To Apply for this Job Click Here

Junior Data Engineer

up to £45,000
4 days in London

This is a fantastic opportunity to join a high-growth InsurTech where you’ll take ownership of building customer-facing products from day one across multiple insurance lines.

THE COMPANY:

This B-Corp certified InsureTech business places sustainability, fairness, and customer experience at the heart of everything they build, and are now looking for their next Junior Data Engineer.

THE ROLE:

You will take ownership of designing, building, and scaling data platforms and pipelines that power critical business and customer-facing experiences.

Key responsibilities include:

• Building, maintaining, and optimising production data pipelines and workflows
• Contributing to new data platform initiatives, third-party data integrations, and infrastructure improvements
• Owning data solutions end-to-end with a high level of autonomy from day one
• Collaborating closely with Product, Commercial, Analytics, and Data Science teams
• Influencing data architecture decisions and helping shape the future direction of the data engineering function

This is a highly collaborative, high-impact environment with strong expectations and fast progression.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Excellent problem–solving ability and engineering fundamentals
• Strong academic background (with a preference for a STEM degree)
• Experience with Python, or similar languages
• Clear communication skills and a proactive, ownership-driven mindset

THE BENEFITS:
You will receive a salary up to £45,000 depending on experience, along with a comprehensive benefits package.

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

DATA ENGINEER

Up to £60,000+ Benefits
London (Hybrid)
This is a great opportunity to join a high-impact regulatory organisation where you can take ownership of large-scale data platform modernisation and transformation initiatives.

THE COMPANY:

This company is in the healthcare sector, ensuring high standards of practice and safeguarding public health.
They are currently undertaking a major transformation of their data and technology function, investing heavily in modern cloud-based data platforms to enhance reporting, operational insights, and regulatory decision-making.

THE ROLE:

You will take ownership of end-to-end data engineering across enterprise data platforms, supporting migration, integration, and modernisation initiatives within a Microsoft cloud environment.
Key responsibilities include:

• Designing and developing scalable data pipelines and ETL processes
• Integrating new data sources, including Dynamics 365, into the enterprise data warehouse
• Leading data migration, cleansing, modelling, and transformation activities
• Supporting the evolution of data platform architecture using Azure technologies
• Ensuring strong data governance, quality, and documentation standards
• Collaborating with BI teams to enable high-quality reporting and analytics delivery

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Microsoft SQL Server and data warehousing (Synapse / Fabric / Azure SQL)
• Azure Data Factory, Databricks, and modern ETL tooling
• Data modelling, data migration, and large-scale data transformation
• Building and maintaining cloud-based data platforms
• Working within Agile delivery environments

THE BENEFITS:
You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package and the opportunity to work on enterprise-scale data transformation within a highly modern Microsoft stack environment.

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 Product Engineer
London (Hybrid) | Up to £140,000 + Equity
Looking to make a genuine impact at an early-stage AI startup? This is an opportunity to join a well-funded business as one of its first engineering hires, taking ownership of a product already being tested by major enterprise customers.

The Company
This AI startup is building a behavioural intelligence platform that helps financial services organisations better understand customer behaviour and decision-making. Backed by significant early-stage investment, they are working with large enterprise clients and moving from proof-of-concept projects towards commercial deployment. With a small, highly capable team, they are focused on building scalable AI products with real-world impact.

The Role
You will take ownership of product development, helping to build and scale an AI-powered platform from an early stage.
Responsibilities include:

• Building LLM-enabled products and features used by enterprise customers
• Designing and developing backend services, APIs, and platform capabilities
• Owning RAG workflows and AI application architecture
• Managing evaluation frameworks, testing, monitoring, and quality standards
• Optimising LLM performance, scalability, and cost efficiency
• Working closely with product leadership and customers to shape the roadmap
• Establishing engineering best practices across development and deployment

Your Skills & Experience

• Strong experience as a Product Software Engineer
• Proven track record building and shipping an LLM-based product from 0 to 1
• Experience owning architecture, product decisions, and implementation
• Strong backend engineering experience with API-first products
• Hands-on experience with RAG and production AI systems
• Understanding of token usage, model evaluation, and cost optimisation
• Ability to operate autonomously in a startup environment
• Strong communication and stakeholder management skills

