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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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Job Opportunity: MLOps Engineer (Full-Lifecycle) | Early-Stage Startup

Location: Remote or Hybrid (HQ in [City])

Role Type: Full-Time

Start Date: ASAP

About the Company

The company is a small, fast-moving startup building [short description of product/mission]. With a lean, collaborative team focused on delivering real value through AI, they are seeking an experienced MLOps Engineer to own and optimize their end-to-end machine learning pipeline as they scale.

The Role

As the company’s first dedicated MLOps hire, the successful candidate will be responsible for establishing and maintaining the full MLOps lifecycle-from data ingestion and experimentation to deployment, monitoring, and continuous optimization. They will work closely with ML engineers and the product team to ensure models move into production smoothly, reliably, and efficiently.

Responsibilities

• Designing, building, and maintaining scalable ML pipelines (training, validation, deployment).
• Developing CI/CD workflows for ML models and data pipelines.
• Implementing model and data versioning, lineage tracking, and reproducibility best practices.
• Managing infrastructure for training and inference (cloud, containers, orchestration).
• Building monitoring systems for data drift, model performance, and operational reliability.
• Optimizing cost, performance, and automation across the ML lifecycle.
• Collaborating with ML engineers to transition prototypes into production-ready systems.
• Promoting engineering excellence, documentation, and observability.

Qualifications

• 3+ years of industry experience in MLOps, ML Engineering, or DevOps for ML systems.
• Proven experience managing the full ML lifecycle in production environments.
• Strong experience with cloud platforms (AWS/GCP/Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
• Hands-on expertise with containerization and orchestration (Docker, Kubernetes).
• Familiarity with ML pipeline tools (Kubeflow, Airflow, MLflow, Vertex AI, SageMaker, etc.).
• Strong programming skills in Python and experience with CI/CD tools (GitHub Actions, GitLab CI, etc.).
• Understanding of monitoring, tracing, alerting, and model observability tools.
• A startup mindset: autonomous, resourceful, and comfortable building systems from scratch.

What the Company Offers

• High ownership and the opportunity to shape the ML infrastructure from the ground up.
• A collaborative team culture that values creativity, speed, and experimentation.
• Competitive salary + equity package.
• Flexible work environment.
• A chance to have significant impact on a product used by real customers.

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SENIOR DATA ENGINEER

LONDON – HYBRID – £80,000 – £95,000

Company

Our client is a fast-growing, data-driven organisation building a modern analytics and ML platform. The team works across multiple data domains, enabling business partners to access reliable, high-quality datasets and drive impactful insights.

Responsibilities

As a Senior Data Engineer, you will:

• Build and maintain central data models for ML, insights, and search pipelines

• Design production-ready data pipelines delivering high-quality datasets to partner teams

• Work with Databricks, AWS, dbt, Airflow, and Looker to implement robust solutions

• Lead technically complex initiatives and contribute to the team’s roadmap

• Improve engineering efficiency through internal tooling, CI/CD, and monitoring

• Mentor junior engineers and support business teams in self-service data capabilities

• Foster a collaborative data culture and promote best practices across the organisation

Requirements

• Proven track record delivering production-ready data engineering projects end-to-end

• Strong SQL and Python skills, with experience on platforms like Databricks, Airflow, dbt, and Looker

• Experience in data modelling, data warehousing, and performance/cost optimisation

• Skilled in stakeholder management, documentation, and project planning

• Experience developing CI/CD pipelines with GitHub Actions or Jenkins

• Familiarity with Terraform and infrastructure as code best practices

• Passion for mentoring and fostering growth in less experienced engineers

Benefits

• Work with a cutting-edge analytics and ML platform

• Influence the data strategy and shape central data models

• Mentorship and collaboration opportunities within a high-performing team

• Exposure to the full data stack, from pipelines to BI and ML

• Competitive salary and professional development opportunities

To Apply for this Job Click Here

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DIRECTOR OF CREDIT RISK – ECM

UP TO £160,000 + 20% BONUS

LONDON

An exciting unsecured lending Fintech company is currently hiring for a Director to lead their Existing Customer Management programme. This role will build out a team for ECM within the business and work very closely with the Director of Acquisitions and Director of Collections.

This role is an excellent opportunity to move into a fast-paced environment and take on real responsibility for business decisions and grow a small team.

This position can also be a step below at head of level.

