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Lead Data Engineer

Location: 100% Remote (U.S.)

A growing healthcare technology company is looking for a Lead Data Engineer to take on a hands-on technical leadership role within its data engineering organization. The company builds SaaS analytics and workflow solutions that help public-sector healthcare organizations make better use of complex data to improve operations, oversight, and outcomes.

This is an opportunity for an experienced data engineer who enjoys tackling complex, ambiguous problems while still staying close to the code. You’ll help shape data architecture and engineering practices, mentor other engineers, and build scalable capabilities that make customer data integrations increasingly automated, reliable, and repeatable.

What You’ll Do

• Lead complex data engineering initiatives from technical design through implementation, testing, and delivery.
• Design and build scalable ELT pipelines, data models, transformations, and reusable data-processing capabilities.
• Lead the onboarding and integration of complex, imperfect customer data from diverse sources.
• Build automated data profiling, validation, and quality-monitoring capabilities.
• Help modernize data architecture, tooling, workflows, and engineering practices to improve scalability, observability, performance, and maintainability.
• Evaluate new architectures and technologies, including opportunities to leverage AI-assisted tools and automation within data engineering workflows.
• Provide technical mentorship and help establish engineering standards, best practices, and architectural direction.
• Identify recurring customer data challenges and turn them into reusable backend services, frameworks, and product capabilities.
• Partner with technical and business stakeholders to communicate architectural decisions, tradeoffs, risks, and recommendations.
• Help develop data capability roadmaps and recommend technical investments and priorities.

What We’re Looking For

• 10+ years of relevant engineering experience with significant hands-on data engineering expertise.
• Strong technical leadership experience, including mentoring engineers, guiding architecture, and establishing engineering best practices.
• Experience managing and developing a small engineering team.
• Deep hands-on experience with SQL and Python.
• Strong experience designing and building scalable ELT pipelines, data models, and transformations.
• Experience with modern orchestration/transformation frameworks such as Airflow, Astronomer, Dagster, dbt, or Windmill.
• Experience working across relational, MPP, and file-based data architectures.
• Strong experience integrating complex or imperfect data and mapping it into standardized data models.
• Experience building automated data quality, profiling, validation, and monitoring capabilities.
• Experience designing and evolving scalable, reusable data platforms and leading significant architecture modernization efforts.
• Experience applying AI-assisted technologies to improve data engineering workflows, processing, quality, or developer productivity.
• Experience working with healthcare data.
• Strong communication skills and the ability to translate business requirements into thoughtful technical solutions.
• Must be legally authorized to work in the U.S. without employer sponsorship.

Nice to Have

• Experience developing technical or data capability roadmaps.
• Experience modernizing legacy relational architectures into file-based, distributed, or cloud-native architectures.
• Experience in a SaaS product environment, particularly where data engineering supports both customer implementations and reusable product capabilities.

Why Join?

This is a high-impact opportunity to influence not only the technical direction of a data engineering function, but also how data capabilities evolve into scalable products. You’ll have significant ownership over architecture and engineering practices while remaining hands-on with challenging data problems.

The company offers a comprehensive benefits package including medical, dental and vision coverage, 401(k) with company match, company-paid life and disability insurance, generous PTO, and a vacation travel stipend.

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Graduate Data Analyst

Up to £35,000

Location: London /Office-based)

The Overview

This is an excellent opportunity for a Graduate Data Analyst to join a growing data and technology business at an exciting stage of its journey. You’ll gain hands-on experience across analytics, data engineering, business transformation, and software development, working closely with senior leaders while building expertise in a modern data stack.

The Company

They are a specialist data, analytics, and technology consultancy helping organisations improve operational performance through data-driven decision-making and scalable software solutions. Operating as an independent business with an entrepreneurial culture, they partner with organisations across asset-intensive industries to deliver reporting, automation, and transformation initiatives.

With a strong pipeline of projects and ambitious growth plans, they offer the chance to work across consultancy engagements and product development in a fast-paced, collaborative environment.

The Role

As a Graduate Data Analyst, you will work as part of the technical team, supporting a range of analytics, engineering, and business transformation projects.

