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Principal AI Engineer

Brooklyn, NY (Hybrid) – 3 Days Onsite

$230,000 – $250,000 Base + Bonus + RSUs (~$350K Total Comp)

THE COMPANY

Harnham is partnering with a global leader in professional software solutions across legal, tax, accounting, and audit. Their products power professionals responsible for some of the world’s most critical business decisions.
This opportunity sits within the Cloud Audit organization, a connected platform for B2B usages. As the organization continues its transformation into an AI-native engineering environment, the team is investing heavily in AI-powered experiences, platform integrations, and intelligent workflow automation.
This role will play a critical part in defining the architecture and AI strategy that connects Cloud Audit Suite with AI-powered audit solutions and other intelligent products, helping shape the future of audit technology at enterprise scale.

RESPONSIBILITIES

• Own architecture and technical design across the Cloud Audit platform.
• Define and drive AI integration strategies across audit and assurance products.
• Lead integration efforts between multiple B2B shared platform services.
• Design scalable AI orchestration frameworks supporting agents, LLM workflows, tool calling, and multi-step reasoning systems.
• Establish standards and best practices for AI-native application development, experimentation, and platform architecture.
• Partner closely with Product, AI Labs, UX, Infrastructure, and Engineering leadership to execute strategic initiatives.
• Architect high-throughput distributed systems handling millions of documents and large-scale audit workloads.
• Drive platform reliability, observability, resiliency, and performance optimization initiatives.
• Design reusable APIs, shared services, and platform components to support multiple products and engineering teams.
• Mentor senior and staff engineers while fostering an AI-forward engineering culture.
• Help define and execute the long-term technical roadmap for Cloud Audit Suite.

SKILLS AND EXPERIENCE

• BS degree in Computer Science, Computer Engineering, or a related technical discipline.
• 8-10+ years of experience in software engineering, architecture, or platform engineering roles.
• Deep expertise with C#, .NET, and ASP.NET Core.
• Strong Python experience supporting AI, machine learning, or intelligent application workflows.
• Experience designing and operating large-scale distributed systems and microservices architectures.
• Strong full-stack development background utilizing technologies such as React, Angular, TypeScript, JavaScript, HTML, and CSS.
• Experience designing and integrating scalable APIs and enterprise platform services.
• Hands-on experience with AWS cloud infrastructure.
• Strong experience with SQL Server, PostgreSQL, or similar database technologies.
• Experience architecting and operating production AI systems utilizing LLMs, agents, retrieval systems, and AI-native application patterns.
• Proven track record of owning enterprise-scale systems from architectural design through long-term production operation.
• Excellent communication and stakeholder management skills.
• Experience leading technical initiatives across multiple products and engineering organizations.

PREFERRED EXPERIENCE

• Experience integrating OpenAI, Anthropic, or other production-grade LLM providers.
• Knowledge of agent architectures, MCP servers, AI orchestration frameworks, and AI platform design.
• Experience with vector databases, embeddings, semantic search, and retrieval architectures.
• Familiarity with actor-model frameworks such as Orleans or Akka.
• Experience designing scalable CI/CD pipelines using GitHub Actions or similar technologies.
• Experience supporting applications in highly regulated industries such as audit, tax, finance, legal, or compliance.
• Knowledge of AI reliability, evaluation, testing, governance, and safety frameworks.
• Experience designing systems that account for non-deterministic AI behavior.
• Customer-facing technical leadership experience.

BENEFITS

The compensation package includes a competitive base salary, annual bonus, equity package with a three-year vesting schedule, and a comprehensive benefits package.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Artificial Intelligence | AI Platform Engineering | Cloud Audit | Machine Learning | LLMs | AI Agents | Agentic AI | C# | .NET | ASP.NET Core | Python | AWS | PostgreSQL | Distributed Systems | Microservices | Enterprise Architecture | API Design | Platform Engineering | AI Orchestration | MCP | Semantic Search | Vector Databases | Audit Technology | SaaS | Technical Leadership | Principal Engineer

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HEAD OF DATA
BERKSHIRE/HYBRID
UP TO £140,000

This is a rare opportunity to step into a senior leadership role where you will shape and scale a data function from strong foundations. With direct exposure to executive leadership and the ability to influence organisation-wide decision making, this role offers significant scope to define strategy, build capability, and drive measurable commercial impact through data.

