data engineer

data scientist

senior data scientist

senior software engineer

software engineer

data developer

RocketFin Consulting

<div><h1 class="jobSectionHeader"><b>Key Responsibilities</b></h1>
<p><b>
Data Engineering &amp; Pipelines</b></p>
<ul>
<li>Build and enhance data pipelines and automation workflows on Azure for large-scale data ingestion and processing</li>
<li>Maintain and optimise existing toolkits, databases, dashboards, and API-based solutions</li>
<li>Develop end-to-end automated data solutions across commodities (Gas/LNG, Power, Weather)</li>
<li>Design and implement web scraping pipelines (e.g. US LNG data)</li>
</ul>
<p><b>Analytics &amp; Real-Time Systems</b></p>
<ul>
<li>Support real-time and batch analytics use cases in a dynamic trading environment</li>
<li>Enable and support analytics dashboards and GUI tools with reliable backend infrastructure</li>
<li>Develop real-time flow tracking solutions at critical market points</li>
</ul>
<p><b>Data Modelling &amp; Architecture</b></p>
<ul>
<li>Design and manage Snowflake data models, ensuring performance and scalability</li>
<li>Integrate external data sources including ENTSOE, EPEX, KPLER, MetDesk, WoodMac, and others</li>
<li>Collaborate with analytics teams to structure data for models and advanced analytics use cases</li>
<li>Build and maintain data platforms supporting ML models such as demand forecasting</li>
</ul>
<p><b>Key Deliverables</b></p>
<ul>
<li>LNG Sendout Optimisation Model</li>
<li>Ship Tracking &amp; Flow Monitoring Tools</li>
<li>Prompt Price &amp; Forward Curve Bootstrapping</li>
<li>Web scraping pipelines for US LNG and other market data sources</li>
<li>Real-time flow tracking infrastructure at critical market points</li>
<li>Data platforms supporting ML and demand forecasting models</li>
</ul><h1 class="jobSectionHeader"><b>Required Skills &amp; Experience</b></h1>
<p><b>
Technical</b></p>
<ul>
<li>Strong proficiency in Python for data engineering and pipeline development</li>
<li>Hands-on experience with Azure data services (Data Factory, Databricks, Blob Storage, etc.)</li>
<li>Experience designing and optimising Snowflake data models</li>
<li>Proven track record building and maintaining data pipelines at scale</li>
<li>Experience integrating third-party market data APIs and external data feeds</li>
<li>Familiarity with SQL and data warehousing concepts</li>
</ul>
<p><b>Domain</b></p>
<ul>
<li>Experience or strong interest in energy, commodities, or financial markets data</li>
<li>Understanding of real-time and batch data processing patterns in a trading context</li>
<li>Familiarity with market data providers such as ENTSOE, EPEX, KPLER, or similar</li>
</ul><h1 class="jobSectionHeader"><b>Nice to Have</b></h1>
<ul><li>Experience with web scraping frameworks (e.g. Scrapy, BeautifulSoup, Playwright)</li>
<li>Knowledge of LNG, Gas, or Power market fundamentals</li>
<li>Experience supporting ML model pipelines or demand forecasting workflows</li>
<li>Exposure to GUI/dashboard tools such as Grafana, Power BI, or Streamlit</li>
<li>Knowledge of ship tracking data or AIS feeds</li></ul></div><p></p>

