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DATA ENGINEER

£45,000-50,000 + BENEFITS

LIVERPOOL (Hybrid)

This is great company for an ambitious Data Engineer looking to be able to take real ownership and manage and optimise the data infrastructure.

THE COMPANY:

Working with this Martech company, you will be able to work on finding customers at the early stage of the cycle, and turn them into leads.

THE ROLE:

A Data Engineer will need to:

• Work closely with stakeholders across the business
• Design and implement ETL pipelines
• Managing data infrastructure

YOUR SKILLS AND EXPERIENCE:

A successful Data Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholders
• Strong experience in SQL/Python
• Experience with a Cloud
• Data modelling/warehousing experience

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £50,000 On top of the salary there are some fantastic extra benefits.

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

Salary: £95,000

Location: Remote First (London Office)

Join a team where data engineering isn’t just support, it’s the engine. Build the models and pipelines that fuel innovation, accelerate growth, and elevate how the whole company thinks about data.

The Opportunity

This opportunity puts you at the centre of shaping the company’s data landscape, giving you the ability to influence how teams access, understand, and trust their data. You’ll take ownership of high-impact initiatives that drive better decision-making and unlock meaningful insights across the business.

As a senior contributor, you’ll help define the long-term vision for data, ensuring it grows in a scalable, reliable, and forward-thinking direction. You’ll mentor and support other engineers, fostering a culture of collaboration, learning, and empowerment. Ultimately, this role offers the chance to make a visible, lasting mark by elevating the organisation’s data capabilities and enabling teams to work smarter and more independently.

The Role & Responsibilities

A Senior Data Engineer is responsible for designing and maintaining high-quality, production-ready data pipelines that serve a variety of internal teams. They build and optimise central data models that support analytics, machine learning, and operational use cases. The role involves working with modern data stack technologies such as Databricks, AWS, dbt, Airflow, and Looker.

They lead complex technical initiatives, improve engineering efficiency through better CI/CD, observability, and tooling, and ensure data reliability at scale. Senior Data Engineers also mentor junior engineers and help promote a strong, collaborative, self-service data culture.

Interview Process

1. Introductory Conversation – 1 Hour
2. Pair Programming -1 Hour
3. Code Based Task – 1 Hour
4. Culture Fit

Join as a Senior Data Engineer to build robust data pipelines, shape high-quality models with modern tech, and lead impactful engineering initiatives that empower data-driven decision-making, apply now.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Governance Specialist

Location: London (Hybrid – 3 days a week)

Salary: £50,000

Ready to shape the future of data? Join a global powerhouse driving innovation in governance and unlock your potential in a team backed by senior leadership and bold investment.

THE OPPORTUNITY

A global leader in professional services is making significant investments in its data capabilities and expanding its Data Governance function. With operations spanning multiple regions and business lines, the organisation depends on accurate, well-governed data to drive informed decisions at both operational and strategic levels. In this role, you’ll join a central data team backed by strong senior sponsorship and a clear mandate to enhance how data is defined, managed, and utilised across the business.

As a Data Governance Analyst, you will play a hands-on role in embedding and supporting the firm’s Data Governance Framework. This includes working closely with Data Stewards and business stakeholders to understand data needs, supporting the implementation and adoption of governance processes, and maintaining the data catalogue with business glossaries, metadata, lineage, and reference data.

You’ll manage and prioritise governance issues, assist with metadata ingestion and configuration, and identify opportunities to improve data quality, consistency, and accessibility. The role also involves producing clear documentation such as user stories and functional requirements, supporting testing and training for governance tools, and using Power BI and other reporting tools to provide governance insights and monitor data quality. Collaboration across teams will be key to ensuring data processes and usage are properly governed and understood.

ROLE AND RESPONSIBILITIES

This position suits someone with experience in data-focused roles such as Data Analyst, Business Analyst, or Data Governance Analyst, who is keen to deepen their expertise in governance. You should have a strong understanding of data management concepts including metadata, data quality, and stewardship, along with experience using data catalogues or governance tools.

Proficiency in Power BI, Excel, and ideally SQL is important, as are strong analytical and problem-solving skills. Excellent communication skills are essential to bridge business and technical teams, and experience writing clear documentation and user stories is required. The ability to manage multiple priorities in a fast-paced environment is critical, and familiarity with Agile or Waterfall delivery methods would be beneficial.

INTERVIEW PROCESS

1. In person meeting – Introductory Conversation
2. Technical Assessment – Walk Through
3. Final Conversation – Virtual

Join a global leader in professional services as a Data Governance Analyst, driving data quality and governance across a high-impact, senior-backed team, apply now!

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR PYTHON ENGINEER

LOCATION: LONDON (HYBRID)

SALARY: £100,000 + Equity

Join a fast-growing innovator transforming property management through AI-driven solutions. Shape the future of automation and make a real impact in a high-growth environment!