Desirable:

• Experience with Node.js, TypeScript, and React
• Computer Science background
• Experience within AI startups, technology companies, or financial services

What They Offer

• Salary up to £140,000
• Meaningful equity package
• Hybrid working in London
• Significant ownership and autonomy
• Opportunity to shape the engineering culture and technical direction
• Direct exposure to founders and business leadership

How to Apply
Apply today to learn more about this opportunity to build and scale cutting-edge AI products within a fast-growing startup.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst

Location: Austin, TX or Miami, FL (Hybrid, 4 days onsite)
Compensation: Up to $140,000 base + Sign-On Bonus
Work Authorization: U.S. Citizen or Green Card Holder only. No sponsorship available.

A rapidly growing financial services organization is seeking a Data Analyst to join its expanding analytics team. This role will partner closely with Finance, Compliance, HR, and business leaders to deliver reporting, analytics, and data-driven insights across the organization.

What You’ll Do

• Build and enhance reporting and analytics solutions for business stakeholders.
• Analyze complex datasets and translate findings into actionable insights.
• Partner with cross-functional teams to solve business problems using data.
• Support data pipelines, reporting infrastructure, and data quality initiatives.
• Develop dashboards and visualizations to drive decision-making.

What We’re Looking For

• Strong SQL skills (primary technical requirement).
• Experience with Tableau (or similar BI tools), Databricks, and dbt.
• Strong analytical and problem-solving abilities.
• Experience working directly with business stakeholders.
• Bachelor’s degree in Mathematics, Engineering, Information Systems, or a related quantitative field preferred.

Ideal Candidate

• Highly detail-oriented with a strong quality mindset.
• Able to bridge technical and business conversations.
• Comfortable owning projects from requirements gathering through delivery.
• Thrives in a fast-paced, high-growth environment.

Apply today to join a growing team with significant visibility, impact, and long-term career growth opportunities.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Engineer, Data Engineering

Fully Remote – within the US | Up to $220,000 Base

Seeking a senior-level Data Engineering leader to drive enterprise data architecture, scalable data platforms, and AI-powered initiatives across multiple business units. This role combines hands-on engineering with technical leadership, influencing data strategy, architecture standards, and cross-functional collaboration.

Key Requirements:

• 8+ years in Data Engineering, Data Architecture, or related field
• Strong experience with Snowflake, BigQuery, or similar cloud data platforms
• Expertise building large-scale data pipelines (batch and streaming)
• Python, Data Architecture, and distributed data systems experience
• Background with AI/ML, LLMs, or production AI solutions
• Proven technical leadership, mentorship, and architecture ownership
• Experience with Kafka, Spark, Airflow, Kubernetes, or similar technologies preferred

Work Authorization: GC or USC only.
Location: Fully Remote.

To Apply for this Job Click Here

To Apply for this Job Click Here

QA Engineer (Automation)
Rotterdam, Netherlands | Competitive Salary + Benefits

This is an excellent opportunity for a QA Engineer with a passion for test automation to join a technology-focused organisation undergoing continued digital growth. You will play a key role in improving software quality, driving automation best practices, and helping deliver reliable products used by a large customer base.

The Company
They are a fast-growing digital business with a strong focus on technology, innovation, and customer experience. Their engineering teams work in a collaborative environment where quality is embedded throughout the development lifecycle. The organisation invests heavily in modern tools, automation, and scalable systems to support ongoing growth. This role offers the chance to influence testing strategy while working alongside experienced product and engineering professionals.

The Role

• Design, develop, and maintain automated test frameworks and test suites.
• Improve software quality through effective automation and continuous testing practices.
• Collaborate with developers, product teams, and engineers to define testing requirements.
• Identify, investigate, and document defects and support their resolution.
• Contribute to CI/CD pipelines and help integrate automated testing into deployment processes.
• Monitor test results and provide clear insights on product quality and performance.
• Support the development of quality assurance standards and testing best practices.
• Drive continuous improvement across testing processes, tools, and methodologies.

