data engineer

data scientist

machine learning engineer

ai engineer

senior data scientist

data 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)

Mitie

<div><h1 class="jobSectionHeader">Join Mitie &ndash; the future of high performing places.</h1>

ROLE: AI &amp; Analytics Engineer 
LOCATION: Hybrid (UK &ndash; Office presence as required) 
CONTRACT: Full Time

At Mitie, our people are our greatest strength, and our purpose is driven by a belief that better places lead to thriving communities. We're looking for a pragmatic and versatile AI &amp; Analytics Engineer to join our Data Transformation function, delivering scalable, user‑focused analytics solutions across our modern data platform.

This role spans analytics engineering, solution architecture, and lightweight application development, working across Microsoft Fabric, Azure, Python, SQL, and React to turn data into actionable, business‑driven solutions.

<h2 class="jobSectionHeader">Role Responsibilities</h2>
<ul><li>Design, build, and maintain data‑driven solutions to optimise processes and deliver new capabilities.</li>
<li>Develop and enhance analytics solutions across Microsoft Fabric and Azure platforms.</li>
<li>Contribute to the wider Azure environment, including Azure Functions, Container Apps, and Key Vault.</li>
<li>Support the development of AI‑powered tools such as natural language query agents, semantic retrieval, and RAG pipelines.</li>
<li>Participate in the design of scalable data architectures, including semantic layers, MDM frameworks, and reusable analytics components.</li>
<li>Contribute to frontend development (React/TypeScript) where required to support user‑facing analytics tools.</li>
<li>Collaborate with Data Engineers, Analysts, and BI teams to integrate outputs into production‑ready solutions.</li>
<li>Document solutions comprehensively, including architecture decisions, metadata, lineage, and operational considerations.</li>
</ul><h2 class="jobSectionHeader">Required Qualifications</h2>

Applicants must meet the below defined requirements for the role.
<h3 class="jobSectionHeader">
Technical Skills</h3>
<ul><li>Strong experience with Microsoft Fabric and Azure data platforms.</li>
<li>Advanced skills in Python, T‑SQL, and data modelling.</li>
<li>Experience developing and integrating REST APIs.</li>
<li>Knowledge of CI/CD pipelines, Git/DevOps workflows, and cloud engineering practices.</li>
<li>Practical experience designing scalable analytics or data solutions.</li>
<li>Working knowledge of React/TypeScript or willingness to contribute to front‑end development.</li>
</ul><h2 class="jobSectionHeader">Desirable</h2>
<ul><li>Experience with LLM/RAG architectures and AI tooling.</li>
<li>Strong hands‑on experience with React/TypeScript.</li>
<li>Experience deploying Azure Container Apps and cloud infrastructure.</li>
<li>Knowledge of Power BI, semantic models, and DAX.</li>
<li>Experience with tools such as DBT, FastAPI, DuckDB, or Polars.</li>
<li>Familiarity with Microsoft Graph API, YAML pipelines, and data platform automation.</li>
<li>Exposure to machine learning concepts or analytics tooling development.</li>
</ul><h2 class="jobSectionHeader">Key Skills &amp; Attributes</h2>
<ul><li>Strong problem‑solving mindset with ability to deliver practical, scalable solutions.</li>
<li>Comfortable working across the full data stack (data, infrastructure, architecture, and UI).</li>
<li>Excellent communication skills with ability to translate complex concepts into business value.</li>
<li>Proactive, self‑motivated, and able to operate in ambiguous environments.</li>
<li>Strong stakeholder engagement skills with confidence to challenge and influence decisions.</li>
<li>Product‑focused mindset, ensuring solutions are usable, maintainable, and valuable.</li>
</ul><h2 class="jobSectionHeader">What's in it for you?</h2>
<ul><li>Opportunity to work on cutting‑edge AI and analytics solutions within a large enterprise environment.</li>
<li>Access to Mitie's Choices lifestyle benefits platform, including additional holidays, dental cover, and tech schemes.</li>
<li>Virtual GP access for you and your household.</li>
<li>Financial wellbeing support through Salary Finance.</li>
<li>MiDeals discounts, cycle‑to‑work scheme, and retail offers.</li>
<li>Life cover up to 4&times; salary, enhanced pension contributions, and save‑as‑you‑earn scheme.</li>
<li>Opportunity to earn free shares through the Mitie Matching Share Plan.</li>
<li>Recognition through the Mitie Stars programme with monthly and annual rewards.</li>
<li>Continuous training, development, and career growth within Mitie.</li>
</ul>
There's a place for you at Mitie &mdash; join us today!</div>

AI and Analytics Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<div><div><div><div><div><div><div><div><div><div><div><div><div>Job Overview
 