Data Engineer

Athsai

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


Data Engineer - Azure/ADF

Claims Recruitment Services Limited

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>23/06/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Permanent</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Insurance</b><b>
</b></div></div><div><p>City</p>
<div><b>London</b><b>
</b></div></div><div><p>Province</p>
<div><b>London</b><b>
</b></div></div><div><p>Country</p>
<div><b>United Kingdom</b><b>
</b></div></div><div><p>Postal Code</p>
<div><b>N/A</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>We are recruiting for a Data Engineer on behalf of one of the UK's fastest-growing technology consultancies, ranked in the Financial Times FT1000 Europe's Fastest-Growing Companies list in both 2025 and 2026.</p><p><br>
The successful candidate will contribute to the mission of protecting the UK through data-driven insights and solutions, working closely with public sector clients and project teams to develop and implement data engineering pipelines that support data science and business intelligence use cases.</p><p><b><br>
Key Responsibilities</b></p><br>
<ul><li>
Assessing clients' technical needs and managing stakeholder relationships appropriately.<br>
</li><li>
Identifying, designing, and implementing ETL / ELT pipelines across on-premise, cloud-based, and hybrid environments, including harvesting, ingesting, integrating, cleansing, migrating, and converting structured and unstructured data.<br>
</li><li>
Designing and managing data structures, storage, and data flows to enable analytics, machine learning, business intelligence, compliance, and system integration.<br>
</li><li>
Building solutions with security, compliance, scalability, reliability, and portability at their core, ensuring all data handling aligns with ethical principles and relevant legislation.</li></ul><p><b><br>
Key Requirements</b></p><br>
<ul><li>
3+ years of degree level industry experience in data engineering, preferably in a consultancy or client delivery setting.<br>
</li><li>
Proven experience across data analysis, extraction, transformation, and loading, with hands-on knowledge of relevant technologies such as Spark, Python, Kafka, SQL, Airflow, and cloud-based ETL services.<br>
</li><li>
Experience designing schemas for data warehouses and data marts, assessing data quality issues, and integrating quality checks into pipelines.<br>
</li><li>
Knowledge of cloud infrastructure (AWS, Azure, or GCP) and database technologies including relational and non-relational stores such as Postgres, Hadoop, Elasticsearch, and Graph databases.<br>
</li><li>
Solid understanding of coding best practices, design patterns, CI / CD tooling, versioning, dependency management, error handling, monitoring, and alerting.</li></ul><p><br>
If you want to apply your data engineering skills to work that genuinely matters, at a business with the momentum to match, get in touch today.</p><p><br>
Due to the nature of the clients and projects supported by this role, all candidates must be British nationals and eligible to obtain <b>UK Security Clearance (SC)</b>. Candidates holding dual nationality or multiple passports are unfortunately unable to be considered for this position.</p><div></div><div><i><br>
We do not retain any personal information without your permission. Please refer to our data protection policy on our official website for more information.</i></div></div></div></div><p></p>

Merlin Entertainments

<div><h2 class="jobSectionHeader"><b>What you'll bring to the team
</b></h2><div><div><div><div><b>Senior Data Scientist</b></div><div><b>
Location:</b> London/Hybrid</div><div><b>
Hours:</b> 37.5 hours per week</div><div><b>
Contract: </b>Permanent - Salaried</div><div></div><div><br>
You are a senior technical authority within the Data Science capability. You are responsible not only for building models, but for defining what should be built, ensuring quality, and bridging the gap between business outcomes and technical delivery.</div><div></div><div><b><br>
Responsibilities:</b></div><ul><li>
Build and deploy predictive models and advanced analytics solutions for high-value use cases.</li><li>
Own the most complex and high-impact modelling problems.</li><li>
Ensure robustness, explainability, and performance of models in production.</li><li>
Define the features and datasets required for modelling.</li><li>
Collaborate with the Lead Data Modeller to shape semantic definitions and structures.</li><li>
Work with Engineering to ensure pipelines support modelling needs.</li><li>
Translate business problems into analytical approaches.</li><li>
Challenge poorly defined requests and drive clarity on outcomes.</li><li>
Communicate trade-offs between model complexity, data availability, and delivery timelines.</li><li>
Establish and enforce best practices for modelling, evaluation, and deployment.</li><li>
Implement peer review processes for models and code.</li><li>
Ensure ethical and responsible use of data and AI.</li><li>
Mentor junior and mid-level Data Scientists.</li><li>
Support capability development and knowledge sharing.</li><li>
Act as a confident voice in shaping Data Science practices.</li><li>
Work closely with the Lead Data Modeller to define &lsquo;Gold&rsquo; data required for analytics.</li><li>
Partner with Data Engineers to ensure model readiness and operational deployment.</li><li>
Align with Delivery Lead on prioritisation and feasibility.</li></ul><p></p><div><div><div><div><div><div><div><div><br>
Merlin - It's where we playMerlin Entertainments</div><p></p><div><div><div>
Merlin Entertainments2.17K subscribers</div></div></div></div></div></div><div></div><div><div><div><div><div>
Watch on</div></div></div></div></div></div></div></div></div><div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience
</b></h2><div><div><div><ul><li>Degree in a relevant field such as Computer Science, Mathematics or Engineering.</li><li>
At least 4 years of experience in a data science or statistical role with a proven track record of delivering impactful solutions.</li><li>
Experience in developing and deploying machine learning models and statistical analysis.</li><li>
Familiarity with distributed computing tools and cloud platforms (e.g., Azure Synapse, Snowflake, Databricks).</li><li>
Experience with data transformation and analytics tools (e.g., Python, SQL, Spark SQL).</li><li>
Proven ability to work with large datasets and complex data structures.</li><li>
Strong background in applying statistical and machine learning techniques to solve business problems.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Benefits
</b></h2><div><div><div><ul><li>&lsquo;Enjoy the Ride&rsquo; Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones!</li>
<li>Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year&rsquo;s service</li>
<li>33 days holiday (including bank holidays)</li>
<li>Company bonus</li>
<li>Private pension scheme</li>
<li>40% discount online off LEGO</li>
<li>25% discount in our on-site retail shops and restaurants</li>
<li>Ongoing training and development opportunities</li>
<li>Plus, many more&hellip;</li></ul><br>
<div></div>
<div><b>
If you have any questions or if you require any assistance, because of a disability or medical condition, please contact us by email at Recruitment@Merlinentertainments.biz and one of the team will get back to you as soon as possible.</b></div>
<div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Pay Range
</b></h2><div><div><div>Competitive</div></div></div></div>
<br><div>At Merlin we welcome the world to our magical attractions and resorts every day and we want to reflect that same multicultural mix inside our business too. We strive to create an inclusive and diverse workplace where people can be themselves, have the same opportunities and thrive together. Because at Merlin, everyone matters!
<br>
<br>
Together, we work to create a workplace where everyone feels valued, no matter their age, race, gender, disability or sexual orientation. Although we understand that we'll always be learning and growing, we aim to be the most inclusive and flexible employer in our industry.</div>

