data & AI
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Agentic AI Software Engineer

Hybrid, Houston (4 days per week in office)

About the Role

You’ll design and build AI agents that reason across complex workflows, interact with enterprise tools and systems, and take action on behalf of users. This includes intelligent support agents that understand user intent, retrieve information, and resolve or escalate requests, along with the applications, data pipelines, and infrastructure that support them.

What You’ll Do

Agent Development

• Design and build AI agents and agentic workflows combining LLMs, APIs, RAG, and business logic
• Build secure integrations with enterprise applications, databases, and knowledge sources
• Develop agent memory, context, guardrails, and evaluation frameworks for reliable production use

Application Development

• Build user facing applications and backend services that power AI agent experiences
• Own features end to end, from backend and AI orchestration through frontend experience
• Ensure applications and agentic systems are scalable, secure, and enterprise ready

Data & Infrastructure

• Build data pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
• Build RAG pipelines enabling agents to retrieve and reason over enterprise data
• Implement CI/CD, testing, observability, and monitoring across AI and application systems

What You’ll Need

• Bachelor’s degree in computer science, Software Engineering, or a related field
• 8+ years building production grade software, including recent, dedicated experience building AI agents and agentic workflows
• Experience with LLMs, RAG, tool calling, or agent orchestration frameworks
• Full stack development experience, including APIs, backend services, and frontend applications
• Experience designing agent memory, context, retrieval, or evaluation systems

Compensation & Benefits

Up to $180,000

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Senior Data Engineer

Hybrid | Addison, TX (3 Days Onsite) $140,000 – $160,000 Base Salary U.S. Citizens & Green Card Holders Only

Shape the Data Foundation of a High-Growth, PE-Backed Organization

We’re partnering with a rapidly growing, private equity-backed services organization undergoing a major data transformation. Following a period of significant acquisition-driven growth, the company is investing heavily in modernizing its data platform, creating a rare opportunity for a hands-on Data Engineer to help build a scalable enterprise data ecosystem from the ground up.

This is not a maintenance role.

You’ll join at the beginning of a large-scale modernization initiative, working directly alongside an implementation partner to stand up a brand-new Snowflake environment, establish data architecture and governance standards, and build the pipelines and transformations that will power reporting, analytics, and future AI initiatives.

If you’re someone who enjoys creating structure from complexity, influencing data strategy, and owning systems end-to-end, this role offers exceptional visibility and long-term growth potential.

What You’ll Be Doing

• Partner with consultants and internal stakeholders to design and implement a new enterprise data platform centered around Snowflake
• Build and maintain scalable ELT pipelines using modern cloud data technologies
• Develop, optimize, and support dbt models and transformation frameworks
• Own backend data workflows from source system ingestion through reporting and analytics consumption
• Help establish data governance, cataloging, documentation, and quality standards
• Integrate data from multiple business systems into a centralized warehouse environment
• Support Domo reporting and analytics initiatives by delivering clean, trusted datasets
• Define best practices, architecture standards, and processes that will remain in place long after implementation is complete
• Collaborate with both technical and business stakeholders to ensure reporting consistency and data integrity across the organization

Key Technologies

Current & Future Stack

• Snowflake
• dbt
• Fivetran
• Domo
• Cloud Data Warehousing
• ELT / ETL
• Data Cataloging & Governance

What We’re Looking For

• 7+ years of experience in data engineering, data warehousing, or related data platform roles
• Strong experience building and supporting modern cloud data warehouse environments
• Hands-on Snowflake experience
• Proven expertise with dbt and data transformation frameworks
• Experience building and maintaining ELT/ETL pipelines
• Understanding of data architecture, modeling, and governance principles
• Experience supporting analytics and reporting teams through trusted datasets
• Ability to communicate effectively with both technical and non-technical stakeholders
• Comfortable working in environments where processes, standards, and data maturity are still evolving

Nice to Have

• Fivetran expertise
• Data catalog implementation experience
• Medallion Architecture exposure
• Experience participating in cloud modernization initiatives
• Exposure to Snowflake Cortex or AI-enabled data products

Why This Opportunity Stands Out

• High-impact greenfield data environment with significant ownership
• Opportunity to influence enterprise-wide data strategy and architecture
• Work directly with executive leadership on a highly visible transformation initiative
• Join during a critical platform implementation and become the long-term owner of the environment
• Clear growth trajectory as the organization continues to invest in data and AI capabilities
• Collaborative team with the ability to shape standards, processes, and future hiring decisions

Logistics

Location: Addison, TX

Schedule: Hybrid (Tuesday, Wednesday, Friday onsite)

Compensation: $140,000 – $160,000 base salary

Work Authorization: U.S. Citizen or Green Card Holder required. No current or future sponsorship available.

Target Start Date: October 2026

Interested? This is an opportunity to help build the data foundation for a growing enterprise while positioning yourself at the center of its long-term analytics and AI roadmap.

