senior consultant

Capgemini

<div><div><div><div>About the Job you are considering:
We are seeking an experienced Cloud &amp; Data Architecture Consultant to lead enterprise-scale cloud, data, and finance transformation initiatives. The ideal candidate will possess deep expertise in Google Cloud Platform (GCP) architecture, Oracle Integration Cloud (OIC), Enterprise Performance Management (EPM) strategy and tooling, and Databricks-based data platforms. This role will be responsible for defining target-state architectures, assessing and recommending EPM solutions, designing scalable integration frameworks, and enabling cloud-native data modernization programs. The consultant will work closely with business and technology stakeholders to drive architecture governance, solution design, and successful transformation outcomes.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
<ul><li>Define and drive enterprise-wide target-state architecture for cloud, data, and finance transformation programs.</li>
<li>Design scalable, secure, and high-performing GCP-based architecture solutions aligned with business and technology objectives.</li>
<li>Assess existing finance and performance management landscapes and provide EPM tooling recommendations based on business requirements, scalability, and future-state strategy.</li>
<li>Architect and govern Oracle Integration Cloud (OIC) solutions for seamless integration across Oracle and third-party applications.</li>
<li>Design and implement Databricks-based modern data platforms supporting analytics, reporting, and AI/ML use cases.</li>
<li>Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency and scalability.</li>
<li>Lead cloud migration and modernization initiatives, including workload assessment, architecture planning, and execution oversight.</li>
<li>Collaborate with finance, business, and technology leadership teams to align architecture decisions with transformation goals.</li>
<li>Establish and enforce architecture governance, best practices, security standards, and design principles.</li>
<li>Conduct architecture reviews, solution assessments, and technical due diligence for new initiatives.</li>
<li>Provide strategic guidance on data management, integration, cloud adoption, and enterprise application modernization.</li>
<li>Facilitate stakeholder workshops, architecture discussions, and executive-level presentations.</li>
<li>Mentor project teams and support delivery organizations in implementing approved architecture solutions</li>
</ul>Your Skills:
<ul><li>Strong expertise in Google Cloud Platform (GCP) Architecture, including cloud-native design patterns and modernization strategies.</li>
<li>Hands-on experience with Oracle Integration Cloud (OIC) and enterprise integration architecture.</li>
<li>Experience evaluating, selecting, and implementing Enterprise Performance Management (EPM) solutions.</li>
<li>Strong knowledge of Databricks, data lakehouse architecture, and modern data engineering principles.</li>
<li>Expertise in Enterprise Data Architecture, data modeling, data governance, and data integration frameworks.</li>
<li>Experience in Cloud Migration, application modernization, and hybrid cloud architectures.</li>
<li>Strong understanding of solution architecture methodologies, security, scalability, and performance optimization.</li>
<li>Familiarity with data warehousing, analytics, reporting, and business intelligence ecosystems</li>
<li>Experience delivering Finance Transformation and enterprise data transformation programs.</li>
<li>Strong understanding of financial planning, forecasting, budgeting, and performance management processes.</li>
<li>Ability to translate business requirements into scalable technology solutions.</li>
<li>Excellent stakeholder management and executive communication skills.</li>
<li>Strong consulting, problem-solving, and analytical capabilities.</li>
<li>Proven experience leading architecture workshops and influencing senior business and technology stakeholders.</li>
<li>Ability to work across cross-functional and distributed teams in a fast-paced environment.</li>
<li>Strong governance, decision-making, and strategic planning skills.</li>
<li>Experience in large-scale enterprise transformation programs.</li>
<li>GCP, Oracle, Databricks, or relevant cloud certifications.</li>
<li>Experience working in consulting environments or leading enterprise architecture engagements.</li>
<li>Familiarity with finance systems, ERP platforms, and performance management ecosystems.</li>
</ul>'We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul>Please opt in during the application process.
Make It Real (what does it mean for you):
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
 
To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li>
</ul>Why you should consider Capgemini:
Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
 
