data & AI
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Lead Data Engineer

Location: 100% Remote (must be available online 10:00 AM-4:00 PM CT)

About the Role

This role sits within the Data Engineering team, supporting customer-facing analytics and data solutions for an organization focused on the health and human services industry. It combines hands-on data engineering with technical leadership, architecture, data modelling, and mentorship for someone who wants to help shape the platform’s technical direction, not just implement requirements handed down from others.

The Lead Data Engineer will take ownership of complex and ambiguous problems, evaluate trade-offs, and drive technical decisions end-to-end. This is a Lead/Principal-level individual contributor role, positioned above the existing technical lead, with a path toward people management as the function grows.

What You’ll Do

• Act as a technical leader within Data Engineering, guiding architecture, code quality, and complex problem-solving
• Design, build, and maintain scalable, reliable ELT pipelines
• Own data modelling, transformations, and onboarding of new customer data sources
• Partner with Implementation, Customer Success, Product Engineering, and Analytics to troubleshoot customer-facing data issues
• Improve existing systems through automation, scalability, and reliability
• Lead complex initiatives from architecture through implementation and deployment
• Establish engineering standards around productivity, observability, and consistency
• Mentor and coach other engineers

What We’re Looking For

Required:

• 7-10+ years of overall experience, with 5+ years in Data Engineering
• Very strong SQL
• Strong Python for data engineering/ELT
• Strong data modelling and architecture experience
• Large-scale data ingestion and transformation
• Experience with Airflow or similar orchestration frameworks
• Linux experience

Preferred:

• dbt
• Airflow/Astronomer, Dagster, or similar
• PostgreSQL
• MPP database architectures
• Healthcare data experience
• Experience across multiple database technologies

Strong candidates will be able to point to measurable impact for example, improving pipeline reliability, reducing data latency, resolving customer-facing data issues, or leading a successful architecture migration.

Working Style:

As a senior technical leader, this person should be comfortable evaluating trade-offs, making technical recommendations rather than simply executing decisions from others, and operating with a genuine point of view “here are the options, here are the trade-offs, and here’s what I recommend.”

Tech Stack:

SQL, Python, Airflow, dbt, PostgreSQL

Compensation

Base Salary: $175k+

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Lead Data Engineer

Compensation: $175,000-$200,000 base salary, based on experience, location, and fit.

Work authorization: Must be authorized to work in the U.S.; no visa sponsorship or transfers available.

The Role

You’ll lead a team of data engineers while helping build and operate the data platform behind healthcare analytics products and internal reporting. This role combines people leadership with hands-on engineering across scalable ELT pipelines, data modeling, reliability, observability, and governance. You’ll partner with product, analytics, engineering, and healthcare stakeholders to turn complex operational and healthcare data into trusted, analytics-ready datasets.

Responsibilities

– Lead, mentor, and set technical standards for a data engineering team.

– Build and maintain ELT pipelines using Python, SQL, dbt, and Airflow; Dagster or Astronomer experience is also relevant.

– Develop reliable ingestion and transformation workflows for healthcare and transactional data.

– Design and optimize data models, curated tables, and reusable dbt models.

– Work extensively with PostgreSQL and contribute to data architecture decisions.

– Improve data quality, lineage, monitoring, alerting, documentation, and incident response.

– Optimize pipeline performance, scalability, reliability, and cost.

– Establish standards for testing, deployment, security, version control, and data governance.

– Contribute directly to development and long-term platform strategy.

Required Qualifications

– 5+ years of experience in data engineering, analytics engineering, software engineering, or a related field.

– 1+ year leading, mentoring, or serving as a technical lead for data engineers.

– Strong production Python and advanced SQL skills.

– Hands-on dbt experience, including models, tests, documentation, and deployments.

– Experience with Airflow; Dagster and/or Astronomer are also considered.

– Strong PostgreSQL experience, including schema design and query tuning.

– Experience designing and operating ELT pipelines.

– Experience working with transactional data, such as claims, billing, enrollment, payments, or application events.

– Healthcare-data experience and familiarity with its privacy, quality, and governance requirements.

– Working knowledge of MPP database concepts, including distributed query processing, partitioning, and performance at scale.

Nice to Have

– Experience with Snowflake, Redshift, BigQuery, Databricks, or Azure Synapse.

– Healthcare domain exposure: claims, clinical, provider, member, payer, pharmacy, eligibility, or revenue-cycle data.

– Experience with HIPAA-regulated or other sensitive data.

– Familiarity with observability, lineage, cataloging, governance, or data-quality tools.

– Exposure to CI/CD, infrastructure as code, containers, or cloud-native data platforms.

– Experience building self-service data products in a SaaS, analytics, healthcare-tech, or growth-stage environment.