Your Skills & Experience

• Strong commercial experience in QA Engineering with a focus on test automation.
• Experience building and maintaining automated testing frameworks.
• Knowledge of modern programming or scripting languages used in test automation.
• Experience working with web application testing and API testing.
• Familiarity with CI/CD environments and automated deployment workflows.
• Understanding of software development lifecycles and agile delivery methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management capabilities.

What They Offer

• Competitive salary and comprehensive benefits package.
• Hybrid working options and workplace flexibility.
• Access to modern technologies, tools, and engineering practices.
• Opportunities to contribute to testing strategy and automation initiatives.
• Clear career progression within a growing technology environment.
• A collaborative culture that supports learning, development, and knowledge sharing.

How to Apply
If you are a QA Engineer with strong automation skills and a passion for improving software quality, apply today to discuss this opportunity in more detail.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Site Reliability Engineer (SRE & AI Platform Operations)
Location: Netherlands (Hybrid) | Salary: Competitive + Benefits

This is an exciting opportunity for a Senior Site Reliability Engineer to play a key role in the reliability, scalability, and performance of a growing AI-enabled platform. You will work at the intersection of infrastructure, automation, and AI operations, helping to build resilient systems that support innovative products and services at scale.

The Company
They are a technology-led organisation focused on delivering high-quality digital experiences to a global customer base. With a strong emphasis on innovation, automation, and operational excellence, they continue to invest in modern cloud infrastructure and AI-driven capabilities. Their collaborative environment encourages knowledge sharing, continuous improvement, and technical ownership. This role offers the chance to influence platform reliability while supporting the adoption of emerging technologies.

The Role

• Design, build, and maintain reliable, scalable cloud infrastructure.
• Improve platform availability, performance, and operational resilience.
• Develop and enhance monitoring, alerting, and observability capabilities.
• Automate infrastructure management and operational processes.
• Support the operation and reliability of AI and machine learning platforms.
• Collaborate with engineering teams to improve deployment, testing, and release processes.
• Drive incident response, root cause analysis, and continuous service improvements.
• Contribute to platform security, compliance, and best practice engineering standards.

Your Skills & Experience

• Strong commercial experience in Site Reliability Engineering, Platform Engineering, or DevOps.
• Expertise with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of Infrastructure as Code tools, including Terraform or similar technologies.
• Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
• Hands-on experience with monitoring, logging, and observability solutions.
• Strong understanding of CI/CD pipelines and automation practices.
• Experience supporting production environments with high availability requirements.
• Knowledge of AI, machine learning infrastructure, or AI platform operations would be highly beneficial.
• Excellent problem-solving, communication, and stakeholder engagement skills.

What They Offer

• Competitive salary package.
• Performance-related incentives and comprehensive benefits.
• Hybrid working and flexibility to support work-life balance.
• Exposure to modern cloud technologies and AI platforms.
• Career progression opportunities within a growing technology function.
• A collaborative environment focused on learning, innovation, and continuous improvement.

How to Apply
If you are an experienced Senior Site Reliability Engineer with a passion for cloud infrastructure, automation, and AI platform operations, apply today to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Data

Location: Remote (US)

Salary: $250,000 – $300,000 + 20% bonus + benefits

This is a high-impact leadership opportunity to shape the future of enterprise data within a large-scale, mission-driven organisation. You’ll lead a sizeable data engineering function and play a pivotal role in transforming how data powers AI, digital experiences, and business decision-making across the enterprise.

The Company

They are a large, financially strong organisation operating at significant scale within a highly regulated environment. With millions of customer interactions, complex operational ecosystems, and substantial investment in AI and digital transformation, data sits at the heart of their long-term strategy. Leadership is focused on moving beyond traditional reporting towards real-time, AI-enabled data products and conversational experiences.

The Role

You will be responsible for leading the enterprise data engineering organisation, defining the platform strategy, and enabling scalable, AI-ready data products.