Make it real | www.capgemini.com</div></div></div></div><div></div>

Cloud & Data Architect

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
Sales
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.
Salesforce is hiring Deployment Strategists &mdash; Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound &mdash; typically 12 weeks or less &mdash; and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle &mdash; Identify Commit Deploy Consume &mdash; owning outcomes at every stage, not just discovery or deal closure
</li><li>AI Strategy &amp; Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.
</li><li>Deployment Oversight &amp; Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.
</li><li>Adoption &amp; Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization
</li><li>Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
</li><li>AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including
</li><li>Cursor, Claude, and our coding products like Vibes , to accelerate development.
</li><li>Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.
</li><li>AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents
</li><li>Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.
</li></ul><h2 class="jobSectionHeader">Required Qualifications
</h2><ul><li>4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology
</li><li>You have a degree in Computer Science or a related field
</li><li>Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have
</li><li>Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud
</li><li>Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex
</li><li>Proven ability to lead and own complex, ambiguous engagements end-to-end &mdash; from discovery through to measurable outcomes
</li><li>Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
</li><li>Strong project and programme management skills &mdash; ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments
</li><li>Ability to travel 25% of the time to customer sites
</li></ul><h2 class="jobSectionHeader">Preferred Experience
</h2><ul><li>Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing)
</li><li>Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare)
</li><li>Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms.
</li><li>Background in change management, organisational design, or enterprise transformation
</li><li>Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks
</li><li>A get-things-done mindset with strong bias for action &mdash; comfortable operating in unstructured fast moving environments
</li></ul>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>

Deployment Strategist

Pure Human Resources

<div>Senior Full Stack Developer<div>
England (Remote)
 
Full time, permanent
 
Salary: &pound;55,000 &ndash; &pound;70,000 (DOE)
 
Competitive benefits package</div><div>
Building technology that makes a real difference in healthcare</div><div>
Our client, Holmusk, is a global health technology company transforming behavioural health and chronic disease care through data, digital innovation and evidence-driven medicine.</div><div>
Following continued growth, they are seeking an experienced Senior Full Stack Developer to join their UK team and play a key role in the development of healthcare applications used within Mental Health Trusts across the UK.</div><div>
This is an opportunity to combine technical excellence with meaningful impact, helping to build secure, scalable and compliant software that supports frontline healthcare professionals.</div><div>
Senior Full Stack Developer, the role:</div><div><ul><li>Design, develop and maintain scalable full stack applications using C#/.NET and React
</li><li>Build responsive, high-performance user interfaces using modern JavaScript, HTML and CSS
</li><li>Contribute to architecture decisions, ensuring scalability, maintainability and security
</li><li>Develop and maintain automated testing frameworks across unit, integration and end-to-end testing
</li><li>Drive engineering best practice through code reviews and quality standards
</li><li>Work within a regulated software environment with a strong focus on quality and compliance
</li><li>Collaborate closely with a small, highly skilled development team
</li><li>Support CI/CD pipelines and cloud-based deployment processes
</li><li>Troubleshoot, optimise and improve performance across applications and services
</li><li>Contribute to documentation, traceability and technical governance requirements
</li><li>Support future growth of the engineering team through mentoring and knowledge sharing</li></ul></div><div>
Senior Full Stack Developer, the person:</div><div><ul><li>Strong commercial experience with C# /.NET Core /.NET 6+
</li><li>Strong React.js and modern JavaScript development experience
</li><li>Solid understanding of REST APIs, microservices and distributed systems
</li><li>Experience with design patterns and frameworks such as Entity Framework, MVC, MVVM or CQRS
</li><li>Proven experience implementing automated testing and quality assurance practices
</li><li>Experience with Azure cloud environments
</li><li>Strong knowledge of Git, CI/CD pipelines and DevOps principles
</li><li>Experience working with MS SQL and relational databases
</li><li>Understanding of secure coding principles and data protection requirements
</li><li>Experience using AI tools to improve development efficiency</li></ul></div><div>
Senior Full Stack Developer, the benefits:</div><div><ul><li>Opportunity to shape the development of a software solution that directly supports mental health service delivery
</li><li>Fully remote working
</li><li>Collaborative, flexible and supportive working culture
</li><li>Exposure to innovative healthcare technology at scale
</li><li>Opportunity to work with modern cloud, AI and digital health solutions
</li><li>Generous holiday allowance plus additional company days for national holidays
</li><li>Annual performance-based company bonus
</li><li>Ongoing professional development and career growth opportunities</li></ul></div><div>
Pure Human Resources Limited works in partnership with Holmusk in providing Recruitment support. No applications from agencies please.</div></div>