THE ROLE

You can expect to be involved in the following day to day:

• Own overall performance of a consumer credit card portfolio, including commercial, risk, and customer outcomes.
• Design and optimise customer lifecycle, segmentation, credit limit, and decisioning strategies.
• Drive data-led change initiatives, including scorecard, policy, and decision engine enhancements.
• Partner cross-functionally to improve acquisition, in-life management, collections, and customer engagement outcomes.
• Lead, develop, and set clear standards for a high-performing team.

SKILLS AND EXPERIENCE

• Credit Cards experience is a must
• Must have owned and ran an ECM function for a lender
• Strong numerical degree

SALARY AND BENEFITS

• Up to £160,000 base salary
• 20% Bonus
• Private Medical
• Enhanced pension contribution

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

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SENIOR MARKETING ANALYST (MMM/ICREMENTALITY)

UP TO £55,000 – £65,000 + BENEFITS

LONDON

THE COMPANY

A role as a Senior Marketing Analyst, within a household brand name in the entertainment space. This company are at the forefront of Marketing Effectiveness using the most advanced techniques across MMM, Econometrics, ML, AI and more. This is an opportunity to work amongst talented individuals across a wide range of projects in a fast-paced environment.

THE ROLE

You will be working on the following;

• Working with global stakeholders to steer marketing effectiveness strategy
• Using econometric/MMM methods to analyse marketing effectiveness and give essential recommendations
• Using tools such as SQL, Python or R
• Building technical models from scratc
• Embedding MMM and Econometric learnings into tangible outcomes

YOUR SKILLS AND EXPERIENCE

The successful Senior Marketing Analyst, (MMM, Client-side) will have the following skills and experience:

• Experience building MMM models from scratch in either R or Python
• Running incrementality tests to improve marketing effectiveness
• Strong SQL for data manipulation
• Good understanding of marketing effectiveness
• Good communication and stakeholder skills

THE BENEFITS

The successful Senor Marketing Analyst, (MMM, Client-side) will receive a salary between £55,000 to £65,000 and an extensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

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Founding Data Engineer

London – Hybrid (3 days) – £70,000-£80,000 + meaningful equity

Company

Our client is a London-based, well-funded startup specialising in analytics and predictive ML models. They help mobile apps optimise ad spend by analysing behavioural data and delivering predictive signals for high-value conversions. As the first data engineer, you’ll work directly with the founders to build core data infrastructure that powers real business impact.

Responsibilities

As the founding Data Engineer, you will own the design and implementation of data pipelines and infrastructure, including:

• Build production ETL pipelines processing millions of mobile analytics events from MMPs like AppsFlyer and Adjust
• Engineer features for ML models, including temporal patterns, user behaviour sequences, and campaign attribution
• Ensure data quality via validation, deduplication, schema checks, and defensive programming
• Optimise pandas/Polars pipelines for performance at scale
• Handle messy real-world data: duplicates, nulls, schema drift, and out-of-order events
• Build and orchestrate pipelines using Prefect and monitor BigQuery operations
• Establish CI/CD practices and maintain clean, maintainable code
• Integrate APIs with MMPs and advertising platforms, and collaborate with data scientists to productionise ML models
• Set data quality standards and influence the technical strategy for the platform

Requirements

• 4-6+ years of building production data pipelines with measurable business impact
• Deep expertise in Python, SQL, and pandas, with experience in memory optimisation and vectorisation
• Experience managing messy real-world data and maintaining high data quality standards
• Strong code quality practices (e.g., ruff, mypy, pytest, SQLFluff, pre-commit)
• Right to work in the UK and ability to work 3 days/week from Central London office
• Strong problem-solving skills, attention to detail, and ability to work independently
• Experience with workflow orchestration (Prefect, Airflow, Dagster), cloud data warehouses (BigQuery, Snowflake), or backend Python frameworks (Django, FastAPI) is a plus

Benefits

• 25 days annual leave plus bank holidays
• Meaningful equity options as the first engineering hire
• Flexible working: 3 days/week in London office, remote otherwise
• Learning budget for courses, conferences, and professional development
• Direct founder-adjacent experience with strategic input
• Ownership of core systems from near-scratch with full autonomy
• Immediate impact: your code drives production outcomes and company revenue
• Opportunity to shape engineering culture and grow with the company

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Senior Credit Strategy Analyst