SENIOR DATA SCIENTIST

duvo.ai

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We already collect a lot of data &mdash; now we need someone to turn it into leverage. This is not a classic pipelines-and-warehouse hire (that's table stakes). It's an AI-native take on the data role: build the foundations, then build the agents and internal workflows on top that make the whole organization faster and more data-driven.
 <br/>
 <br/>
 What you'll own
 <br/>
 <br/>
 The data foundation &mdash; pipelines, warehouse, the substrate. Necessary, but not the point.
 <br/>
 <br/>
 Agents and internal workflows built on top of that foundation &mdash; the actual leverage.
 <br/>
 <br/>
 Enabling the org (product and beyond) to make faster, data-driven decisions.
 <br/>
 <br/>
 This is an AI-native, senior role for someone who builds. You'll work across the data substrate and the agentic layer on top of it, and you'll be measured by how much faster and smarter you make the rest of the team.
 <br/>
 <br/>
 Compensation Range: &euro;135K - &euro;190K
 <br/>
 <br/>
</div>


Data Engineer (EU/UK Based - Remote)

Sainsbury’s

<div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div><h4 class="jobSectionHeader"><b>Salary: </b><b>Competitive Plus Benefits</b><br>
<b>Location: </b><b>London Store Support Centre and Home, London, EC1M 6HA
</b><br>
<b>Contract type:
</b><br>
<b>Business area: </b><b>Data &amp; Analytics</b><br>
<b>Closing date: </b><b>07 July 2026</b><br>
<b>Requisition ID: </b><b>400067294</b></h4><p></p><div><div>At Sainsbury&rsquo;s, data sits at the heart of how we operate, innovate and serve our customers. Our Data &amp; Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury&rsquo;s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury&rsquo;s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you&rsquo;ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI.
</div></div><div><div><p><b>Senior Data Scientist &ndash; Nectar360</b></p><br>
<p></p>
<p><b>
Location</b></p>
<p>
London &ndash; Farringdon/Home</p>
<p><b>
Reporting to</b></p>
<p>
N360 Data Science Manager</p><br>
<p></p>
<p><b>
What is it?</b></p>
<p>
We&rsquo;re looking for a talented Senior Data Scientist to join Nectar360 &ndash; the team behind Sainsbury&rsquo;s Retail Media offering, and the UK&rsquo;s largest coalition loyalty programme (Nectar), with 24 million members nationwide.</p>
<p>
Our N360 Data Science team builds the systems behind our market-leading Retail Media platform (N360 Pollen), allowing hundreds of suppliers, media agencies and internal teams to set up, customise and measure their marketing campaigns. We develop and continuously improve our cutting-edge measurement capabilities, including multi-channel attribution, uplift estimation, AI-driven targeting and budget optimisation - across instore, onsite and offsite media. Our work enables suppliers to engage with customers every day and maximise the impact of their advertising.</p>
<p>
Based in our new Farringdon office, this role will work closely with decision-makers across Nectar360 and Sainsbury&rsquo;s to continue building innovative solutions for Nectar360, our suppliers and partners, using our incredible data assets, our rich customer understanding, and state of the art machine learning and AI. As one of the senior individual contributors in the team, you&rsquo;ll apply your wealth of experience and ideas to design, build, and improve our capabilities &ndash; driving value for the customer and the business. With a large team of data scientists and analysts across Sainsbury&rsquo;s and millions of known customers, the scale and scope are huge.</p><br>
<p></p>
<p><b>
What you will do</b></p>
<p>
As a Senior Data Scientist, your key responsibilities will include:</p>
<p>
Solve the hard problems</p>
<ul>
<li>Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives in Nectar360, including our industry-leading marketing measurement solutions.</li>
<li>Develop and enhance modelling and optimisation capabilities, using techniques such as MMMs, causal inference, multi-touch attribution, experimentation Bayesian modeling, unsupervised learning and many others.</li>
<li>Own projects, leading junior colleagues and engaging with stakeholders to define goals and ensure projects deliver impact.</li></ul><br>
<p></p>
<p>
Embody and improve best practice</p>
<ul>
