To Apply for this Job Click Here

Junior Data Engineer

up to £45,000 + Benefits
Remote (UK)
This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.

THE COMPANY

Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.

THE ROLE

You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:

• Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
• Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
• Building and maintaining data models using dbt to support analytics and reporting requirements.
• Supporting the development of AI-driven data products and semantic layers.
• Creating trusted datasets and business-facing data assets to support company-wide decision making.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python development.
• Advanced SQL.
• Building and maintaining data pipelines.
• Data modelling and warehousing fundamentals.
• dbt or similar modern transformation frameworks
• Experience with AWS data services.
• Exposure to Kafka, Spark, streaming data, or modern BI tools.
• Interest in AI, analytics engineering, and data products

THE BENEFITS

You will receive a salary of 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

LEAD DATA ENGINEER (Azure)

Uo to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK’s most recognisable cultural organisations as they embark on a major data transformation programme. You’ll take ownership of building a modern data platform from the ground up, driving best practice across data engineering while helping the organisation unlock the full value of its data and AI ambitions.

THE COMPANY:

Part of a renowned charitable organisation that entertains millions across the UK, this is the largest publicly funded performing arts organisation in the country. The organisation is investing heavily in modernising its technology estate and creating new opportunities to leverage data, analytics and AI to support future growth and innovation.

THE ROLE:

You will take ownership of designing, building and evolving the organisation’s modern data platform. As the technical lead for data engineering, you will define standards, mentor a growing team and deliver data solutions that support business-wide analytics and future AI initiatives.
Key responsibilities include:

• Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric
• Building scalable and reliable data pipelines using a Medallion architecture approach
• Designing robust data models and semantic layers across multiple business domains
• Establishing engineering best practices, governance frameworks and development standards
• Managing and developing a small team of data engineers
• Partnering with stakeholders across the organisation to translate business requirements into scalable data solutions
• Enabling high-quality downstream reporting, analytics and Power BI semantic models
• Supporting long-term data innovation and AI initiatives across the organisation

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong expertise in dimensional data modelling and semantic layer design
• Hands-on experience with Microsoft Fabric and/or Azure Data Services
• Proven experience delivering end-to-end data solutions, from ingestion through to Power BI reporting and analytics
• Strong stakeholder management and communication skills
• Previous experience managing, mentoring or leading teams, with at least two direct reports

THE BENEFITS:

You will receive a salary up to £75,000 dependent on experience, alongside 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

Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You’ll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role

• Own and develop the MLOps infrastructure supporting AI services.
• Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
• Deploy and manage ML workloads on Kubernetes and cloud platforms.
• Implement CI/CD, observability, and monitoring across production systems.
• Develop infrastructure using Terraform, Bicep, or similar IaC tools.
• Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.

Your Skills & Experience

• Strong Python software engineering skills.
• Commercial MLOps experience in production environments.
• Hands-on Kubernetes expertise.
• Experience with workflow orchestration platforms.
• Infrastructure as Code and CI/CD experience.
• Understanding of production ML, NLP, or AI systems.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Operations Manager
London (Hybrid) | Up to £55,000 + Benefits

The Company
They are a well-established and fast-growing insights organisation with an international presence and a strong reputation for delivering high-quality data-driven projects. Their teams combine research expertise, technology, and operational excellence to help clients make informed business decisions. With significant investment in automation and modern data infrastructure, they offer an environment where innovation and continuous improvement are actively encouraged.

The Role
You will be responsible for managing and improving operational delivery across a range of quantitative research and data programmes.
Key responsibilities include:

• Delivering survey scripting, data processing, reporting operations, and workflow automation
• Designing, maintaining, and improving operational tools and automated processes
• Managing delivery priorities and resource allocation across multiple projects
• Identifying and mitigating delivery risks before they impact project outcomes
• Implementing and strengthening quality assurance and governance processes
• Acting as an escalation point for complex technical delivery challenges
• Working closely with stakeholders to communicate technical issues in a clear and commercially focused way
• Supporting the continuous improvement of operational frameworks, automation, and delivery standards

Your Skills & Experience

• Strong experience within market research, research operations, data processing, or a similar environment
• Hands-on survey scripting experience using platforms such as Decipher, Qualtrics, Forsta, Dimensions, or equivalent
• Experience managing quantitative data workflows and reporting outputs
• Strong data cleaning, transformation, and data management capabilities
• Knowledge of automation workflows, APIs, and process optimisation
• Exposure to tools such as SPSS, Q, DisplayR, or similar analytical platforms
• Excellent stakeholder management and communication skills
• Commercial awareness and the ability to balance quality, timelines, and operational efficiency
• Experience with Python, SQL, JavaScript, or other automation technologies is highly desirable

How to Apply
If you are interested in this Data Operations Manager opportunity, apply now to discuss the role in more detail.

