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Senior Data Platform Eng

Location: Remote (Must be US based)

Pay: $175k – $200k Base + equity

No Sponsorship Offered

Overview:

This fast‑growing health‑tech company is building a connected data ecosystem that supports better outcomes across complex care environments. Data sits at the core of the product, enabling real‑time visibility, longitudinal insights, and smarter clinical and operational decision‑making. The team is investing heavily in its data platform to scale alongside rapid customer and product growth.
The Senior Data Platform Engineer will take ownership of the company’s data infrastructure, ensuring it is scalable, secure, cost‑efficient, and built to support a wide range of data consumers across engineering, analytics, and machine learning.

Responsibilities:

• Own, maintain, and evolve the core data platform built on modern lakehouse and cloud technologies
• Partner closely with engineering, data science, ML, and analytics teams to understand current and future data needs
• Design and implement live and streaming data ingestion layers (e.g. Kafka, Kinesis or similar)
• Define standards for storage, compute, orchestration, data management, and provenance
• Monitor infrastructure performance, reliability, and cost, forecasting future requirements
• Implement and manage role‑based access controls and data governance practices
• Build reusable tooling and frameworks for data consumers, including data quality monitoring and backfilling capabilities

Must‑Have Qualifications:

• 5+ years’ experience in data infrastructure, data platform engineering, or data engineering
• Hands‑on experience with Databricks in a production environment
• Strong knowledge of modern data warehouse and lakehouse architectures
• Proven experience building and supporting scalable ETL / data pipelines
• Experience with access control, data governance, security, and observability
• Comfortable working in fast‑paced, high‑growth environments

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Senior Analytic Engineer (Healthcare Data)

Remote – U.S. Based | No Sponsorship

A rapidly growing, tech-enabled healthcare organization is building out its next-generation analytics platform-and is hiring a Senior Analytic Engineer to play a foundational role in that evolution.

This organization operates at the intersection of integrated care delivery and modern data infrastructure, providing coordinated medical and behavioral health services to patients in long-term care settings. Backed by significant investment and scaling through acquisition, the company is making a major push into data, AI, and advanced analytics to improve patient outcomes and operational efficiency.

If you’re someone who wants to own core data models, shape how the business understands its data, and enable AI-driven analytics, this is a high-impact opportunity.

The Role

You’ll sit at the center of the data ecosystem-owning the semantic layer and core data models that power BI, self-service analytics, and emerging AI/LLM-driven tools.

This is not a dash-boarding role. It’s a highly technical, business-facing position focused on transforming raw healthcare data into clean, scalable, and trusted data models that drive decision-making.

You’ll bridge:

• Data engineering
• Business context
• Analytic consumption (BI + AI tools)

What You’ll Do

• Design, build, and maintain scalable data models using dbt and SQL
• Own and define the semantic / metrics layer across the organization
• Translate complex business questions into structured, reusable data definitions
• Enable self-service analytics and natural language querying via AI tools
• Standardize and govern key metrics across clinical, operational, and financial domains
• Partner closely with stakeholders, BI teams, and data engineers to ensure data is accurate, accessible, and actionable
• Structure data to support modern analytics tools (e.g., semantic layer platforms, AI-driven BI)

What You Bring

• 6-8+ years of experience across analytics engineering, BI, or data engineering
• Deep experience working with healthcare data systems, including:
  • EHR / EMR platforms
  • Medical claims data
  • Interoperability standards like HL7 and FHIR
• Strong understanding of:
  • Clinical vs. transactional healthcare data
  • Claims and payer workflows
  • HIPAA-compliant data handling and governance
• Advanced SQL skills
• Hands-on experience with dbt (macros, snapshots, exposures, metrics layer)
• Proven expertise in:
  • Data modeling
  • Semantic layer design
  • Embedding business logic into analytics systems

Nice to Have

• Experience with modern data platforms like Snowflake or Databricks
• Familiarity with semantic layer tools (LookML, AtScale, Cube, etc.)
• Exposure to AI-enabled BI tools (ThoughtSpot, Sigma, etc.)
• Experience with data observability or orchestration tools

Why This Role

• Greenfield impact: Help define how analytic is built and scaled
• AI-forward: Work at the forefront of agentic and LLM-driven analytics
• Mission-driven: Directly impact care for underserved and high-risk populations
• High growth: Join a rapidly scaling healthcare platform investing heavily in data

What Success Looks Like

• A clean, scalable semantic layer that supports both humans and AI
• Consistent, trusted metrics used across the business
• Seamless self-service analytics for non-technical users
• A strong foundation for AI-driven decision-making

Who You Are

You’re a hybrid thinker-equally comfortable with data modeling and business context. You’re curious, forward-thinking, and excited about where analytic is headed (AI, semantic layers, self-service). Most importantly, you want your work to have real-world impact, not just sit in dashboards.

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Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Performance Marketing

London, hybrid working. Base salary £150,000 – £200,000 plus equity and benefits.

This is a rare opportunity to build the growth engine of a fast-scaling consumer fintech. You will take a strong performance marketing foundation and turn it into a differentiated advantage, shaping how millions of customers discover, join, and grow with a leading digital product.

The Company
They are a high-growth, app-led consumer financial services business on a mission to redefine how people engage with their money. With a multi-product ecosystem and a rapidly expanding customer base, data, AI, and experimentation sit at the heart of their strategy. Marketing is seen as a strategic growth driver, with meaningful investment in brand, performance, customer analytics, and MarTech. You will join a modern, collaborative leadership team that is focused on sustainable, profitable growth.