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Full Stack Engineer

Up to £85,000

London (2 days a week in office)

This is an exciting opportunity to join a fast-growing technology business that is transforming how people engage with and manage their finances. You’ll work on a modern product, collaborate with highly skilled engineers, and play a key role in delivering innovative software in an AI-first engineering environment.

THE COMPANY

They are a high-growth technology organisation developing innovative digital products that help users make better decisions through data, analytics, and intuitive technology. Operating within a collaborative, cross-functional environment, they combine modern engineering practices with a strong focus on user experience and product excellence. Their teams work closely across technology, data, and operations to deliver scalable solutions and drive continuous innovation.

THE ROLE

As a Full Stack Engineer, you will join a cross-functional engineering squad, taking ownership of key areas of a client-facing web application while contributing across the software development lifecycle.

Specifically, you can expect to be involved in the following:

• Building and delivering new features within a modern web application using React, JavaScript, and TypeScript.
• Developing high-quality, scalable, and reusable code with a strong focus on performance and user experience.
• Collaborating with product, engineering, and operational teams to deliver business-critical functionality.
• Contributing to backend development when required, working with microservices and cloud-based technologies.
• Using AI-assisted development tools throughout the engineering lifecycle, including design, implementation, testing, and code review.
• Participating in agile delivery processes, sprint planning, estimation, testing, and releases.
• Helping to improve engineering standards, software quality, scalability, and operational efficiency.

SKILLS AND EXPERIENCE

The successful Full Stack Engineer will have the following skills and experience:

• Strong commercial experience developing front-end applications with JavaScript and TypeScript.
• Excellent knowledge of React and modern state management approaches.
• Practical experience using AI-assisted or agentic coding tools within software development workflows.
• Strong ability to review, test, and improve AI-generated code while maintaining high engineering standards.
• Knowledge of testing frameworks and test-driven development principles.
• Experience working with APIs and modern integration technologies, including GraphQL.
• Familiarity with CI/CD pipelines, cloud environments, and software documentation.
• Experience with Java or Kotlin, Spring Boot, microservices, PostgreSQL, Kafka, Docker, AWS, and Kubernetes would be highly beneficial.
• Strong communication skills and the ability to thrive in a collaborative environment.

BENEFITS

The successful Full Stack Engineer will receive the following benefits:

• Salary up to £85,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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DATA ANALYST
REMOTE (UK)
UP TO £55,000

This is an excellent opportunity for a commercially minded Data Analyst with a strong finance background to join a growing, data-driven organisation. Sitting within a small finance team and reporting to the Finance Director, you’ll play a key role in improving reporting, strengthening data quality, and supporting business decision-making through financial and operational insights.

ROLES AND RESPONSIBILITIES:
The Dtaa Analyst will:

• Own and develop finance reporting and management information.
• Support quarterly forecasting processes and maintaining financial models covering forecasts, business plans, and cash flow.
• Reconcile data across Xero, SQL, and Power BI environments.
• Manage and uploading finance and operational data.
• Produce board-level reporting on cash performance, operational metrics, and key business KPIs.
• Analyse large datasets to identify trends, variances, and performance against expectations.
• Build new reports and enhancing existing reporting processes.
• Investigate data discrepancies and ensuring data integrity.
• Collaborate with finance, technology, and data stakeholders to improve reporting capabilities.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong accounting or finance background with experience in financial analysis and reporting.
• Advanced Excel skills, including financial modelling and data analysis.
• Practical experience using SQL and Power BI.
• Experience working with large datasets, reconciliations, and data validation.
• Ability to interpret financial and operational data and communicate findings clearly.
• Comfortable working in a hands-on environment and taking ownership of processes.
• Strong attention to detail and problem-solving capabilities.
• Able to engage effectively with both technical and non-technical stakeholders.

APPLY BELOW!

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Data Analyst
London remote | £50,000 – £55,000
Must have full right to work in the UK

This is an exciting opportunity for a commercially minded Data Analyst to join a growing organisation at a pivotal stage of its journey. Combining finance, reporting, and data analysis, the role offers genuine ownership, exposure to senior stakeholders, and the chance to shape reporting processes that directly support business growth and decision-making.

The Company

They are a fast-growing organisation operating in a highly data-driven environment, delivering services at scale through a technology-enabled model. Working across multiple complex contracts and service streams, they rely on accurate reporting and insight to support strategic decisions and long-term growth. As the business continues to expand, they are investing in their finance and data capabilities to improve visibility, efficiency, and performance.

The Role

As a Data Analyst, you will sit within a small finance team and work closely with senior stakeholders to manage reporting, analysis, and data processes across the business.