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Senior Applied AI Engineer

Hybrid in Greater Boston

$240,000 – $260,000 base + equity

THE COMPANY

Our client is a high-growth AI and technology company focused on helping investors and business leaders unlock value through artificial intelligence. Operating at the intersection of AI, business transformation, and advanced analytics, the organization has developed a proprietary platform that creates a digital representation of how businesses operate, enabling data-driven decision-making and AI-powered operational improvements.

Backed by deep expertise from leading consulting, technology, and quantitative organizations, the company is building a world-class team dedicated to redefining how businesses are analyzed, transformed, and improved through AI.

RESPONSIBILITIES

• Define requirements, develop prototypes, and partner with engineers, analysts, researchers, and business stakeholders to deliver AI-powered product enhancements.
• Identify product gaps and workflow inefficiencies through close collaboration with internal users and subject matter experts.
• Design and build LLM-powered solutions that accelerate product development and improve operational outcomes.
• Develop evaluation frameworks and quality measurement capabilities for AI-driven features.
• Partner with software engineering teams to productionize new capabilities and drive adoption across user workflows.
• Lead technical design reviews, share best practices, and mentor engineers and analysts.
• Stay at the forefront of emerging AI models, agent frameworks, and development tooling.

SKILLS AND EXPERIENCE

Required

• 6-10 years of experience building data products, software platforms, or AI-driven solutions.
• Degree in a quantitative discipline preferred.
• Hands-on experience with LLMs, including prompt engineering, context management, agent development, and tool selection.
• Proven ability to define evaluation methodologies and quality standards for AI systems.
• Strong Python and SQL expertise.
• Experience translating ambiguous business requirements into scalable technical solutions.
• Strong commercial acumen and the ability to connect technical outputs to measurable business outcomes.
• Excellent communication skills with experience working across technical and non-technical audiences.
• Automation-first mindset with a track record of building reusable tools and workflows.
• Demonstrated success delivering outcomes in fast-paced, ambiguous environments.

Preferred

• Experience deploying AI and LLM solutions into production environments using cloud platforms such as GCP or equivalent.
• Familiarity with observability, tracing, and evaluation tooling for AI applications.
• Experience with agent-based development workflows and modern AI engineering toolchains.
• Experience with LangChain, LangGraph, or similar orchestration frameworks.
• Knowledge of LLM evaluation approaches, including LLM-as-judge methodologies.
• Financial literacy and the ability to understand operational and commercial performance metrics.
• Experience in solutions engineering, consulting, private equity, or other client-facing environments.
• Track record of building bespoke solutions and successfully scaling them into broader product offerings.

BENEFITS

• Competitive cash compensation of $240,000-$260,000.
• Flexible working arrangements, including fully remote opportunities.
• Opportunity to work on cutting-edge AI challenges with significant business impact.
• Exposure to senior business leaders, investors, and transformative AI initiatives.
• High-growth environment with substantial career development opportunities.

HOW TO APPLY

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

KEY TERMS

Senior Applied AI Engineer | Artificial Intelligence | LLMs | Machine Learning | Generative AI | Agentic AI | Python | SQL | LangChain | LangGraph | GCP | AI Evaluation | AI Product Development | Automation | Business Transformation | Data Platforms | Applied AI | Consulting | Private Equity | Remote | Hybrid Jobs

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LEAD BI ANALYST

LONDON/HYBRID

UP TO £56,000

This is an opportunity to take ownership of a growing BI function within a highly respected, global organisation. You will play a pivotal role in shaping how data is structured, governed, and consumed, with the scope to influence long term strategy while delivering tangible improvements to reporting, scalability, and performance.

ROLES AND RESPONSIBILITIES:
The Lead BI Analyst will:

• Lead end to end Tableau development across dashboards, data sources, and data preparation
• Define and implement best practice for BI design, data modelling, and performance
• Own BI standards, governance frameworks, and data quality processes
• Support and enabling business users to build and scale their own reporting capabilities
• Write and optimise complex SQL across Oracle and cloud based environments
• Act as the escalation point for complex BI and data challenges
• Partner with data engineering teams on architecture and platform decisions
• Contribute to major transformation initiatives including a cloud migration programme and AI driven analytics proof of concepts

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

• Strong commercial experience with Tableau across the full development lifecycle
• Proven ability to build both dashboards and robust, scalable data sources
• Advanced SQL skills, including complex query development and data transformation
• Experience improving or maturing BI environments, including governance and performance optimisation
• Confidence explaining technical concepts clearly to non technical stakeholders
• Experience working with cloud platforms such as GCP or similar is beneficial
• Exposure to data migration or modernisation projects is advantageous

APPLY BELOW!

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DATA MODELLER
LONDON/HYBRID
UP TO £65,000

This is an opportunity to shape data modelling and architecture capability within a modern cloud data environment. The role offers strong visibility across multiple projects, with a clear pathway into data architecture and the chance to influence standards and best practice across the organisation.