We are seeking a strategic and technical Forward Deployed Engineer to lead the implementation of our newest innovations in Agentic Analytics across Tableau Next, Cloud and Server. In this high-impact role, you will bridge the gap between product and customer success. Your primary mission is to partner with our most strategic new customers to architect and deploy their very first agentic analytics use cases and supporting metrics and dashboards. By building robust semantic data models on top of the Salesforce Data360 and incorporating Agentforce topics and actions, you will transform raw data into actionable, conversational insights. You will not only ensure the technical success of these initial launches but also channel critical feedback from the field to our product teams, directly shaping the future of enterprise scale agentic analytics.
</div><div> 
Key Responsibilities
</div><ul><li>Architect and Deploy Conversational Agents: Lead the end-to-end technical design and build of bespoke conversational analytics agents, ensuring they are optimized for accuracy, latency, and user relevance.
</li><li>Design Semantic Data Models: Construct and refine complex semantic data layers within Salesforce Data360 to ensure the AI agent can accurately interpret, query, and visualize enterprise data structure.
</li><li>Accelerate Customer Time-to-Value: Act as the primary technical builder during the implementation phase, rapidly prototyping and iterating on solutions to solve the customer&rsquo;s specific business questions (&quot;Zero to One&quot; builds).
</li><li>Integrate Disparate Data Sources: Engineer scalable data pipelines to ingest, clean, and unify structured and unstructured data from various sources into the Data360 lakehouse environment and canonical model
</li><li>Bridge the Product-Customer Gap: Serve as the technical voice of the customer; document implementation friction points and collaborate with Product Management and Engineering to prioritize feature enhancements and roadmap items.
</li><li>Enable Customer Self-Sufficiency: Conduct technical hand-offs and mentoring sessions with customer data teams to ensure they can maintain, tune, and expand the semantic models and agents after the initial engagement.
</li><li>Troubleshoot Complex Architectures: Perform deep-dive root cause analysis on performance bottlenecks, hallucinations, or data modeling errors to ensure a reliable production-grade experience.
</li></ul><div>Required Qualifications
</div><ul><li>Professional Experience: 7+ years of technical experience in data engineering, analytics implementation, or software development, with a focus on customer-facing delivery.
</li><li>Data Lakehouse Proficiency: Strong hands-on experience with modern data architectures and SQL, specifically regarding data modeling and schema design.
</li><li>AI &amp; NLP Fundamentals: Practical experience building or deploying solutions that utilize Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), or conversational AI frameworks.
</li><li>Semantic Modeling: A solid understanding of how to map business logic to physical data (semantic layers, ontologies, or metrics layers).
</li><li>Programming Skills: Proficiency in Python for data manipulation and scripting; familiarity with API integrations.
</li><li>AI Native: Demonstrated ability to utilize ai coding and agentic harnesses to effect speedy iterative development and implementation of simple to complex prototypes and integrations. Uses ai on a daily basis to manage and
</li><li>Problem-Solving Agility: Demonstrated ability to navigate ambiguity and solve novel technical challenges in fast-paced, live customer environments.
</li><li>Communication: Exceptional ability to translate complex technical concepts for non-technical business stakeholders and executive leadership.
</li></ul><div>Preferred Qualifications
</div><ul><li>Experience with Tableau and similar BI platforms, specifically regarding data source integration, calculation syntax and dashboard design.
</li><li>Familiarity with the Salesforce Ecosystem (Agentforce, Data Cloud, Einstein, Apex).
</li><li>Experience architecting or implementing system automations and integrations via iPaas or API gateways.
</li><li>Experience in a &quot;Forward Deployed&quot; or &quot;Solution Architecture&quot; role at an enterprise software company
</li></ul></div></div></div></div></div></div></div></div></div></div></div></div>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Analytics Forward Deployed Engineer Principal