<li>Align to best practice across modelling, experimentation, deployment, and model lifecycle management.</li>
<li>Coach through doing &ndash; pairing on code and demonstrating standards.</li></ul><br>
<p></p>
<p>
Be an enthusiastic member of our community</p>
<ul>
<li>Become the recognised data science technical expert in your team, bringing new ideas for future approaches, including state of the art techniques where appropriate.</li>
<li>Understand how our business really works and how data science can improve customer experience and our offering to 3rd parties.</li>
<li>Actively contribute to our vibrant Data and Analytics community of over 800 colleagues</li></ul><br>
<p></p>
<p><b>
Who you are</b></p>
<p>
We&rsquo;re looking for a highly motivated self-starter &ndash; someone who fixes problems and creates value without micromanagement. You need to know how to balance our need for technical rigour against our need to deliver commercial and customer value.</p>
<p>
Value delivery</p>
<ul>
<li>Extensive experience in Data Science roles in a commercial setting, with evidence of solving complex problems end-to-end.</li>
<li>A record of building systems which run in production, and an understanding of the value these generated.</li>
<li>An ability to understand commercial reality as well as technical rigour, and a pragmatic mindset.</li>
<li>Experience working in an Agile way, and ability to understand the trade-off between immediate value, future value, and technical options.</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority, and present key ideas and insights succinctly.</li>
<li>Independence in proposing and implementing solutions</li></ul><br>
<p></p>
<p>
Data Science expertise</p>
<ul>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings, with proven experience in some of the following areas: Causal inference, MMMs, Bayesian inference, experimentation, multi-touch attribution, time series modelling.</li>
<li>Ability to select the right technique for a given objective and avoid pitfalls.</li>
<li>Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.</li></ul><br>
<p></p>
<p>
Production-grade design</p>
<ul>
<li>Advanced programming ability in Python and strong ability to use SQL, with a proven experience of developing complex solutions and working with large codebases as part of a team.</li>
<li>Solid understanding of setting up and working with production codebases, version control and CI/CD.</li>
<li>Practical experience working with cloud platforms and MLOps tools to build and maintain production-ready solutions.</li>
<li>Ability to lead technical conversations with Data/ML Engineers.</li></ul><br>
<p></p>
<p>
Development and coaching</p>
<ul>
<li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li>
<li>Ability to support in the development, training and mentoring of others</li></ul><br>
<p></p>
<p><b>
Essential Criteria</b></p>
<ul>
<li>Extensive experience in previous Data Science roles in a commercial setting</li>
<li>A record of building systems which run in production</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority</li>
<li>Independence in proposing and implementing solutions</li>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings</li>
<li>Advanced programming ability in Python and strong ability to use SQL</li>
<li>Solid understanding of working with production codebases, version control and CI/CD.</li></ul><br>
<p></p>
<p><b>
Support we will provide</b></p>
<ul>
<li>A vibrant team to bounce ideas off and to support you with specialised knowledge (technical, stats/data science or business processes)</li>
<li>Mentoring from Data Science Managers</li>
<li>Automation and orchestration support from our integrated engineering and product teams within Nectar360</li>
<li>Technical and non-technical training and regular hackathons, learning days and knowledge sharing sessions.</li></ul><br>
<p></p>
<p>
We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Please see www.sainsburys.jobs for details.</p><br>
<p></p>
<p>
#DataAndAnalytics</p>
<p>
#DataScience</p>
<p>
#LI-CM1</p>
</div></div><div><div><p>We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to &pound;10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks&rsquo; pay for maternity or adoption leave and up to 4 weeks&rsquo; pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).&quot;</p></div></div></div><p></p>

