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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.

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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.

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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.

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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

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Director of Analytics

Location: 100% Remote within the United States
Compensation: Up to $220,000 base salary + 15% annual bonus
Work Authorization: Must be a U.S. Citizen or Green Card holder. Sponsorship is not available.

About the Opportunity

A growing organization is seeking a Director of Analytics to lead the strategy, architecture, and delivery of a highly visible enterprise analytics platform. This is a hands-on leadership role for someone who has personally built and scaled modern data and analytics solutions while leading high-performing teams.

You’ll oversee a team of Analytics Engineers responsible for the full data lifecycle, including data ingestion, warehousing, semantic modeling, BI enablement, and customer-facing analytics solutions. This role offers the opportunity to shape the future of a rapidly evolving analytics function and influence business decisions at an executive level.

What You’ll Do

• Define and execute the analytics platform strategy and long-term roadmap.
• Lead the design and delivery of scalable analytics products, reporting solutions, and self-service data capabilities.
• Oversee modern cloud-based data architecture, data modeling, and analytics engineering best practices.
• Partner with executive stakeholders to translate business objectives into data-driven solutions.
• Build, mentor, and grow a high-performing analytics engineering team.
• Establish standards around data governance, quality, observability, security, and operational excellence.
• Drive adoption of modern development practices including CI/CD, version control, testing, and infrastructure automation.

What We’re Looking For

Leadership Experience

• 10+ years of experience in Analytics Engineering, Data Engineering, or related fields.
• 5+ years leading and developing analytics or data engineering teams.
• Proven success delivering enterprise-scale analytics products and data platforms.
• Experience hiring, mentoring, and growing technical teams.

Technical Expertise

• Deep experience with Snowflake and modern cloud data platforms.
• Strong knowledge of AWS, Azure, and/or GCP data services.
• Expertise with dbt, data modeling, semantic layers, and analytics engineering practices.
• Advanced SQL skills and strong proficiency with Python.
• Experience with modern BI tools such as Looker, Power BI, Tableau, or similar platforms.
• Familiarity with orchestration tools such as Airflow, Fivetran, Informatica, or equivalent technologies.
• Understanding of CI/CD, Git-based development workflows, and DevOps concepts.

Additional Preferred Experience

• Experience building customer-facing or embedded analytics solutions.
• Knowledge of data governance, security, and regulatory compliance frameworks.
• Exposure to technologies such as Docker, Kubernetes, Terraform, or similar infrastructure tools.
• Familiarity with AI/ML-enabled analytics products and data-driven decision platforms.

Why This Role?

This is an opportunity to join a company making significant investments in modernizing its analytics ecosystem. The successful candidate will have the ability to influence technical strategy, build a best-in-class analytics organization, and deliver high-impact data products that drive measurable business outcomes.

Schedule Expectations

• Most days begin around 8:00 AM Pacific Time.
• Occasional meetings may be scheduled as early as 6:00 AM Pacific Time to support distributed teams and business needs.

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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.

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