The Role
As Director of Performance Marketing, you will:

• Own the long-term performance marketing strategy for profitable new customer growth.
• Lead channel investment strategy, planning, and budgeting across paid social, search, and app acquisition.
• Build and refine measurement frameworks, from attribution and incrementality to media mix and unit economics.
• Partner closely with Product, Data, Customer Analytics, and CRM to optimise the full funnel, from impression to in-app activation and value.
• Lead and develop the performance marketing function, including a high-performing team and agency partners.
• Embed a rigorous test-and-learn culture across channels, audiences, creative, and propositions.
• Champion the use of AI and advanced analytics to drive workflow efficiency, insight, and optimisation.
• Act as a senior thought partner to the executive team on growth opportunities, risk trade-offs, and performance forecasts.

Your Skills And Experience
You will be a strong fit if you have:

• Proven success in scaling acquisition for a consumer-focused digital business, such as fintech, subscription, marketplace, or app-led services.
• Deep hands-on understanding of performance channels, especially Meta, Google, and app store acquisition.
• Strong commercial mindset with experience managing large budgets and performance-driven investment decisions.
• Advanced analytical capability, comfortable with data, experimentation, and incrementality measurement.
• Experience working with or alongside customer analytics, product, and MarTech teams to drive holistic growth.
• Confidence leading agencies and internal teams, with a collaborative, low-ego leadership style.
• Curiosity about AI and how it can enhance marketing effectiveness and decision-making.

What They Offer

• Base salary in the range of £150,000 – £200,000, depending on experience.
• Meaningful equity, plus a comprehensive benefits package.
• Senior visibility and influence across the executive and product leadership teams.
• The chance to shape the growth model of a high-potential consumer fintech at a pivotal stage.
• A culture that values data, experimentation, and continuous learning.

How To Apply
If you are a commercially minded Director of Performance Marketing who wants to build and own a high-impact growth engine in London, please apply with your CV to find out more.

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Senior Marketing Analyst
London (Hybrid) | Up to £65,000 | Mid-Senior Level (3-5 years)

We’re seeking a Senior Marketing Analyst to join a high-performing analytics team within a fast-paced digital marketing environment.

In this role, you’ll partner with multiple clients, transforming complex marketing and consumer data into clear, actionable insights that drive campaign performance and business growth.

What You’ll Do

• Analyse large-scale online and offline marketing data to uncover trends and opportunities
• Deliver data-driven insights to optimise campaign performance and maximise ROI
• Support the development and interpretation of Marketing Mix Models (MMM)
• Conduct hands-on analysis using SQL, Python, or R
• Present insights and recommendations to clients and internal stakeholders
• Collaborate with cross-functional teams including sales, product, media, and account management

What We’re Looking For

• 3-5 years’ experience in marketing analytics, data analytics, or data science
• Strong statistical knowledge (e.g. A/B testing, confidence intervals, model uncertainty)
• Experience with MMM or similar advanced modelling techniques
• Proficiency in SQL and/or Python/R
• Experience with BI and visualisation tools (e.g. Tableau)
• Solid understanding of digital marketing, media channels, and targeting strategies
• Excellent communication skills with experience in client-facing environments

About You

You’re a commercially minded analyst who enjoys turning complex data into clear, impactful stories. You’re naturally curious, detail-oriented, and confident working with stakeholders in a fast-moving, client-focused setting.

Interested?
Find out more and apply via the link below.

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Marketing Analyst

London (4 days onsite) | £45-50k + bonus

Data-driven marketing business working with large retail and consumer brands to improve customer targeting, campaign performance, and commercial outcomes through data, analytics, and technology.

The Role

You’ll join a small analytics team supporting multiple client accounts, focusing on turning customer, campaign, and behavioural data into actionable insights.

Work includes:

• Campaign and customer data analysis to understand performance drivers
• Audience and segmentation analysis (including high-value customers)
• Ad hoc deep dives on large transactional datasets
• Supporting insight delivery alongside senior team members
• Contributing to client-facing outputs (with support)

Requirements

• 1-3 years’ experience in analytics / marketing / data role
• Strong SQL skills
• Exposure to CRM, digital, or marketing data desirable
• BI tool experience (e.g. Tableau) a plus
• Strong communication and stakeholder skills
• Curious, commercially minded, and keen to develop

Interview Process

• 45-min intro interview
• Task/presentation (in-person)
• Final interview with senior stakeholder

Find out more and apply via the link below.

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Director of Data

London (Office-first, flexible)
£120,000 – £140,000

We are hiring a Director of Data for a PE-backed, global rewards and marketing analytics business operating at scale with major international clients.

This is a hands-on leadership role focused on maximising the value of an established data and analytics platform, not defining strategy from scratch.

The Role

You will lead a small data and analytics function, driving execution of an existing roadmap and helping the business extract greater commercial value from its data products.

Key focus areas:

• Turning data into commercial insight and client value

• Driving adoption of analytics and data products

• Supporting development of predictive and advanced analytics capability

• Improving data literacy and stakeholder engagement

• Working closely with product, engineering, and commercial teams

Tech Stack

• Snowflake

• SQL

• Python

• Mixpanel

• BI / visualisation tools (in transition)

What We’re Looking For

• Strong background in analytics / BI / advanced analytics

• Hands-on with data (SQL and ideally Python)

• Strong stakeholder management and communication skills

• Experience working in fast-paced, delivery-focused environments

• Comfortable operating in a small, hands-on leadership structure

Nice to Have

• Loyalty, rewards, marketing analytics or consultancy experience

• Exposure to AI or predictive analytics

• Experience in global or multi-market organisations

Important

This is not a large team leadership role – it requires someone who is hands-on, commercially minded, and able to influence without building a large function.

Why Apply

• PE-backed business in growth phase

• Opportunity to shape high-impact data products used by global brands

• Strong visibility with senior stakeholders

• Real focus on turning data into commercial outcomes

Find out more and apply via the link below.

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