ROLES AND RESPONSIBILITIES:
The Data Modeller will:

• Design and develop conceptual, logical and physical data models for enterprise data platforms
• Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases
• Collaborate with data engineers, analysts and governance teams to ensure consistent data standards
• Support multiple projects and ensuring modelling best practices are embedded across delivery
• Contribute to the evolution of data architecture and helping define long term strategy
• Work within a modern cloud environment using tools such as Microsoft Fabric and Databricks

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in data modelling across analytics or data platform environments
• Solid understanding of dimensional modelling techniques including Kimball or Data Vault
• Experience working in modern cloud data platforms, ideally within the Microsoft ecosystem or Azure
• Exposure to tools such as Sparx Enterprise Architect or similar modelling tools
• Familiarity with technologies such as DBT, PySpark or Python is beneficial
• Interest in progressing into a data architecture focused role
• Ability to engage with both technical and non technical stakeholders

APPLY BELOW!

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Director of Engineering
Cambridge, MA (Hybrid) | $250,000 to $270,000 + 20% Bonus + Equity

Join a venture-backed technology company using AI, machine learning, and large-scale real-world data to build innovative products in a highly regulated industry. This is a hands-on leadership role where you’ll help scale a growing engineering function while remaining close to the technology.

The Company

They are an early-stage biotech business developing data-driven products that turn complex datasets into actionable insights. With strong funding and ambitious growth plans, they are investing in both their platform and engineering team as they scale.

The Role

• Lead, mentor, and grow a team of software engineers
• Own engineering delivery, processes, and technical standards
• Contribute directly to architecture and production code
• Build scalable applications and cloud-based systems
• Improve CI/CD, testing, observability, and platform reliability
• Partner with Product and leadership to drive execution
• Support hiring and future team growth

Your Skills & Experience

• Strong engineering leadership experience in startup or high-growth environments
• Hands-on expertise with Python, React, and AWS or GCP
• Experience building scalable backend systems and applications
• Strong knowledge of CI/CD and modern software delivery practices
• Exposure to AI, healthcare, data platforms, or regulated environments is beneficial

What They Offer

• $240,000 to $270,000 base salary
• 20% annual bonus
• Equity package
• Significant ownership and influence on engineering strategy
• Opportunity to help build and scale the organisation

How to Apply

If you’re a hands-on engineering leader who enjoys building teams, scaling technology, and driving delivery, we’d love to hear from you.

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CRO Analyst

Lancashire (Hybrid, 3 days in office)

Up to £40,000 + Bonus + Benefits

If you’re passionate about conversion rate optimisation, digital customer experience, and using data to shape commercial decisions, this is an excellent opportunity to join a well-established eCommerce business. You’ll play a key role in driving online performance, influencing website improvements, and helping deliver a best-in-class customer journey through testing, insight, and experimentation.

The Company

This organisation is a recognised UK retail brand with a strong digital presence and a continued focus on enhancing the online customer experience. They invest heavily in their eCommerce capabilities and place data-driven decision making at the heart of their digital strategy. You’ll join a collaborative team where experimentation, innovation, and continuous improvement are actively encouraged. The business offers an inclusive culture, strong leadership, and clear opportunities for career development.

The Role

As a CRO Analyst, you will support and deliver conversion rate optimisation initiatives across key digital platforms.

Responsibilities include:

• Analysing customer behaviour to identify opportunities to improve conversion and user experience
• Using tools such as heatmaps, session recordings, funnel analysis, and user research to generate actionable insights
• Designing, coordinating, and evaluating A/B tests and other experimentation programmes
• Prioritising optimisation opportunities based on commercial impact and customer insight
• Working closely with Trading, Product, Design, and Digital teams to implement improvements
• Monitoring performance, measuring ROI, and reporting on testing outcomes
• Conducting competitor analysis and market research to support optimisation strategies
• Contributing to the ongoing development of a mature test-and-learn culture

Your Skills & Experience

• Strong commercial experience within CRO, eCommerce analytics, or digital optimisation
• Hands-on experience with CRO platforms such as Contentsquare, AB Tasty, or similar tools
• Understanding of customer journey analysis, UX principles, and online user behaviour
• Comfortable interpreting data and translating findings into business recommendations
• Experience presenting insights and test results to stakeholders
• Excellent attention to detail and strong organisational skills
• Ability to manage multiple priorities in a fast-moving digital environment

Desirable:

• Experience with Google Analytics, Excel, or other web analytics tools
• Understanding of SEO principles
• Familiarity with project management tools such as Monday.com

What They Offer

• Salary up to £40,000
• Performance-related bonus
• Hybrid working model
• Generous annual leave allowance
• Pension and life assurance
• Employee wellbeing support
• Staff discounts and additional lifestyle benefits
• Ongoing learning and development opportunities
• Clear progression within a growing digital function

How to Apply

If you’re looking to develop your career as a CRO Analyst within a data-driven eCommerce environment, apply today to find out more

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