Responsibilities include:

• Developing reports and dashboards using SQL and Looker
• Supporting data engineering projects by integrating and transforming data from multiple sources
• Working with tools including DBT, Python, Databricks, and Azure
• Assisting with data modelling and reporting initiatives that support key business decisions
• Collaborating with stakeholders to understand business requirements and deliver data-driven solutions
• Contributing to software and process automation projects
• Supporting business system implementations and operational improvement programmes
• Gaining exposure to data science projects as your skills develop

Your Skills & Experience

• Degree in a STEM-related subject
• Strong analytical and problem-solving skills
• Exposure to SQL, Python, data analysis, or related technical tools through academic or personal projects
• Genuine interest in data, technology, and business transformation
• Ability to communicate effectively with both technical and non-technical stakeholders
• Enthusiastic, proactive, and eager to learn new technologies
• Comfortable working in a collaborative and fast-moving environment

What They Offer

• Salary of £35,000 plus bonus
• Enhanced salary of £37,500 plus bonus for PhD graduates
• Structured training across SQL, Looker, DBT, Databricks, Azure, and modern analytics tools
• Broad exposure to analytics, data engineering, software development, and business transformation
• Direct access to experienced technical and business leaders
• Clear opportunities for progression as the business continues to grow
• Diverse project work across consultancy and product development

How to Apply

If you’re looking to launch your career as a Graduate Data Analyst and want exposure to modern data technologies, business-facing projects, and long-term development opportunities, please apply today.

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Principal AI Architect

Remote out of Toronto, Ontario

CAD $200,000 – $220,000 Base Salary

THE COMPANY

Our client is a high-growth SaaS technology company at the forefront of applying AI to complex, knowledge-intensive workflows. With a strong investment in agentic AI and next-generation automation, they are building scalable, production-ready systems that transform how organizations interact with content, documents, and enterprise knowledge.

This is a rare opportunity for a seasoned AI architect to define the technical foundations of a rapidly evolving AI platform and have a significant impact on the future direction of the business.

RESPONSIBILITIES

• Lead the design and evolution of the company’s agentic AI architecture, establishing standards, patterns, and infrastructure for scalable AI-driven product experiences.
• Build and enhance critical AI infrastructure across evaluation frameworks, testing systems, observability platforms, tracing capabilities, and production agent execution environments.
• Design and implement agent orchestration layers, multi-agent workflows, reasoning engines, memory systems, planning frameworks, and adaptive feedback mechanisms.
• Partner closely with engineering teams to review architecture, identify technical risks, and drive best practices without creating delivery bottlenecks.
• Establish a robust AI quality framework, including evaluation datasets, grading systems, regression testing, release gates, experimentation platforms, and production feedback loops.
• Collaborate with engineering, machine learning, and product leaders to make informed architectural decisions and ensure reliable delivery of advanced AI capabilities.
• Mentor senior engineers through design reviews, architecture discussions, and technical leadership, raising standards across the wider engineering organization.
• Evaluate emerging advancements in agentic AI and apply them to build scalable, measurable, and impactful solutions.

SKILLS AND EXPERIENCE

Required

• 10+ years of software engineering experience with substantial expertise designing and delivering production AI systems at Staff, Principal, or equivalent level.
• Proven experience building and shipping agentic AI products, including multi-agent systems, LLM orchestration, tool-use frameworks, and agent execution environments.
• Deep expertise in AI evaluation methodologies, including quality rubrics, curated datasets, deterministic and model-based grading, regression testing, and continuous feedback systems.
• Strong experience with advanced Retrieval-Augmented Generation (RAG) and agentic search architectures, including query decomposition, multi-hop retrieval, hybrid search, reranking, metadata filtering, source routing, evidence validation, citations, and confidence scoring.
• Strong understanding of large language models, retrieval systems, and modern agent design patterns.
• Expertise in large-scale systems architecture, cloud-based AI infrastructure, model serving, deployment pipelines, monitoring, and observability.
• Strong Python development skills and hands-on experience with agent frameworks such as LangChain, LangGraph, Microsoft Agent Framework, or similar technologies.
• Demonstrated ability to influence and guide engineering organizations of 15-20+ engineers through architecture and technical leadership.

Preferred

• Experience building agent-based systems within SaaS products focused on content, document management, or enterprise knowledge workflows.
• Experience with cloud-native machine learning infrastructure on AWS or comparable cloud platforms.
• Prior experience operating as a Principal Architect, Distinguished Engineer, or Staff-plus technical leader in a fast-growth technology environment.

BENEFITS

• Competitive base salary of CAD $200,000 – $220,000.
• Opportunity to shape the future of a cutting-edge AI platform.
• High-impact individual contributor role with significant technical ownership.
• Collaborative, innovation-focused engineering culture.
• Flexible hybrid working environment.
• Career growth within a rapidly scaling technology organization.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Principal AI Infrastructure Architect | Principal Engineer | AI Architecture | Agentic AI | Multi-Agent Systems | LLMs | RAG | Agent Frameworks | LangChain | LangGraph | Microsoft Agent Framework | AI Infrastructure | AI Evaluation | Observability | Tracing | Model Serving | Python | Distributed Systems | SaaS | Machine Learning Platform | AWS | Enterprise AI | Staff Engineer | Principal Architect | AI Quality Engineering | Knowledge Systems | Retrieval Systems | Orchestration Frameworks

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Senior Data Analyst

London | Hybrid (2 days per week) | Up to £75,000

A global sports, media and technology business is looking for a Senior Data Analyst to join its growing analytics team and help understand how millions of digital users interact with its products and content.