Visa

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision-making across regions. We are seeking a Data Engineer to execute on the design, delivery and evolution of scalable data engineering capabilities that underpin Data Science, AI and client facing products for all European markets.
The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining databases. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Python and SQL and have strong analytical skills related to working with structured and unstructured datasets.
Primary Responsibilities:<ul><li>
Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions</li><li>
Build, manage and deploy large scale ETL processes to generate data assets for the region</li><li>
Build modular and reusable code considering the configurability and scalability while adhering to low-level design</li><li>
Perform thorough unit testing of development tasks and document the test results using standard defined templates</li><li>
Build, schedule, and manage DAGs in Apache Airflow efficiently</li><li>
Monitor data processing tasks using Airflow</li><li>
Ensure quality control of data assets, through monitoring and reconciling data loaded across different stages in the data pipeline</li><li>
Utilize strong data analytics skills to identify, discuss, and promptly fix data issues</li><li>
Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations</li><li>
Collaborate and communicate with stakeholders for requirement understanding and clarifications</li><li>
Maintain the highest level of quality and detail-oriented approach in daily tasks</li></ul>
This is a hybrid position. This requires 3 days per week attendance in the London office
Qualifications
Basic Qualifications:<ul><li>
2-4 years development experience in building data pipelines and writing ETL code using Hive, PySpark, SQL and Unix</li><li>
Experience in writing and optimizing SQL queries in a big data environment</li><li>
Experience working in Linux/Unix environment and exposure to command line utilities</li><li>
Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems</li><li>
Exposure to code version control systems (e.g. git, GitHub)</li><li>
Experience working with cloud services (e.g. AWS, GCP, Azure)</li><li>
Familiarity with common agentic coding tools</li><li>
Hands-on experience building GenAI-based applications or workloads</li><li>
Ability to understand a diverse set of business domains and requirements</li><li>
Good understanding of agile working practices and related program management skills</li><li>
Experience with workflow orchestration tools (e.g., Apache Airflow) and designing reliable data workflows</li><li>
Experience applying data quality frameworks and practices (e.g., automated checks, reconciliation and data observability)</li><li>
Strong communication and presentation skills with ability to interact with different cross-functional team members at varying levels</li></ul>
Preferred Qualifications:<ul><li>
Advanced degree in technical field (e.g. Computer Science, statistics, etc.)</li><li>
Experience with visualization tools like Tableau and Power BI</li><li>
Exposure to Financial Services or the Payments Industry</li><li>
Hands-on experience with CI/CD and automation pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps) including testing and release practices</li></ul>
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Data 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

XPS Group

<div>
 
 Location:
 
 London
 
 
 
 Employment Type:
 
 Permanent, Full Time
 
 
 
 Grade:
 
 Senior Associate/ Consultant
 
 
 Hybrid
 
 
 REQ003340
 
 
 
 About XPS Group
 
 
 
 XPS Group is a prominent and growing UK consultancy and administration firm within the pensions and insurance sectors. As a FTSE 250 company with over 2000 employees, we leverage expertise alongside advanced technology to serve over 1,400 pension schemes and their sponsors. Our goal is to foster a workplace where diverse talents thrive.
 
 
 
 About The Role
 
 
 
 Our Data Analytics business continues to grow, and we are now looking for an experienced and technical MLOps Engineer to join our vibrant London office with hybrid working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI.
 
 
 XPS Analytics is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings.
 </li>
 <li>
 Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines.
 </li>
 <li>
 Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality.
 </li>
 <li>
 Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review.
 </li>
 <li>
 Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in XPS to integrate data science findings into practical advice and strategies.
 </li>
 <li>
 Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation.
 </li>
 <li>
 Provide training and support to other team members on using machine learning tools and understanding analytical techniques.
 </li>
 <li>
 Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders within XPS.
 
 
 </li>
 </ul>
 
 Essential
 
 
 
 
 Your Profile:
 
 
 
 <ul>
 <li>
 Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments.
 </li>
 <li>
 Experience in data wrangling using Python, SQL and ADF.
 </li>
 <li>
 Experience in CI/CD and DevOps/MLOps and version control.
 </li>
 <li>
 Familiarity with data visualization and reporting tools, ideally PowerBI.
 </li>
 <li>
 Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience in the pensions or similar regulated financial services industry is highly desirable.
 </li>
 <li>
 Experience in working within a multidisciplinary team would be beneficial
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 Enjoy a competitive salary, annual discretionary bonus, and 25 days&rsquo; holiday with buy/sell flexibility. Benefits include pension matching, healthcare plans, life assurance, and retailer discounts. We support our team with a flexible benefits scheme, employee assistance, and digital GP service. Participating in volunteering events is encouraged with paid volunteer days available. Referral bonuses are offered for introducing suitable candidates to XPS.
 
 
 
 How To Apply
 
 
 
 Interested candidates should submit applications via Apply Now option or contact recruitment@xpsplc.com for more information. Join XPS Group and contribute to a dynamic and inclusive workplace.
 
 
 
 Equal Opportunities Statement
 
 
 
 XPS Group is committed to diversity and equal opportunities. We welcome applications from all candidates, irrespective of sex, race, disability, sexual orientation, religion, or belief. As a Disability Confident employer, we ensure accessible and supportive work settings for all employees.
 
 
 
 Eligibility
 
 
 
 Any employment offer made will be conditional upon you satisfying DBS Disclosure checks, Employment or educational references, Satisfactory credit checks and eligibility to work in the UK before an offer can be made. XPS Group is not able to provide sponsorship to employees.
 
 
 
 Who Are We
 
 
 
 To find out more please visit: www.xpsgroup.com
</div>

MLOps 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)
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 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.
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Explore 621+ Data analytics engineer in London this July. Find roles across top companies and apply now to boost your career.

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