ROLES AND RESPONSIBILITIES:
The Head of Data will:

• Define and deliver the enterprise Data strategy aligned to commercial objectives and growth ambitions
• Act as a key advisor to senior stakeholders, influencing how data is leveraged as a competitive advantage
• Build, lead, and develop a multi-disciplinary team across analytics, data science, and business intelligence
• Drive the evolution from reporting towards predictive and commercially focused insight
• Establish and scale self-service analytics capabilities across the business
• Lead the application of advanced analytics, machine learning, and AI to key business areas such as pricing and performance optimisation
• Partner closely with technology teams to ensure scalable, reliable data platforms and strong data architecture
• Own and embed data governance frameworks, improving data quality, consistency, and trust across the organisation
• Translate complex analytical outputs into clear, actionable recommendations for senior stakeholders

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

• Strong experience leading data, analytics, or data science functions in a commercial environment
• Proven ability to build and scale high-performing, multidisciplinary teams
• Expertise across data analytics, machine learning, and business intelligence, with a strong technical foundation including SQL and cloud platforms
• Experience delivering data-driven transformation, including self-service analytics and advanced insight capabilities
• Strong commercial acumen, with the ability to translate data strategy into measurable business outcomes
• Confident stakeholder management skills, with experience influencing senior leadership and cross-functional teams
• Experience working within data governance frameworks and regulated environments is advantageous
• Comfortable balancing strategic leadership with hands-on involvement where required

APPLY BELOW!

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Principal Data Architect

Location: Dallas, TX (Hybrid – 4 Days Onsite Weekly)
Compensation: $170,000 Base Salary (flexibility for exceptional candidates) + Comprehensive Benefits
Work Authorization: Candidates must be authorized to work in the U.S. now and in the future. No sponsorship or visa transfers available.

About the Opportunity

Our client, a large enterprise organization undergoing a major data modernization and AI transformation, is seeking a Principal Data Architect to help shape the future of its enterprise data ecosystem.

This is a high-impact, highly visible role offering direct exposure to executive leadership and the opportunity to influence enterprise-wide technology strategy. The successful candidate will be responsible for defining architectural roadmaps, modernizing legacy platforms, enabling AI capabilities, and guiding the organization’s journey from current-state to future-state architecture.

This opportunity is ideal for someone who combines strong architectural leadership with a hands-on data engineering background and thrives in a transformation-focused environment.

Key Responsibilities

• Assess and document current-state data architecture, platforms, and integrations
• Design future-state enterprise data architecture and transformation roadmaps
• Develop architectural standards and reusable patterns for:
  • Real-time data processing
  • Streaming architectures
  • Batch data processing
  • Enterprise and consumer data platforms
• Create and maintain architecture diagrams, data flows, and implementation plans
• Partner with business and technology leaders to align architecture decisions with strategic objectives
• Support enterprise initiatives across fraud, risk, analytics, AI, and other critical business functions
• Define phased implementation strategies, including resource planning and execution sequencing
• Evaluate emerging technologies and recommend solutions based on business use cases
• Provide technical leadership and architectural guidance to engineering teams
• Participate in architecture reviews, proof of concepts, and technical solution validation

Required Qualifications

• 10+ years of experience in Data Engineering, Software Engineering, Data Architecture, or related disciplines
• Experience designing and implementing enterprise-scale data platforms and architectures
• Strong background creating technology roadmaps and leading transformation initiatives
• Ability to connect technical decisions to measurable business outcomes
• Experience operating within large, complex organizations (1,000+ employees preferred)
• Proven ability to work independently and drive initiatives with minimal oversight

Technical Requirements

Required Experience

• AWS Cloud
• Kafka (Confluent or Open-Source Kafka)
• Event-driven and streaming architectures
• Real-time data processing
• Batch processing frameworks
• Enterprise integration patterns
• Data architecture and platform modernization

Preferred Experience

• Snowflake
• Fivetran
• dbt
• AI/GenAI architecture and implementation

AI & Innovation Focus

As part of the organization’s technology strategy, AI will play a significant role in future-state architecture.