To Apply for this Job Click Here

To Apply for this Job Click Here

A Senior Pricing Analyst opportunity within a data-led business where pricing decisions have a direct impact on commercial performance. You’ll work across pricing, analytics, and business teams to improve segmentation, monitor performance, and support pricing strategy.

The Company
They are a customer-focused organisation investing in their pricing and analytics capability. Data plays a key role in business decisions, with teams working closely together to drive performance and improve customer outcomes. They offer a collaborative environment with opportunities to develop technical and commercial skills.

The Role
You will support the development and delivery of pricing strategies across a large customer portfolio.
Responsibilities include:

• Developing and refining pricing and customer segmentation models
• Analysing performance data to identify trends, risks, and opportunities
• Monitoring pricing performance and portfolio outcomes
• Producing analysis to support pricing decisions and business strategy
• Working with stakeholders across commercial, product, and analytics teams
• Presenting insights and recommendations to both technical and non-technical audiences

Your Skills & Experience

• SQL/Python and experience in pricing, commercial analytics, revenue management, or a related analytical role
• Background in insurance, telecommunications, gambling, travel, or another consumer-focused industry
• Strong analytical and problem-solving skills
• Ability to communicate insights clearly to stakeholders
• Experience working with customer, product, or pricing data

What They Offer

• Salary up to £55,000
• Annual bonus
• Hybrid working

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Pricing Analyst
London (Hybrid) | Up to £60,000

If you’re looking for a role where your analytical expertise can directly influence commercial performance, this is an excellent opportunity to join a highly data-driven organisation investing heavily in its pricing and analytics capabilities. You’ll work on complex pricing challenges, collaborate with senior stakeholders, and see the tangible impact of your work across the business.

The Company
They are a well-established consumer-focused organisation undergoing significant growth and transformation. Data, analytics, and innovation sit at the heart of their strategy, with substantial investment in pricing, technology, and decision-making capabilities. They foster a collaborative environment where new ideas are encouraged and analytical thinking is highly valued. This is an opportunity to join a team that is committed to continuous improvement and long-term development.

The Role
You will play a key role in developing and enhancing pricing strategies that drive business performance and support profitable growth.
Responsibilities include:

• Designing and improving pricing segmentation across customer groups and products
• Analysing portfolio and segment performance to identify commercial opportunities and emerging risks
• Building and maintaining monitoring frameworks to assess pricing effectiveness
• Delivering actionable insights and recommendations to support strategic decision-making
• Collaborating with underwriting, product, commercial, and data teams to optimise pricing performance
• Supporting testing, experimentation, and continuous enhancement of pricing methodologies
• Communicating complex analytical findings clearly to both technical and non-technical stakeholders

Your Skills & Experience

• Strong commercial experience in pricing, modelling, analytics, or quantitative analysis
• Understanding of pricing principles, segmentation methodologies, and performance monitoring
• Proficiency in analytical and data tools such as Python, SQL, R, or SAS
• Ability to interpret complex datasets and translate findings into business recommendations
• Strong stakeholder management and communication skills
• A proactive and inquisitive approach to problem-solving
• Experience working within a fast-paced, data-led environment

How to Apply
If you’re interested in this Senior Pricing Analyst opportunity, apply today to discuss how your experience aligns with the role and learn more about the next steps.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Amsterdam | €80,000+ Bonus + Benefits

This is an exciting opportunity for a Senior Data Engineer to join a well-established retailer operating at scale across multiple markets. You’ll play a key role in shaping a modern data platform, enabling data-driven decision-making, and delivering impactful solutions that support both customer and commercial outcomes.

The Company

They are a leading retail business with a strong digital presence and a commitment to innovation. Operating in a fast-paced environment, they leverage data to optimise operations, enhance customer experiences, and support strategic growth. The organisation is investing heavily in its data capabilities, making this an excellent time to join and contribute to a growing data function.

The Role

As a Senior Data Engineer, you will help design, build, and optimise scalable data solutions across the business.