Up to £80,000

Hybrid

London

The Company

I am hiring a Senior Credit Strategy Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit risk strategy experience to focus on driving business growth and profitability using tools like SQL and Python alongside your credit commercial background

The Role

As a Senior Credit Strategy Analyst, you will be:

• Developing new insights to drive optimisation of credit risk strategies.
• Detecting new trends on customer data to develop wider business strategies
• Developing credit risk strategies for Acquisitions and Existing Customers.
• Working with senior leadership to implement/improve strategy.
• Using SQL and Python daily for strategy development

Your skills and experience

To be successful as a Senior Credit Strategy Analyst, you will need:

• Experience as a credit risk strategy analyst
• Experience working in a fast-paced environment
• Experience developing credit risk strategies for Acquisitions and/or Existing Customer
• Experience working with SQL and Python
• STEM Degree from a top university

Benefits

Up to £80,000 + Benefits

To Apply for this Job Click Here

To Apply for this Job Click Here

PRODUCT ANALYST

SALARY UP TO £60,000

LOCATION – LONDON – HYBRID – 2 days a week in office

THE COMPANY

A global media organisation which owns and operates multiple high-traffic digital brands across sport and entertainment, attracting millions of users!

THE ROLE

This is an Analyst role focused on audience analytics, engagement, and monetisation across large-scale publishing platforms. You’ll work closely with product, editorial, commercial, and tech teams to understand user behaviour and help shape how audiences are acquired, retained, and monetised.

Key responsibilities include:

• Analysing the effectiveness of registration walls and audience capture strategies, including how interest data is collected and used
• Assessing whether premium content, paywalls, or subscription models can drive incremental revenue
• Designing and analysing A/B tests to improve engagement, relevance, and retention
• Working across multiple areas of the business as priorities evolve
• Audience forecasting and traffic modelling
• Evaluating the impact of AI-driven initiatives (e.g. content summarisation)
• Partnering with stakeholders to translate insights into practical changes, while managing expectations and pushing back where needed

YOUR SKILLS AND EXPERIENCE

• Strong SQL capability, with experience querying large-scale datasets
• Experience working with high-volume user or audience data
• Background in media, publishing, agency, or similarly fast-paced digital environments preferred
• Confident working with web analytics tools (GA experience beneficial)
• Comfortable holding your own with stakeholders, managing direct communication styles, and challenging assumptions
• Ability to balance technical depth with commercial and product-focused thinking

NICE TO HAVE

• Experience with cloud data warehouses (e.g. GCP)
• Python experience or interest
• Exposure to experimentation frameworks or forecasting models

BENEFITS

• Salary around £60,000
• Hybrid working: two days per week in a Central London office
• Core collaboration hours with flexibility around start and finish times
• Opportunity to work on globally recognised platforms with significant scale and data complexity
• Join a growing analytics function with exposure to product, media, and commercial strategy

To Apply for this Job Click Here

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DevOps ENGINEER

£45,000 + BENEFITS

LEEDS (Hybrid)

Looking to sharpen your skills in Azure, work with emerging AI tools, and build cloud infrastructure that scales across modern data platforms?

THE COMPANY:

I’m working with a central data function in financial services that’s building a high-performing platform team at the core of their data strategy. With a strong push towards modern cloud architecture, they’re expanding their infrastructure capabilities and are looking for a DevOps Engineer to help scale and support new tools and systems.

THE ROLE:

You’ll work across infrastructure build, automation, and deployment, while collaborating closely with data and platform teams to support scalable, cloud-native solutions. You’ll also get exposure to cloud-based AI tools as they’re integrated into the environment.

• Support infrastructure build and deployment pipelines
• Automate infrastructure using Terraform (IaC)
• Collaborate with Data & Platform teams to scale cloud infrastructure
• Help integrate AI tooling from Microsoft/Azure into the platform

YOUR SKILLS AND EXPERIENCE:

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

• Experience/exposure with Azure
• Hands-on Terraform experience (IaC mindset is essential)
• Experience with CI/CD tools

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £45,000 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

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DIGITAL ANALYST (WEB)

UP TO £50,000 + BENEFITS

LONDON

This is an exciting opportunity to work within a leading food & beverage brand! You will be working to optimise their marketing and web analytics.