Senior Full Stack Developer

Cushman & Wakefield

<div>Job Title
Junior Analytics Engineer
Job Description Summary
Job Description
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.
Responsibilities:<ul><li>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</li><li>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</li><li>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</li><li>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</li><li>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</li><li>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</li><li>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</li><li>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</li><li>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</li><li>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</li><li>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</li><li>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</li><li>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</li></ul>
Requirements:<ul><li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</li><li>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</li><li>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</li><li>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</li><li>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</li><li>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</li><li>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</li><li>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</li><li>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</li><li>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</li><li>
Good communication skills, with the ability to ask clear questions and document work clearly.</li><li>
Knowledge of the real estate sector is a plus but not required.</li><li>
Fluent in English; additional European languages are an advantage.</li></ul> 
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact. 

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

Junior Analytics Engineer

Data Idols

<div><h2 class="jobSectionHeader">Senior Data Scientist</h2>
<h3 class="jobSectionHeader">Salary: &pound;85K &ndash; &pound;95K</h3>
<h3 class="jobSectionHeader">Location: London (Hybrid &ndash; 3 days per week)</h3>

Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.

Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.
<h3 class="jobSectionHeader">
The Opportunity</h3>

This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.

You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.

You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.

Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.

This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.
<h3 class="jobSectionHeader">
Skills &amp; Experience</h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.
<h2 class="jobSectionHeader">
Senior Data Scientist</h2></div><div></div>

Senior Data Scientist

HOMETRACK

<div>Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we&rsquo;re looking for in a Senior Data Engineer:<ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Senior Data Engineer

Navan

<div>We are looking for a Senior Backend Platform Developer to build modern services for Navan's contact center systems. This is a software engineering role first: where you will design APIs, serverless services, data flows, observability tooling, and AI-enabled workflows that support our customer and agent experience.

The contact center is the domain, but the core need is strong development capability. The right person is comfortable building production systems, integrating complex platforms, and using AI-assisted engineering tools to move quickly without sacrificing quality.

What You'll Do:
<ul>
<li>Production-grade Node.js services on AWS Lambda, API Gateway, and event-driven serverless patterns.</li>
<li>Secure APIs and integrations across internal systems, customer data, and third-party platforms.</li>
<li>Technical patterns, implementation standards, and reusable services for the broader contact center systems roadmap.</li>
<li>Observability pipelines using OpenSearch, CloudWatch, Kibana, Snowflake, and structured logging.</li>
<li>Automation and AI-enabled workflows that improve routing, agent support, troubleshooting, and operational visibility.</li>
<li>Migration tooling and services that help move legacy telephony and contact center workflows onto modern platforms, with enough design discipline to support future scale.</li>
</ul>
What We're Looking For
<ul>
<li>5+ years of backend software engineering experience, ideally with Node.js or TypeScript.</li>
<li>Strong API design, system architecture, integration, debugging, and asynchronous systems experience.</li>
<li>Hands-on experience with AWS Lambda or similar cloud/serverless architecture.</li>
<li>Experience with logging, monitoring, search, data pipelines, or production observability.</li>
<li>Practical use of AI coding assistants for development, testing, refactoring, and troubleshooting.</li>
<li>Fluency with GitHub workflows, including pull requests, code review, branching, and CI/CD collaboration.</li>
<li>Senior-level judgment to turn ambiguous operational problems into clean, maintainable technical solutions.</li>
</ul>
Helpful Domain Experience
<ul>
<li>Experience in contact center, telephony, customer support, or workflow automation environments.</li>
<li>Exposure to platforms such as Genesys Cloud, Twilio, Five9, NICE, Zoom Contact Center, or Avaya.</li>
<li>Familiarity with routing, queues, IVR, SIP, phone number management, call metadata, or agent-assist workflows.</li>
<li>Experience with Snowflake SQL, Terraform, CloudFormation, AWS SAM, or related infrastructure tooling.</li>
</ul>
This senior role will help Navan modernize the technical foundation behind our contact center environment. The work includes legacy platform migration, improved reliability and observability, AI-enabled automation, and new services that make our customer and agent experiences faster, smarter, and easier to operate.</div>

Senior Backend Platform Developer, Contact Center Systems

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