The ideal candidate will have exposure to:

• Retrieval-Augmented Generation (RAG)
• Large Language Model (LLM) concepts
• AI platform architecture
• Token management and optimization strategies
• AI tooling evaluation and implementation
• Use-case driven AI adoption

We’re looking for someone who is naturally curious, stays current on emerging technologies, and can articulate how modern AI capabilities create business value.

Preferred Industry Experience

Experience within one or more of the following industries is highly desirable:

• Financial Services
• Banking
• Healthcare
• Travel
• Hospitality

Why This Role?

• Direct visibility with senior and executive leadership
• Opportunity to influence enterprise technology strategy
• Lead large-scale modernization and transformation initiatives
• Help shape the organization’s AI roadmap
• Work with modern cloud, streaming, and data technologies
• Drive meaningful business outcomes and measurable change

This is an opportunity to build something transformational-not simply maintain existing systems.

Interview Process

1. Initial Interview (45 minutes)
2. Onsite Team Panel Interview
3. Final Executive Interview

If you’re interested in learning more about this confidential opportunity, please apply directly or contact me for a private discussion.

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Data Engineer – Fivetran Expert

Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.

Overview

We are seeking a highly skilled Data Engineer with deep expertise in Fivetran to join our growing data and analytics team. This individual will play a key role in designing, implementing, and optimizing scalable data integration solutions that power business intelligence, analytics, and data-driven decision-making across the organization.

The ideal candidate will have extensive experience leveraging Fivetran to build and manage automated ELT pipelines, integrate data from multiple source systems, and support enterprise-scale cloud data platforms. Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.

Responsibilities

• Design, develop, and maintain scalable data integration pipelines using Fivetran and modern cloud-based data technologies.
• Configure, manage, and optimize Fivetran connectors for a wide variety of source systems, including SaaS platforms, databases, APIs, and enterprise applications.
• Monitor pipeline health, troubleshoot synchronization issues, and ensure reliable data delivery across the organization.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Develop and maintain enterprise data warehouse solutions within Snowflake and other cloud data platforms.
• Implement data quality, governance, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
• Optimize data ingestion performance, pipeline efficiency, and overall platform cost management.
• Create and maintain technical documentation for data integrations, architecture, workflows, and best practices.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting, analytics, and machine learning initiatives.
• Troubleshoot and resolve data issues, connector failures, schema changes, and performance bottlenecks.
• Participate in architecture discussions and contribute to the organization’s overall data strategy and modernization efforts.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Integration, Data Warehousing, or related roles.
• Expert-level experience with Fivetran, including connector configuration, deployment, monitoring, optimization, and troubleshooting.
• Strong experience with Snowflake or similar cloud data warehouse platforms.
• Advanced SQL development and query optimization skills.
• Hands-on experience designing and managing scalable ELT pipelines and modern data architectures.
• Experience integrating data from multiple source systems, including SaaS applications, relational databases, APIs, and cloud platforms.
• Strong understanding of data modeling principles, data warehousing concepts, and analytics-ready data structures.
• Experience implementing data validation, monitoring, and governance frameworks.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with transformation frameworks such as dbt.
• Experience with orchestration and workflow tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines, DataOps practices, and modern data stack architectures.
• Experience working in Agile development environments.

Key Skills

• Fivetran
• Data Integration & Automation
• ELT Pipeline Development
• Snowflake
• SQL
• Cloud Data Warehousing
• Data Modeling
• SaaS & API Integrations
• AWS, Azure, and GCP
• Data Quality & Governance
• Performance Optimization
• Business Intelligence & Analytics

Additional Information

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate

A hands-on Data Engineer with deep Fivetran expertise who thrives in a collaborative environment and enjoys building scalable, reliable, and automated data integration solutions. This professional excels at connecting disparate data sources, ensuring high-quality data delivery, and enabling analytics teams with trusted data. Experience supporting Snowflake environments and modern data stack technologies is highly desirable, while financial services experience is a strong plus.

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Data Engineer – dbt & Snowflake Expert

Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.

Overview

We are seeking a highly skilled Data Engineer with deep expertise in dbt (Data Build Tool) and Snowflake to join our growing data and analytics team. This individual will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data solutions that enable business intelligence, analytics, and data-driven decision-making across the organization.

Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-based technologies.
• Build, optimize, and manage data models in dbt, following best practices for testing, documentation, and maintainability.
• Develop and maintain enterprise data warehouse solutions within Snowflake.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Optimize Snowflake performance, scalability, and cost efficiency.
• Implement data quality, governance, and monitoring frameworks to ensure accuracy and reliability.
• Create and maintain technical documentation for data architecture, models, and workflows.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting and advanced analytics initiatives.
• Troubleshoot and resolve data issues, pipeline failures, and performance bottlenecks.
• Participate in architecture discussions and contribute to the overall data strategy.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
• Expert-level experience with dbt and Snowflake.
• Strong SQL development and query optimization skills.
• Experience designing and building scalable ETL/ELT pipelines.
• Hands-on experience with cloud-based data platforms and modern data stack technologies.
• Strong understanding of data modeling principles, including dimensional and star schema design.
• Experience implementing data validation, testing, and monitoring frameworks.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines and DataOps best practices.
• Experience working in Agile development environments.

Key Skills

• Snowflake
• dbt (Data Build Tool)
• SQL
• Data Warehousing
• ETL/ELT Development
• Data Modeling
• Cloud Platforms (AWS, Azure, GCP)
• Data Governance & Quality
• Performance Optimization
• Business Intelligence & Analytics

Additional Information

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate: A hands-on Data Engineer with deep dbt and Snowflake expertise who thrives in a collaborative environment and enjoys building scalable, high-quality data solutions that drive business value. Financial services experience is a strong plus but not required.

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Senior Data Scientist

London – 2x a week

The Role

As a Senior Data Scientist, you will:

• Develop and enhance credit risk and decisioning models using customer, credit bureau, transactional, and internal datasets.
• Analyse portfolio performance across originations, arrears, defaults, recoveries, and customer behaviour.
• Identify opportunities to improve underwriting strategies and customer decisioning.
• Produce actionable insights from large, complex, and sometimes incomplete datasets.
• Build monitoring frameworks and reporting to track model and portfolio performance.
• Support the deployment and optimisation of analytical solutions within production environments.
• Investigate data quality issues and drive improvements across reporting and decisioning processes.
• Work closely with risk, product, engineering, and commercial stakeholders to deliver data-driven solutions.
• Contribute to model governance, validation, and documentation activities.

Skills & Experience

• Strong Python experience across analytics, modelling, and data processing.
• Hands-on experience working within AWS environments, including services such as Lambda, EC2, SageMaker, RDS, and CloudWatch.
• Proven track record developing and validating predictive models, including logistic regression and machine learning techniques.
• Strong understanding of consumer credit risk, affordability assessment, and lending decisioning.
• Excellent analytical and problem-solving skills with a rigorous attention to detail.
• Experience translating complex analysis into clear recommendations for business stakeholders.
• A proactive, ownership-driven mindset and ability to thrive in a fast-paced environment.

What They Offer

• Competitive salary
• Be part of a fast-growing, data-led business.
• Work on high-impact projects with direct business visibility.
• Influence lending decisions and strategic direction.
• Collaborate with experienced professionals across risk, product, and technology.
• Enjoy significant autonomy and ownership in a highly collaborative environment.

How to Apply

Please get in touch to learn more about this role.

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Data Engineer (dbt & Snowflake Expert)

Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.

Overview

We are seeking a highly skilled Data Engineer with deep expertise in dbt (Data Build Tool) and Snowflake to join our growing data and analytics team. This individual will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data solutions that enable business intelligence, analytics, and data-driven decision-making across the organization.

Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-based technologies.
• Build, optimize, and manage data models in dbt, following best practices for testing, documentation, and maintainability.
• Develop and maintain enterprise data warehouse solutions within Snowflake.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Optimize Snowflake performance, scalability, and cost efficiency.
• Implement data quality, governance, and monitoring frameworks to ensure accuracy and reliability.
• Create and maintain technical documentation for data architecture, models, and workflows.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting and advanced analytics initiatives.
• Troubleshoot and resolve data issues, pipeline failures, and performance bottlenecks.
• Participate in architecture discussions and contribute to the overall data strategy.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
• Expert-level experience with dbt and Snowflake.
• Strong SQL development and query optimization skills.
• Experience designing and building scalable ETL/ELT pipelines.
• Hands-on experience with cloud-based data platforms and modern data stack technologies.
• Strong understanding of data modeling principles, including dimensional and star schema design.
• Experience implementing data validation, testing, and monitoring frameworks.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines and DataOps best practices.
• Experience working in Agile development environments.