THE OPPORTUNITY

This is a fast-growing innovator in the property management space, dedicated to transforming operations through intelligent automation. Their platform streamlines essential processes such as client interactions, scheduling, and payment handling, enabling professionals to focus on delivering exceptional service. The organisation is driven by a mission to reduce manual effort and enhance efficiency across the industry.

They foster a collaborative environment that values curiosity, innovation, and impact. Backed by strong growth ambitions, the company offers opportunities to shape the foundation of a cutting-edge solution in a dynamic market. Joining this team means contributing to a vision that redefines how property professionals operate and succeed.

ROLE AND RESPONSIBILITIES

This company is a fast-growing innovator in property management, leveraging AI-driven automation to streamline operations. As part of their engineering team, you’ll design and build robust backend systems and APIs using Python and frameworks like FastAPI, Flask, or Django. The role involves integrating AI models into production environments and optimizing data pipelines for efficiency and scalability. You’ll work with cloud platforms such as GCP, implement CI/CD workflows, and maintain high standards of code quality and documentation.

Experience with microservices architecture, containerization tools like Docker and Kubernetes, and version control using Git is highly valued. Joining this team means contributing to cutting-edge PropTech solutions while shaping the technical foundation of a rapidly growing business.

INTERVIEW PROCESS

1. Introductory Conversatyion
2. Meeting with the CEO – Experience and CV
3. Meeting with AI Engineers – Collaboration in Team Environment
4. Final Conversation – Culture Fit and Communication Skills

Lead the design and delivery of scalable backend systems for an AI-driven platform transforming property management, apply today!

To Apply for this Job Click Here

To Apply for this Job Click Here

AWS CLOUD ENGINEER

Remote (UK) – £75,000 – £80,000 – No Sponsorship Available

Company

Our client is a fast-growing technology company at the forefront of generative AI innovation. They are transforming how businesses and individuals create and interact with digital content responsibly, and are looking for top talent to join their forward-thinking team.

Responsibilities

We are looking for an AWS Cloud Engineer to help design, implement, and maintain cloud infrastructure that powers cutting-edge AI applications. Key responsibilities include:

• Build and manage scalable AWS infrastructure for AI workloads
• Develop CI/CD pipelines with GitHub Actions and maintain clean version control
• Implement infrastructure as code using AWS CDK (Python/TypeScript) and Terraform
• Write maintainable automation and tooling code in Python and TypeScript
• Configure AWS services for compute, storage, networking, and AI/ML workloads
• Collaborate with development and data teams to deliver practical infrastructure solutions
• Automate deployment, monitoring, and management processes
• Troubleshoot issues and ensure cloud environments are secure and reliable

Requirements

• Proven experience as a Cloud Engineer or similar AWS-focused role
• Strong Python and TypeScript programming skills
• Experience with GitHub Actions for CI/CD
• Expertise in infrastructure as code using AWS CDK and Terraform
• Knowledge of cloud networking, security, and monitoring
• Familiarity with Docker/Kubernetes and automation scripting
• Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively

Highly desirable

• AWS certifications (e.g., DevOps Engineer, Solutions Architect)
• Experience with AWS generative AI services (Bedrock, SageMaker)
• Open-source contributions demonstrating engineering best practices

Benefits

• Work on cutting-edge generative AI projects
• Join a talented, innovative team
• Competitive salary and benefits package
• Opportunities for professional growth and skill development
• Make a real impact in a fast-growing, dynamic business

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer

London – Hybrid (3 days) – £50,000 – £60,000

Company

Our client is a London-based company specialising in advertising and audience measurement. They provide independent, high-quality audience metrics and insights from advertising campaigns, leveraging multi-year datasets including telco and movement data. Working with major industry partners, the organisation focuses on delivering accurate, actionable insights for the out-of-home advertising sector, supported by a small, close-knit team.

Responsibilities

As a Data Engineer, you will be a key contributor to building and maintaining the company’s data infrastructure. Responsibilities include:

• Build, manage, and maintain data pipelines across GCP and on-prem Proxmox environments
• Ingest and manage new datasets, including ongoing feeds from Ipsos
• Ensure reliable, GDPR-compliant delivery of data to analysts and researchers
• Load and manage data in PostgreSQL and BigQuery
• Develop and support API-based data ingestion pipelines
• Manage and optimise cloud and on-prem infrastructure for reliability and efficiency
• Perform Linux and networking tasks related to on-prem systems
• Support ad-hoc and exploratory data projects as required

Requirements

• 2+ years commercial experience in data engineering or related roles
• Hands-on experience with GCP and Terraform
• Strong Python and SQL skills
• Working knowledge of Linux environments and basic networking
• Interest in data engineering, infrastructure, and understanding data flow
• Comfortable working in a small, collaborative team and taking initiative

Nice-to-have

• Exposure to data science concepts
• Curiosity about how data is used across a business
• Experience with Proxmox or similar virtualization environments

Benefits

• Competitive salary: £50-60K
• Work from the London office (3 days/week) with flexibility for remote working
• Opportunity to work in a small, highly collaborative team with direct impact
• Exposure to cloud and on-prem infrastructure, building end-to-end data pipelines
• Professional development and opportunities to grow within the company

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR DATA ENGINEER

UP TO £55,000 + BENEFITS

HYBRID – Lancashire

If you’re a technically strong, proactive Data Engineer looking to join a scaling fintech with start-up energy and enterprise backing, this could be a great next step.