THE COMPANY

As a Digital Analyst in this leading beauty brand you will have an exciting opportunity to work in a wider data team, delivering high-impact projects. This company are a household brand name and would be well-recognised in the beauty market.

THE ROLE

As a Digital Analyst, you can be expected to be involved in the following:

• UX analysis – Looking at how customers interact with the site/app and identifying areas for improvement.
• Competitor data – There’s currently little in place, so this person could take ownership of bringing in competitor insights.
• Website improvements – The new site launched a few years ago-how can it be optimised further?
• Peak trading analysis – Deep dives into peak periods to understand performance and opportunities.Brand reporting – Going beyond just onsite data to look at market share, stock availability, and other key brand metrics.
• Market share tracking – Rather than just pulling and manipulating data, this role will be involved in plugging insights into dashboards.
• Customer analysis – A big focus on getting under the skin of customer behaviour.
• Collaboration – Working closely with teams across the business, building strong relationships and keeping communication clear.
• Working with the GTM / Tag Management team
• Reporting & Power BI – There’s a separate Power BI team who build dashboards, but they don’t currently integrate with GA data-this needs joining up.

YOUR SKILLS AND EXPERIENCE

The successful Digital Analyst will have the following skills and experience:

• Google Analytics (GA) – Strong understanding of GA to drive insights and integrate with reporting.
• BigQuery & SQL – Experience exporting GA data into BigQuery to support dashboard creation and deeper analysis.
• Power BI – Preferred, but open to experience with other reporting tools.
• Google Tag Manager (GTM) – An understanding of tagging is ideal but not essential
• Digital & Ecommerce Data Expertise – Experience working with web and app data, ideally within a digital or ecommerce setting.

THE BENEFITS

The successful Digital Analyst will be looking to earn up to £50,000 with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

EMAIL MARKETING MANAGER

LOCATION – LONDON – 3 days a week in the office

UP TO £50,000

THE COMPANY

A major UK real estate group with over 80 different brands is extending its email marketing and content team, and this is a critical hire!

THE ROLE

Lead email strategy and delivery across a large portfolio of consumer property brands, managing high-volume lifecycle communications and a small team.

You will be involved in:

• Planning, executing, and optimising email activity across 90% of group brands
• Managing a team of 5 (mix of senior and junior execs)
• Maintaining & improving lifecycle and triggered journeys (across multiple platforms)
• Segmentation, personalisation and BAU communications
• Ensuring compliance for regulated communications (mortgage/legal services)
• Owning performance reporting and continuous improvement
• Working closely with CRM leadership to shape best practice and process

YOUR SKILLS AND EXPERIENCE

• Hands-on email experience in fast-paced B2C environments
• HTML experience is a plus
• Proven campaign delivery and lifecycle experience
• High attention to detail and quality control
• Strong stakeholder communication and performance reporting
• Experience managing or mentoring email specialists
• Familiarity with analytics/reporting tools (Power BI ideal)
• GDPR/regulated-industry experience highly advantageous

BENEFITS

• Salary up to £50,000
• Hybrid working
• Great opportunity for ownership and progression

To Apply for this Job Click Here

To Apply for this Job Click Here

PRODUCT ANALYST

HYBRID – LONDON – 1 day a week in the office

SALARY – UP TO £65,000

ABOUT THE COMPANY

A well known online marketplace with over 40 million users has been growing since it was founded in 2011, and is continuing on this path in 2026!

THE ROLE

As a Product Analyst you will:

• Use insight to understand user behaviour, friction and value drivers
• Partner closely with product teams to solve problems and shape strategy
• Define core product metrics and ensure accuracy and adoption across teams
• Lead experimentation design and uplift analysis to drive continuous improvement
• Build dashboards and self-serve tools for faster decision-making
• Deliver clear, commercially aligned recommendations to senior stakeholders
• Maintain a structured knowledge base of product insights and learnings
• Deliver experimentation roadmaps and hypothesis-driven product improvements

YOUR SKILLS & EXPERIENCE

• Strong SQL with hands-on experience analysing product data
• Exposure to dbt and version-controlled analytics workflows
• Python for deeper analysis and exploration
• Experience with modern BI tools (Lightdash / Looker or similar)
• Strong communication and data storytelling
• Background in product analytics in consumer-facing digital businesses

BENEFITS & SELLING POINTS

• Salary up to £65,000
• Hybrid Working
• Great opportunity to join a growing team and business

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