You will:

* Own and develop finance reporting and management information
* Support forecasting cycles and maintain large-scale financial models covering forecasts, planning, and cash flow
* Reconcile data across multiple systems, including Xero, SQL, and Power BI
* Upload, manage, and maintain finance and operational datasets
* Produce board-level reporting on financial performance, operational metrics, and contract activity
* Analyse volumes, performance trends, and operational data against forecasts and expectations
* Build new reports and dashboards while enhancing existing reporting processes
* Investigate and resolve data discrepancies to ensure data accuracy and integrity
* Partner with finance, technology, and operational stakeholders to improve reporting capabilities and decision-making

Your Skills & Experience

You will have:

* Strong experience in a finance, accounting, or financial analysis role
* Advanced Excel skills, including financial modelling and reporting
* Practical experience using SQL and Power BI for reporting and data analysis
* Experience working with large, complex datasets and performing reconciliations
* Strong analytical and problem-solving skills with excellent attention to detail
* The ability to communicate insights clearly to both technical and non-technical stakeholders
* A proactive and organised approach, with the confidence to take ownership of processes and improvements

What They Offer

* Salary of £50,000 – £55,000
* Remote working arrangement
* Direct exposure to senior leadership and key business stakeholders
* The opportunity to shape and develop reporting processes in a growing organisation
* A varied role spanning finance, analytics, reporting, and business performance
* Strong opportunities for professional development and career progression

How to Apply

If you’re a Data Analyst with strong Excel, SQL, and Power BI skills, apply today to learn more about this opportunity.

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Senior Pricing Analyst
West Midlands/London
45-60K

If you’re looking for a Senior Pricing Analyst role where your work has visible commercial impact and genuine ownership, this is an excellent opportunity to join a highly analytical business that continues to invest heavily in data, pricing, and technology. You’ll work on strategic pricing initiatives, partner with a range of stakeholders, and help shape pricing decisions across multiple insurance products.

The Company
They are a well-established, technology-driven organisation with a strong reputation for using data and analytics to drive business performance. Over recent years they have made significant investment in their pricing, analytics, and data science capabilities, creating an environment where analytical thinking is highly valued.
With ambitious growth plans and a collaborative culture, they offer the opportunity to work alongside experienced analysts, pricing specialists, and data professionals on business-critical projects. Their pricing function plays a central role in commercial strategy and decision-making.

The Role

• Developing pricing analysis and segmentation strategies across a range of products
• Evaluating portfolio performance and identifying opportunities for optimisation
• Delivering actionable insights to support commercial and strategic decisions
• Monitoring pricing performance and recommending improvements
• Leading or contributing to end-to-end analytical projects
• Working closely with stakeholders across pricing, product, underwriting, and analytics teams
• Supporting innovation within pricing and helping enhance analytical capabilities
• Mentoring and guiding junior analysts where appropriate

Your Skills & Experience

• Previous experience in pricing analytics, pricing strategy, or a related analytical function
• Strong commercial problem-solving and analytical skills
• Experience using Python or SQL
• Ability to communicate complex findings to non-technical stakeholders
• Experience managing projects from inception through to delivery
• Strong stakeholder management and relationship-building capabilities
• Curious, proactive, and motivated to drive improvements through data
• Insurance pricing experience is beneficial but not essential

What They Offer

• Annual bonus opportunity of up to 10%
• Matched pension contributions up to 10%
• Healthcare cash plan and additional medical benefits
• 25 days annual leave plus bank holidays
• Hybrid working model
• Ongoing training, development, and clear career progression opportunities
• Exposure to large-scale pricing and analytics projects within a growing function

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Senior Data Engineer / Analytics Engineer
Downtown San Francisco | Hybrid (4 days onsite)

What You’ll Do

Data Engineering & Infrastructure

• Design, build, and maintain data pipelines from ingestion through transformation and delivery
• Own data modeling and transformation across the firm’s core data sources
• Build and maintain a reliable, scalable data infrastructure from the ground up
• Ensure data quality, consistency, and governance across systems

Analytics & Business Partnership

• Serve as the primary technical translator between data systems and non-technical business stakeholders
• Partner with wealth management, finance, operations, and leadership teams to understand data needs and deliver solutions they can actually use
• Build reporting and analytics capabilities that give the business clear visibility into performance and client data
• Communicate complex data concepts in plain language – confidently and clearly

AI & Modern Tooling

• Leverage AI tools to improve productivity and analytical output – familiarity with tools like Glean expected
• Contribute to the firm’s evolving AI initiatives as they develop
• Stay current on relevant AI and data tooling and bring practical recommendations to the team

What We’re Looking For

Required

• Strong proficiency in Python and SQL
• Hands-on experience with data modeling, transformation, and pipeline development
• Ability to work independently as the primary or sole data practitioner – this is not a large team environment
• Confident communicator – comfortable presenting to and advising non-technical stakeholders including senior leadership
• High EQ – personable, collaborative, and able to build trust with people across the organization
• 4 days per week onsite availability in downtown San Francisco

Strongly Preferred

• Background in finance, wealth management, or financial services
• Experience at a private equity-backed company or PE rollup environment
• Familiarity with wealth management workflows, data structures, and reporting needs
• Experience as the sole or primary data person at a company – someone who has had to be resourceful, self-directed, and scrappy
• Exposure to AI tools in a professional context (Glean or similar)

Compensation

• Base salary: $185,000 – $235,000
• Discretionary bonus
• Downtown San Francisco office – hybrid, 4 days onsite per week

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