Key Skills

• Snowflake
• dbt (Data Build Tool)
• SQL
• Data Warehousing
• ETL/ELT Development
• Data Modeling
• Cloud Platforms (AWS, Azure, GCP)
• Data Governance & Quality
• Performance Optimization
• Business Intelligence & Analytics

Additional Information

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate: A hands-on Data Engineer with deep dbt and Snowflake expertise who thrives in a collaborative environment and enjoys building scalable, high-quality data solutions that drive business value. Financial services experience is a strong plus but not required.

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You’ll use AI tools as force multipliers while maintaining high standards for correctness, maintainability, performance, and testing.

What You’ll Do

• Own technical quality across design reviews, code reviews, testing, and production readiness
• Collaborate with product, design, and engineering to shape solutions and tradeoffs
• Architect frontend-first, full-stack systems that are modular, scalable, and resilient
• Improve performance, reliability, and maintainability across the stack
• Champion functional programming and immutability for simpler, more predictable systems
• Leverage AI-assisted development (prototyping → refinement → production hardening)
• Build and enforce robust testing strategies (unit, integration, UI, end-to-end)

What You Bring

• 6+ years building production web applications
• Expert in TypeScript + React, with strong experience in Next.js (SSR) or similar frameworks
• Strong full-stack fundamentals and experience designing scalable systems
• Ability to clearly communicate technical tradeoffs to both technical and non-technical stakeholders
• Track record of building simple, reusable, and adaptable systems
• Deep understanding of testing strategies and CI-driven development
• Proven mentorship and leadership through code reviews and technical guidance

AI/LLM-Assisted Engineering

• Hands-on experience with AI-powered dev tools (e.g., Cursor or similar)
• Strong judgment on when to rely on AI-and when not to
• Ability to explore multiple approaches quickly and converge on high-quality, production-ready solutions (not “AI-generated” code)

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Senior Data Engineer

Location: Richardson, TX
Work Model: Hybrid (4 days onsite)
Compensation: $140,000-$160,000 base + bonus

Work Authorization: Must be authorized to work in the U.S. without sponsorship (now or in the future)

About the Company

This established financial services organization is investing heavily in the next generation of its enterprise data platform. The team is building a modern cloud-native analytics ecosystem designed to support scalable data products, advanced analytics, and AI initiatives across the business.

This is an opportunity to join a well-funded modernization effort where you’ll help define engineering standards, influence architecture, and build production-grade data solutions using today’s leading cloud technologies.

The engineering culture emphasizes technical excellence, ownership, automation, and collaboration, giving engineers the opportunity to make a lasting impact while working on highly visible initiatives.

About the Role

This is not a traditional ETL maintenance role.

As a Senior Data Engineer, you’ll help build a modern analytics platform from the ground up, designing scalable ingestion pipelines, transformation frameworks, and cloud-native data architectures that enable analytics, reporting, and AI across the enterprise.

You’ll work alongside platform engineers, architects, analytics teams, and business stakeholders to build production-ready data solutions while helping establish engineering best practices for the broader organization.

Whether your strength is data ingestion with Fivetran or analytics engineering with dbt and Snowflake, you’ll have the opportunity to own critical components of a rapidly evolving data platform.

Key Responsibilities

• Design and build scalable ELT pipelines using modern cloud technologies
• Develop and maintain production-ready data transformation frameworks with dbt
• Design Snowflake data models that support analytics, reporting, and downstream applications
• Build and optimize data ingestion pipelines using Fivetran and cloud-native integration patterns
• Develop reusable, well-tested Python and SQL solutions for large-scale data processing
• Implement CI/CD practices and Infrastructure as Code to improve deployment reliability
• Establish data quality, observability, governance, and operational monitoring standards
• Partner with architects, platform engineers, analytics teams, and business stakeholders to deliver enterprise-scale data solutions
• Evaluate emerging technologies and contribute to the long-term evolution of the data platform
• Mentor engineers and promote engineering best practices across the team

