coding/programming experience desirable (e.g., VBA, R, Python, Power BI).</li><li>
Experience in process automation, data manipulation, and report production desirable.</li><li>
Understanding of catastrophe modelling, exposure data, or Lloyd&rsquo;s reporting frameworks beneficial but not essential.</li></ul><div><b>
Aptitude and Disposition</b></div><ul><li>
Self‑motivated and proactive with a passion for continuous improvement.</li><li>
Flexible and enthusiastic, able to adapt to evolving business needs.</li><li>
Professional, reliable, and committed to delivering high‑quality outputs.</li></ul><div><b>
Competencies</b></div><ul><li>
Accuracy &amp; attention to detail</li><li>
Self‑starter mentality</li><li>
Delivery speed balanced with quality</li><li>
Effective teamwork</li><li>
Strong organisational and time management skills</li></ul></div>

Catastrophe Risk Data Automation & Reporting Developer

CIBC

<div><p>We&rsquo;re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what&rsquo;s right for our clients.
</p><p></p><p>At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.
</p><p></p><p>To learn more about CIBC, please visit CIBC.com
</p><p></p><h2 class="jobSectionHeader"><b>STRATEGIC BUSINESS UNIT DESCRIPTION
</b></h2><p>Global Derivatives &amp; FICC Technology. This group provides technology solutions to the CIBC Capital Markets derivatives, fixed income and currency trading businesses.</p>
<p></p><h2 class="jobSectionHeader"><b>JOB PURPOSE</b><b>
</b></h2><p>This role is for a .NET developer to work on CIBC&rsquo;s intraday risk reporting platform. The role involves development of new features, technical analysis of the applications running on the grid, troubleshooting, post-mortem and remediation of production issues.</p>
<p></p><h2 class="jobSectionHeader"><b>KEY ACCOUNTABILITIES
</b></h2><ul><li><p>Developer on the Iris team</p>
</li><li><p>Work with dev team to deliver features &amp; bug fixes for the application</p>
</li><li><p>Work with clients of Iris (other dev teams) to efficiently manage their requests &amp; workload</p>
</li><li><p>Develop deep understanding of the app and the various contexts in which it is used by users</p>
</li><li><p>Ensure that high degree of code quality is maintained throughout the application stack</p>
</li><li><p>Document key components and features to ensure knowledge transfer and maintainability;</p>
</li><li><p>Attend meetings with key stakeholders to understand requirements</p>
</li><li><p>Ensure that modern development practices are adopted</p>
</li><li><p>Actively track performance metrics and develop solutions to address any issues found</p>
</li></ul><p></p><h2 class="jobSectionHeader"><b>CROSS-FUNCTIONAL RELATIONSHIPS
</b></h2><ul><li>This role requires working closely with QA team to coordinate testing and release management
</li></ul><ul><li>This role is required to work with Application Support team for 2nd line support for production incidents
</li></ul><ul><li>The role requires working with other dev teams in GDT, such as XTrader, Risk Technology, CMDA to manage integration with these systems.
</li></ul><ul><li>The role may require communication with the end users to understand their data usage.
</li></ul><ul><li>Colleagues on the Technology management teams to ensure shared accountability for overall success in achieving the Technology strategy and objectives.
</li></ul><p></p><h2 class="jobSectionHeader"><b>COMPLIANCE REQUIREMENTS/RESPONSIBILITIES
</b></h2><ul><li><p>As an employee of CIBC, the incumbent must comply with all applicable CIBC and Line of Business policies, standards, guidelines and controls.</p>
</li></ul><p></p><h2 class="jobSectionHeader"><b>AUTHORITIES/DECISION RIGHTS
</b></h2><ul><li><p>As a key contributor to the business unit, this job has the authority to recommend changes to business processes in order to enhance operational efficiency and effectiveness.</p>
</li></ul><p></p><h2 class="jobSectionHeader"><b>JOB DIMENSIONS
</b></h2><ul><li><p>Resolving complex technical issues and/or engaging external expertise/resources as required to ensure resolution. Gathering anecdotal and factual information from a number of sources in order to formulate a root cause.</p>
</li><li><p>Refining business requirements, converting them to technical requirements and devising an appropriate solution requires choosing from multiple technologies and ensuring that solutions stay within the guidelines of security/audit standards and conform to industry best practice.</p>
</li><li><p>Understanding various design patterns which can be leveraged in the design of a new environment and for applications are unique, extending and customizing each design solution.</p>
</li><li><p>Interacting with various functions on the project team to analyze the project and / or technical risk by analysis of project details such as timelines or capability being introduced or changed.</p>
</li><li><p>Dealing with issues that are outside of normal business process and are being encountered for the first time.</p>
</li><li><p>Being adaptable and flexible with frequently changing client requests.</p>
</li><li><p>Delivering solutions to multiple initiatives having key dependencies and conflicting / changing timelines with only a finite number of resources available.</p>
</li></ul><p></p><h2 class="jobSectionHeader"><b>KNOWLEDGE AND SKILLS
</b></h2><ul><li><p>Strong C# and .NET development skills</p>
</li><li><p>Familiar with concepts of Multi-threading and asynchronous programming</p>
</li><li><p>Comfortable with basic sql querying (eg T-SQL) and DB design principles (SQL Server)</p>
</li><li><p>Scripting (Powershell)</p>
</li><li><p>Comfortable with use of AI , eg GitHub Copilot</p>
</li><li><p>Working knowledge of cloud services desirable (Azure &amp; AWS)</p>
</li><li><p>Git, GitHub, GitHub Actions</p>
</li><li><p>Any degree of familiarity with JavaScript , Angular, AWS Batch, Azure Batch</p>
</li><li><p>Keen to learn new technology, inquisitive about how various tech is used to solve problems</p>
</li><li><p>Good verbal and written communication skills</p>
</li><li><p>Comfortable with writing technical documentation for use by Dev, Support &amp; QA teams</p>
</li></ul><h2 class="jobSectionHeader"><b>WORKING CONDITIONS
</b></h2><ul><li>This role operates within a normal office environment.
</li></ul><p></p><p><b>What you need to know
</b></p><ul><li>CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
</li><li>You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit</li></ul></div><p></p>

Associate, Risk Dashboard Developer

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>
  <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><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>

Explore 403+ Analytics developer in London this July. Find roles across top companies and apply now to boost your career.

403 analytics developer jobs In London

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

Analytics Engineer

Catastrophe Risk Data Automation & Reporting Developer

Associate, Risk Dashboard Developer

Analytics Engineer

Analytics Engineer

Analytics Engineer