Responsibilities include:

• Designing and developing robust data pipelines for batch and real-time data processing
• Building and maintaining cloud-based data platforms and data warehouses
• Supporting the delivery of analytics, reporting, and machine learning initiatives
• Improving data quality, governance, monitoring, and observability across the platform
• Collaborating with Data Analysts, Data Scientists, Product teams, and business stakeholders
• Driving best practice in data engineering, architecture, and platform performance
• Contributing to technical strategy and mentoring colleagues within the data team
• Identifying opportunities to improve efficiency through automation and scalable engineering solutions

Your Skills & Experience

• Strong commercial experience as a Data Engineer or Senior Data Engineer
• Advanced SQL skills and strong capability in Python
• Experience building and maintaining modern cloud data platforms, ideally on Azure, AWS, or GCP
• Expertise in data modelling, ETL/ELT development, and data warehousing concepts
• Experience with orchestration and workflow tools such as Airflow or similar technologies
• Knowledge of modern data architecture principles and scalable distributed systems
• Experience working with large, complex datasets in a commercial environment
• Strong stakeholder management and communication skills
• Ability to work collaboratively across technical and non-technical teams
• Passion for data, continuous improvement, and delivering business value

What They Offer

• Salary of €80,000 depending on experience
• Performance-related bonus
• Competitive pension contribution
• Hybrid working model based in Amsterdam
• Generous annual leave allowance
• Learning and development budget
• Opportunity to influence a growing data platform and technical roadmap
• Clear career progression within a mature and expanding data function
• Supportive and collaborative working environment

How to Apply

If you’re a Senior Data Engineer looking for an opportunity to build scalable data solutions and have a real impact within a data-driven retail business in Amsterdam, please apply with your CV for further information.

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an opportunity for a Data Operations Manager to join a research and analytics business focused on improving data delivery, automation, and operational processes. You’ll work across a range of data projects, helping to drive efficiency and support the continued development of the data function.

The Company
They are an established insights and research organisation that works with clients across multiple sectors. The business is investing in technology, automation, and operational improvement to support future growth. You will join a collaborative team where data and technology play a key role in project delivery.

The Role
You will be responsible for managing data operations and supporting the delivery of quantitative research programmes.
Key responsibilities include:

• Managing survey scripting, data processing, reporting operations, and workflow delivery
• Improving automation processes, tools, and data pipelines
• Identifying delivery risks and supporting quality assurance processes
• Coordinating priorities across multiple projects
• Working with stakeholders to ensure successful project delivery
• Supporting the development of operational processes and best practices
• Using technology to improve efficiency and reduce manual workloads

Your Skills & Experience

• Commercial experience within data operations, research operations, or data processing
• Hands-on experience using SPSS for data analysis and reporting
• Experience with Python and SQL for data manipulation, automation, and workflow improvement
• Strong data cleaning, transformation, and quality assurance skills
• Experience with survey scripting platforms such as Qualtrics, Forsta, Decipher, or similar
• Ability to manage multiple projects and deadlines
• Strong communication and stakeholder management skills
• Experience with APIs or workflow automation tools would be beneficial

What They Offer

• Salary up to £55,000
• Hybrid working with 2 days per week in the London office
• Opportunities for career development and progression

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA PLATFORM ARCHITECT

up to £100,000 + Benefits
London (Hybrid)

This is a fantastic opportunity to join a large-scale consumer-focused digital organisation, taking ownership of the architectural direction of a modern data platform that sits at the heart of business decision-making, digital growth and AI innovation.

THE COMPANY:

Our client is a highly recognised international digital business with a strong consumer presence and a global audience. Operating across multiple regions, the organisation has invested heavily in its data capabilities and is continuing to transform how data powers decision-making, customer experiences and emerging AI initiatives.
As part of a wider data and technology transformation, they are looking for an experienced Data Platform Architect to help shape the future of their data ecosystem and engineering standards.

THE ROLE:

You will take ownership of data platform architecture, standards and solution design across a growing engineering function. Working closely with platform engineers, analytics engineers, product managers, governance teams and senior stakeholders, you will help ensure data is scalable, trusted and ready to support AI-driven initiatives.
Key responsibilities include:

• Designing and evolving the organisation’s cloud-based data platform architecture
• Assessing and recommending new technologies, tools and data solutions across the business
• Defining architectural standards, best practices and reusable patterns across engineering teams
• Supporting data governance, security, metadata and data quality initiatives
• Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices
• Partnering with stakeholders to understand requirements and translate them into scalable technical solutions
• Driving improvements around data lineage, observability, modelling standards and platform governance
• Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data Platform Architecture or Data Solutions Architecture experience within modern cloud environments
• Strong experience with Terraform and Infrastructure as Code (IaC)
• Commercial experience using dbt within modern ELT ecosystems
• Strong understanding of DataOps, CI/CD and engineering best practices
• Experience working with governance, security, privacy or risk functions
• Excellent stakeholder management skills with the ability to influence, coach and educate technical team

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in shaping a modern, AI-ready data platform.

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