Must Haves

• 7+ years of Data Engineering experience building production-grade data platforms
• Strong Python and advanced SQL skills
• Hands-on experience with dbt (required)
• Production experience with Snowflake
• Experience designing scalable ELT/ETL pipelines
• Modern cloud experience (AWS preferred)
• Experience building and supporting enterprise data warehouses
• Strong understanding of CI/CD, version control, and software engineering best practices
• Ability to lead technical discussions and influence architectural decisions
• Excellent communication skills with a collaborative, ownership-driven mindset

Nice to Have

• Fivetran
• Terraform or Infrastructure as Code
• PySpark
• Kafka or streaming data platforms
• Financial services experience
• Data platform modernization or cloud migration experience
• Experience building analytics-ready data products

Why Join

• Help build a next-generation enterprise analytics ecosystem from the ground up
• Work on a greenfield-style modernization initiative using modern cloud technologies
• Join a collaborative engineering organization where technical leadership is valued
• Influence architecture, engineering standards, and the future direction of the data platform
• Work with technologies including Snowflake, dbt, Fivetran, Python, AWS, and Terraform
• Competitive compensation of $150,000-$160,000 base + bonus
• Hybrid schedule (4 days onsite) with long-term career growth in a stable enterprise environment

To Apply for this Job Click Here

To Apply for this Job Click Here

We’re looking for a deeply experienced front-end engineer with full-stack fluency who brings strong judgment and a thoughtful critical perspective. This role is not about producing baseline code quickly. Modern AI tools can do that. It’s about collaboration, setting direction, making sound decisions, and driving technical quality. You will leverage AI agents as force multipliers while maintaining a high bar for correctness, maintainability, testability, and operational excellence. Success here depends on engineering judgment-choosing the right solution, not just producing code.

Key Responsibilities:

· Take Ownership: You’ll be accountable for upholding a high bar for quality through design reviews, code reviews, test strategy, and production readiness.

· Collaborate cross-functionally: Partner with product, design, and fellow engineers to shape solutions, clarify tradeoffs, and deliver reliably.

· Architect for change: Design and build full-stack, frontend-leaning systems that are intentionally small, composable, and resilient to evolving product requirements.

· Improve Performance & Quality: Enforce architectural and operational quality, catching subtle issues that are easy to miss in fast-moving, AI-assisted development.

· Champion Functional Patterns: Champion functional programming principles and immutability to reduce side effects and make systems simpler to reason through and debug.

· Lead AI-assisted Development: You’ll use AI assistants/agents for prototyping, scaffolding, refactoring, and exploratory development, then harden the result and rigorously validate through tests, reasoning, and edge-case review.

· Raise quality through testing: Build and maintain a strong automated test suite of unit, integration/contract, component/UI, and end-to-end coverage, with fast feedback loops in CI.

About You:

· Bachelor’s degree in computer science or engineering, or a related field.

· 10+ years of experience building production web applications and 2+ years as a Principal Engineer.

· Expert-level proficiency with TypeScript, strong experience with React, server-side rendered Next.js (or similar), and performant component-driven development (e.g. Reshaped UI).

· Deep understanding and experience with of the orchestration and composition of calls across multiple services

· Ability to articulate complex technical trade-offs to stakeholders and translate product vision into high-fidelity technical direction.

· Demonstrated development of simple, reusable, changeable systems (with examples of refactors, platforming work, or scalable patterns).

· Preference for functional programming and a deep understanding of why immutability is critical in modern software development.

· Advanced knowledge of the testing pyramid and how to use automated tests as a safety net for rapid, iterative development.

· Proven technical leadership through mentorship, delegation, and high-quality code reviews.

AI-Assisted Engineering Expectations:

· Hands-on experience with tools like Cursor (or equivalent AI-augmented IDEs) and all modern coding models.

· Practical understanding of where AI is strong vs. where it falls short, paired with sound discernment in its application.

· Ability to use AI agents to quickly project multiple approaches, compare tradeoffs, and converge on the best solution without shipping “AI-shaped” code.

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To Apply for this Job Click Here

The Company

A well-established UK financial services organisation undergoing a major data transformation, with significant investment in data engineering, governance, and a modern data platform (Microsoft Fabric).
With strong foundations now in place, the focus is on building a central analytics capability to drive insight-led decision making across the business.