Senior Data Scientist

Opus Recruitment Solutions

<div>
 <p>
  Freelance: Full‑Stack Developer (Insurance Experience Required)
 </p>
 <p>
  Start Date: 20/07/26
 </p>
 <p>
  Duration: 6 Months (extension highly likely)
 </p>
 <p>
  Location: London (Fully Remote)
 </p>
 <p>
  Capacity: 40 hours per week
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We&rsquo;re looking for an experienced Full‑Stack Developer with Insurance domain expertise to support the development and scaling of a high‑growth digital platform within the insurance sector.
 </p>
 <p>
  You will work across both frontend and backend layers, collaborating closely with product, design, and engineering teams to deliver robust, scalable, and high‑performance solutions.
 </p>
 <p>
  A key focus of the role will be building modern user interfaces (Vue.js) while contributing to backend services, APIs, and architecture that support complex insurance workflows and data models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Design, develop, and maintain full‑stack applications across frontend and backend layers.
 </p>
 <p>
  Build modern, responsive frontend applications using Vue.js.
 </p>
 <p>
  Develop and maintain backend services and APIs to support business logic and integrations.
 </p>
 <p>
  Work with insurance-related systems, data structures, and workflows (e.g. policies, claims, underwriting).
 </p>
 <p>
  Collaborate with product managers, designers, and other developers to deliver high‑quality features.
 </p>
 <p>
  Integrate frontend components with backend services and third‑party APIs.
 </p>
 <p>
  Contribute to architectural decisions across the full technology stack.
 </p>
 <p>
  Identify and resolve performance, scalability, and UI/UX issues.
 </p>
 <p>
  Ensure code quality through best practices, testing, and code reviews.
 </p>
 <p>
  Support the continuous improvement of development processes and system reliability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Strong commercial experience as a Full‑Stack Developer.
 </p>
 <p>
  Proven experience working within the insurance domain (mandatory).
 </p>
 <p>
  Strong frontend expertise with Vue.js (Vue 2 and/or Vue 3). (other frontend technologies feel free to apply)
 </p>
 <p>
  Proficiency in JavaScript and TypeScript.
 </p>
 <p>
  Backend development experience (e.g. Node.js, Java, or similar).
 </p>
 <p>
  Experience designing and consuming RESTful and/or GraphQL APIs.
 </p>
 <p>
  Knowledge of state management (Vuex, Pinia, etc.).
 </p>
 <p>
  Solid understanding of HTML5, CSS3, and responsive design principles.
 </p>
 <p>
  Familiarity with databases (SQL and/or NoSQL).
 </p>
 <p>
  Experience with modern development tools, version control (Git), and CI/CD pipelines.
 </p>
 <p>
  Strong problem-solving skills and ability to work in a distributed team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have (Not Required)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Experience with Nuxt.js.
 </p>
 <p>
  Experience with cloud platforms (AWS, GCP, or Azure).
 </p>
 <p>
  Familiarity with insurance platforms or standards (e.g. Guidewire, INSIS, or similar).
 </p>
 <p>
  Exposure to automated testing frameworks (Jest, Cypress, Playwright).
 </p>
 <p>
  Experience working in a fast-paced or scaling environment.
 </p>
 <p>
  Knowledge of microservices architecture or event-driven systems.
 </p>
</div>


Full Stack Engineer

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249 data developer jobs In London

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