THE COMPANY:

I’m working on a fantastic opportunity with a high-growth fintech that’s transforming how consumers engage with retail and finance. With a modern data stack and ambitious product roadmap, this company is building the future of payments, loyalty, and credit in an agile, tech-driven environment.

THE ROLE:

You’ll join a cross-functional data team as a Data Engineer, working closely with analytics, product, and platform teams to scale and optimise core data infrastructure. This is a hands-on role where you’ll take ownership of ingestion, transformation, and modelling-while also helping define platform standards and best practices.

Key responsibilities include:

• Build and maintain ELT pipelines
• Take full ownership of data ingestion
• Support data modelling and architecture within Snowflake
• Own and evolve the dbt layer, including governance and access controls
• Collaborate across analytics, product, and engineering teams
• Contribute to platform improvements, automation, and optimisation

YOUR SKILLS AND EXPERIENCE:

A successful Senior Data Engineer will bring:

• Strong SQL skills
• Experience with dbt in a production environment
• Snowflake experience is desirable
• Exposure to AWS
• Confident mentoring peers and contributing to a collaborative, high-impact team
• Experience working in fast-paced, agile environments with modern data workflows

THE BENEFITS:

You will receive a salary of up to £55,000 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

PLATFORM ENGINEER

LOCATION: LONDON (HYBRID)

SALARY: £75,000

Ready to shape the future of cloud? Join a fast-growing fintech and own the platform powering millions.

THE OPPORTUNITY

This is a pioneering digital bank that started as a peer-to-peer lending innovator and has evolved into a customer-first financial institution. Their mission is to redefine banking by focusing on transparency, simplicity, and empowering people to achieve financial well-being. The culture is collaborative, inclusive, and consistently ranked among the UK’s most loved workplaces.

They embrace innovation, launching new products at scale while maintaining secure, resilient platforms for millions of customers. Diversity and flexibility are core values, offering hybrid work options and a supportive environment for growth and impact.

THE ROLE AND RESPONSIBILITIES

The Platform Engineer will design, maintain, and optimise cloud infrastructure to support secure and scalable digital banking services. You’ll manage AWS environments, oversee Kubernetes clusters, and implement secret management solutions to ensure reliability and compliance. A key part of the role involves building and improving CI/CD pipelines using tools like Terraform, ArgoCD, and Jenkins to drive automation and efficiency.

You’ll enhance observability with Prometheus, Splunk, and Honeycomb, ensuring robust monitoring and troubleshooting capabilities. Strong collaboration is essential, as you’ll work closely with engineering teams to deliver resilient platforms and coach best practices. This hybrid London-based role offers a fast-paced environment where innovation, continuous improvement, and a growth mindset are highly valued.

INTERVIEW PROCESS

1. Behavioural Interview – Focusing on Collaboration
2. Technical and Values Stage

Own and optimize cloud infrastructure with AWS, Kubernetes, and CI/CD automation in a dynamic fintech environment, apply now!

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer

Location: London (Hybrid – Remote First)

Salary: £75,000

Shape the future of audio analytics at a global media giant by building scalable data platforms, standardised infrastructure and cutting-edge frameworks that power smarter audience insight, stronger engagement, and high-impact digital experiences across multiple international markets.

The Opportunity

This opportunity offers the chance to join a global media organisation as it modernises and elevates its audio data capabilities. You’ll play a key role in building unified data platforms and standardised infrastructure that will be used across multiple international markets. Central to the role is creating robust pipelines and analytics layers that enable deeper audience insights and more impactful digital engagement.

Working within a small, forward-thinking engineering team, you’ll act as part of an internal consultancy driving best practice across the business. It’s a chance to influence architecture, shape frameworks from the ground up, and directly enhance everything from competitions to large-scale campaign performance.

Role and Responsibilities

In this role, you’ll build and maintain robust data pipelines using Python and SQL to ensure clean, reliable, and well-structured data. You’ll design and optimise workflows using tools such as Airflow and dbt to support scalable, high-quality analytics layers. You’ll help architect and evolve cloud-based data platforms across technologies like BigQuery, Redshift, and Terraform.

You’ll contribute to creating a standardised, self-serve data infrastructure that can be adopted across multiple international teams. You’ll also work closely with engineers and stakeholders to validate data quality, improve processes, and drive best-practice engineering across Kubernetes-based environments.

Interview Process

1. Introductory Conversation – Discussing Experience and CV
2. Technical Test
3. Culture Fit Conversation

If you’re excited by the chance to help build standardised data platforms, enhance audience analytics, and influence architecture within a global media group’s growing audio data team, apply now.

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