Key responsibilities include:

• Define and execute the enterprise data platform strategy and roadmap
• Lead a team of approximately 60 data professionals across a blended permanent and contractor workforce
• Own the delivery of scalable data platforms, pipelines, APIs, streaming capabilities, and real-time integrations
• Drive platform reliability, performance, observability, data quality, and cost optimisation
• Partner with Data Science, AI Engineering, Governance, and Product teams to deliver AI-ready data products
• Lead the shift from traditional dashboard-driven analytics to AI-powered, conversational data consumption
• Establish standards for data modelling, metadata, lineage, governance, and platform operations
• Influence enterprise-wide modernisation initiatives with strong executive visibility

Your Skills & Experience

• Strong leadership experience within enterprise data engineering and platform organisations
• Deep, hands-on experience with Snowflake in a large-scale production environment
• Expertise across cloud data platforms, ELT frameworks, data operations, streaming, and APIs
• Proven success leading large engineering teams and managing blended permanent and contract resources
• Experience building modern, scalable data platforms that support AI, machine learning, or GenAI initiatives
• Strong understanding of data governance, quality, metadata, lineage, and operational excellence
• Excellent stakeholder management and the ability to influence senior leadership
• Experience within healthcare, financial services, retail, or another regulated industry is advantageous

What They Offer

• Base salary of $250,000 to $300,000
• 20% annual bonus
• Comprehensive healthcare and retirement benefits
• High-profile leadership role reporting into senior executive leadership
• Opportunity to shape enterprise data strategy during a major AI and digital transformation programme
• Significant scope, visibility, and long-term career growth

How to Apply

If you’re an enterprise data leader with deep Snowflake expertise and a passion for building AI-ready data platforms at scale, apply today to discuss this opportunity in confidence.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Product Engineering
London | Up to £150,000
Hybrid (4 Days per Week in Office)

This is an exceptional opportunity for a senior technology leader to shape the future of a growing Data & AI business. You’ll play a pivotal role in building and scaling a high-performing Product Engineering function, driving the development of innovative data-driven products used by enterprise clients.

The Company
This organisation develops sophisticated products that combine customer data, advanced analytics, AI, and software applications to help businesses make better commercial decisions. With an established client base and ambitious growth plans, they are investing heavily in their engineering capability to create scalable, repeatable, and reliable product solutions. Their culture values technical excellence, innovation, and continuous improvement, providing a strong platform for senior leaders to make a meaningful impact.

The Role
You will:

• Lead multidisciplinary teams across Data Science, Data Engineering, Platform Engineering, and Application Development.
• Drive technical strategy, architecture, and engineering excellence across the product portfolio.
• Own the end-to-end delivery of scalable, production-ready data and AI solutions.
• Provide hands-on technical leadership through architecture reviews, problem-solving, technical validation, and code reviews where appropriate.
• Build strong engineering practices across software development, data platforms, testing, deployment, and operational support.
• Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement.
• Champion the adoption of AI-enabled development practices to improve quality and delivery speed.
• Collaborate with senior stakeholders and enterprise clients to provide technical leadership on complex initiatives.
• Influence the evolution of cloud, data, and application platforms, ensuring they support future growth.

Your Skills & Experience

• Strong experience leading engineering, data, and analytics teams within a product-led environment.
• Commercial expertise across software engineering, data engineering, and data science functions.
• Hands-on knowledge of cloud technologies, particularly Azure and modern data platforms.
• Strong understanding of Python, SQL, data architecture, distributed systems, and production environments.
• Experience delivering machine learning, AI, or advanced analytics solutions into production.
• Ability to balance strategic leadership with technical involvement in complex projects.
• Strong stakeholder management skills with experience engaging both technical and executive audiences.
• Passion for building teams, improving engineering standards, and driving organisational change.

What They Offer

• Salary up to £150,000.
• Hybrid working with four days per week in their London office.
• Significant influence over technology strategy, architecture, and product direction.
• Opportunity to build and scale a high-performing Product Engineering organisation.
• Exposure to cutting-edge AI, machine learning, and data-driven product development.
• Excellent career progression within a rapidly growing business.

To Apply for this Job Click Here