This is a highly analytical, SQL-heavy role focused on customer, audience and digital behaviour. You’ll work with large-scale datasets to understand user journeys, engagement, audience segments and account behaviour, while increasingly moving towards Product Analytics, experimentation and A/B testing.

You’ll work closely with Product, Engineering and Data teams to ensure the right tracking is in place, analyse the impact of new features and turn complex data into clear recommendations that improve the digital product.

We’re looking for:

• Strong, hands-on SQL skills – working with millions of rows of data

• Experience analysing customer, user, audience or digital behaviour

• A background in digital, consumer technology, media, subscription, e-commerce or similar environments

• Strong analytical and problem-solving skills

• Experience with experimentation, event tracking or user journeys

• Excellent stakeholder communication and the ability to work as a generalist

Nice to have:

• BigQuery / GCP or another cloud data warehouse

• GA4

• Looker or other BI tools

• Python

• Product analytics / CDP experience

• An interest in using AI tools such as Claude Code to improve analytical workflows

This is a great opportunity for a strong Customer, Audience or Digital Analyst who wants to move closer to Product Analytics without sacrificing the hands-on SQL and large-scale data work.

£70,000-£75,000 | London | Hybrid – 2 days per week in the office

Find out more and apply via the link below!

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Martech Engineer

London| Hybrid – x2 days a week | Up to £55,000 + bonus

A leading performance marketing and digital solutions agency is looking for a Martech Engineer to join its Media Solutions team and help build the technology that powers smarter, more efficient digital marketing for major B2B and B2C brands.

This is a hands-on engineering role sitting at the intersection of technology, data and digital marketing. You’ll build and maintain proprietary tools, integrations and automation that support teams across SEO, paid search, paid social and content, while working closely with data and analytics specialists.

You’ll be involved in projects such as building API connectors into BigQuery, developing serverless applications, creating AI-enabled marketing tools and dashboards, and troubleshooting client-facing platforms. You’ll also work directly with stakeholders to understand problems, scope solutions and turn ideas into scalable technical products.

We’re looking for someone with:

• 3+ years’ professional experience in software/MarTech engineering

• Strong JavaScript, TypeScript and/or Node.js skills

• Experience developing, maintaining and debugging serverless applications

• GCP experience

• Understanding of at least one digital marketing channel such as SEO, paid search, paid social or content

• Experience working with APIs and data

• Strong communication skills and confidence working with both technical and marketing teams

Nice to have:

• BigQuery or equivalent data warehousing experience

• ETL platforms such as Funnel or Adverity

• Experience pulling and transforming data through APIs

• Hands-on experience integrating AI into tools and workflows, including LangChain or CrewAI

• Agency experience

The role is hybrid, with two days a week in either London or Brighton (London preferred), and offers up to £55,000 plus a company bonus.

This is an opportunity to join a collaborative team where you’ll have genuine ownership of technical projects and help shape the tools and technology used to deliver digital marketing for some major brands.

Find out more and apply via the link below!

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Senior Risk Engineer
London
Up to £200,000 Base + Bonus

This is a rare opportunity to join a technology-driven investment firm where engineering has a direct impact on investment decisions. You’ll build risk intelligence tools used by Portfolio Managers and Risk teams to better understand exposures, performance, and opportunities across portfolios.

The Company
They are a global investment firm with a strong focus on technology, data and quantitative decision-making. Engineers work closely with front-office stakeholders in a collaborative environment that values ownership, innovation and high-quality engineering.

The Role

• Build and enhance cross-asset risk analytics platforms.
• Develop APIs, data pipelines and decision-support tools for investment teams.
• Translate risk and pricing models into scalable production systems.
• Work closely with Portfolio Managers, Risk Managers and Quant Researchers.
• Own systems end-to-end, from design through to production support.
• Contribute to AI-enabled analytics and risk intelligence initiatives.

Your Skills & Experience

• Strong experience in risk technology, software engineering or quant development within financial markets.
• Python or Java and SQL expertise.
• Experience building production-grade risk, pricing or trading systems.
• Knowledge of derivatives, Greeks, VaR, scenario analysis and market risk.
• Experience with APIs, distributed systems and data pipelines.
• Ability to investigate model outputs and communicate findings clearly.

What They Offer

• Competitive salary
• Comprehensive benefits package.
• Direct front-office exposure.
• Strong career progression opportunities.
• Collaborative culture with excellent work-life balance.

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