The Opportunity

This is a greenfield leadership role reporting into the Director of Delivery & Data, with a vision to create an AI-first, insight-driven organisation.
You’ll establish and lead an Analytics Centre of Excellence, partnering across key business areas such as performance, risk, and finance.
This is a player-coach role, leading a small team (3-4 analysts/data scientists) while remaining close enough to delivery to ensure analytics drives real business value.

Key Responsibilities

Build & Lead Analytics Capability

• Establish the central Analytics CoE
• Define standards, processes, and priorities
• Manage and develop a high-performing team

Drive Commercial Value Through Insight

• Deliver actionable analytics that influences decision-making
• Translate business problems into analytical solutions
• Identify opportunities to improve performance and efficiency

Partner with Senior Stakeholders

• Work closely with C-Suite and senior leaders
• Challenge and shape business questions
• Embed analytics into decision-making

Own the Analytics Layer

• Lead development of semantic models and datasets (Gold layer)
• Collaborate with Data Engineering teams
• Drive self-service analytics adoption

Support Advanced Analytics

• Contribute to AI and advanced analytics initiatives
• Help drive a shift toward predictive, data-driven decisions

What We’re Looking For

Experience

• Experience leading analytics, insight, or BI teams
• Background in data transformation or capability building
• Track record of delivering commercial impact through analytics
• Strong experience working with senior stakeholders / Exec level

Technical & Analytical Skills

• Strong grounding in:
  • SQL and data analysis
  • Data visualisation tools (Power BI or similar)
• Understanding of:
  • data / semantic modelling concepts
  • working with data engineering teams
• Exposure to advanced analytics or AI is beneficial

Leadership & Approach

• Comfortable in a player-coach role
• Strong communicator, able to translate data into business value
• Commercially focused and outcome-driven
• Curious, proactive, and confident challenging stakeholders

Logistics

• Able to be onsite in Nottingham 2 days per week (Tuesdays & Wednesdays)

Why Join?

• Genuine greenfield opportunity to build a function
• Modern data platform already in place
• High visibility with senior leadership
• Opportunity to influence how analytics is embedded across the business
• Strong benefits package (bonus, pension, holiday)

Apply Now

If you’re looking to build an analytics function, influence senior stakeholders, and deliver real business impact, this is a standout opportunity within a forward-thinking organisation.

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Mobile Product Manager

London (Hybrid – 2-3 days per week in office)

From £70-80k

The Opportunity

We’re partnering with an innovative WealthTech business seeking a Mobile Product Manager to own and evolve its flagship mobile experience across iOS and Android.

This is a high-impact role where you’ll shape a product used daily by customers, working closely with engineering and design teams to deliver seamless user experiences. You’ll combine product strategy, customer insight, and data-driven decision-making to drive engagement, growth, and satisfaction.

Key Responsibilities

• Own the roadmap and backlog for a customer-facing mobile app
• Lead the delivery of new features across iOS and Android platforms
• Continuously improve the user experience through research, testing, and iteration
• Use product data and analytics to guide prioritisation and measure success
• Partner closely with engineering and design to deliver high-quality releases
• Optimise product development processes and ways of working
• Leverage emerging technologies and AI tools to improve product delivery
• Drive customer-centric product decisions that improve engagement and retention

What We’re Looking For

• 2-4 years’ experience in mobile product management
• Experience working on high-quality consumer-facing mobile applications
• Proven experience launching and improving native iOS and Android products
• Strong understanding of product analytics and data-driven decision making
• Passion for creating exceptional user experiences
• Excellent stakeholder management and communication skills
• Curious mindset with an interest in AI and emerging technologies
• Ability to work in a fast-paced, collaborative environment

Ways of Working

• Hybrid working model
• Dedicated mobile product squad
• High level of ownership and autonomy
• Collaborative, fast-moving culture
• Focus on innovation, customer experience, and continuous improvement

Benefits

• Competitive salary and benefits package
• Private medical insurance
• Gym membership and wellbeing support
• 25 days annual leave plus bank holidays
• Enhanced family-friendly policies
• Electric vehicle scheme
• Professional qualification support
• Opportunity to work with cutting-edge AI technologies

How to Apply

If you’re passionate about building exceptional mobile experiences and want to make a real impact in a growing technology business, we’d love to hear from you.

Apply with your CV or get in touch with me!

To Apply for this Job Click Here