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Data Engineer

Location: London (Hybrid – 3 Days in Office)

Salary: £75,000

Be the backbone of dynamic pricing and cloud-driven insights, where your expertise turns data into a competitive edge.

The Opportunity

This is your chance to play a pivotal role in a business navigating an exciting transformation. You’ll be the go-to expert ensuring critical data systems run seamlessly while shaping the future of analytics and pricing strategies. Expect hands-on work with modern data tools, cloud infrastructure, and dynamic models that directly influence commercial decisions.

You’ll collaborate across teams, solving complex challenges and driving smarter insights that impact revenue growth. If you thrive on autonomy and want to make a visible impact during a high-stakes period, this is the opportunity for you.

Role and Responsibilities

You’ll take ownership of maintaining and enhancing the data warehouse and dynamic pricing model that underpin key commercial decisions. This includes managing robust data pipelines, extracting inputs via Python-based tools, transforming data with SQL, and orchestrating workflows using Airflow. You’ll work with cloud infrastructure following Infrastructure-as-Code principles and support CI/CD deployments to ensure scalability and reliability.

Additionally, you’ll prepare and manage PowerBI semantic models, enabling clear and actionable insights for stakeholders. Beyond maintenance, you’ll collaborate on new dashboards, data queries, and migration projects during a critical transformation period.

Interview Process

1. Introductory Conversation
2. Technical Task Presentation and Conversation

Be the driving force behind robust data systems and dynamic analytics during a critical transformation, apply now.

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Senior Data Ops Engineer

Based: Leeds – hybrid

Salary: up to £62,000

I’m partnered with an established FS company who are scaling their cloud-native data platform and building a modern, centralised data function to better support a wide community of Data Scientists, Analysts, and federated Data Engineers across the organisation.

They are looking for a Senior DataOps Engineer to help shape how data pipelines are run, monitored, governed, and optimised at scale.

This is an opportunity to join a growing team working at the heart of the organisation’s data transformation, improving platform efficiency, enabling self-service, and ensuring data pipelines operate with the same discipline as production software.

The Role

As a Senior DataOps Engineer, you’ll take a strategic, high-level view of the data platform while still diving deep when needed. You will focus on observability, automation, pipeline performance, operational excellence, and cloud cost optimisation.

You’ll work cross-functionally with Data Engineering, DevOps, and FinOps teams, helping ensure that data services are reliable, scalable, secure and cost-effective, and that federated teams across the organisation can self-serve with confidence.

What You’ll Be Doing

• Taking an overview of how pipelines run across the platform, improving performance and throughput
• Enhancing observability and monitoring across Azure-based data workloads
• Identifying bottlenecks and opportunities to streamline operational processes
• Using scheduling/orchestration tools to optimise workflows and improve run times
• Treating data pipelines like production-grade software with robust monitoring, automation, and scalability in mind
• Supporting incident management and helping federated teams resolve issues efficiently
• Driving efficiency through automation and reduction of manual operational overhead
• Working with FinOps practices to optimise spend and evaluate cost-performance trade-offs
• Advocating for better platform usage, adoption, and operational best practices

Tech Stack & Skills

Essential

• Strong experience working with Azure cloud platform
• Background in data engineering and building/maintaining data pipelines
• Experience with pipeline monitoring, observability, and incident troubleshooting
• Strong automation mindset and ability to build resilient, self-healing data workflows

Nice to Have

• Knowledge of FinOps principles and cloud cost optimisation
• Experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Airflow
• Exposure to containerisation tools (Kubernetes, Docker)
• Experience with data cataloguing tools
• Familiarity with unit testing in data pipelines
• Awareness of MLOps practices

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Senior Data Engineer

Remote first (occasional travel to office)

Salary: up to £95,000

I’m partnered with a fast-scaling retailer who are looking to bring a Senior Data Engineer into their team. With over 40M+ global users and rapid year-on-year growth, this organisation is investing heavily in data to power smarter decisions, richer insights, and long-term product innovation.

You’ll work closely with internal teams to design, build, and optimise data models and ingestion pipelines, contributing to a new data lake and a robust gold-layer architecture. You’ll also have the chance to shape ML-ready pipelines and mentor more junior data engineers.

What you’ll be doing

• Building scalable data models and ingestion pipelines for a new data lake
• Working across multiple data domains and supporting internal partners
• Designing and delivering high-quality datasets for BI, insights, and analytics use cases
• Collaborating with product, engineering, and analytics stakeholders
• Supporting third-party data ingestion workflows
• Owning end-to-end delivery of production-grade data solutions
• Potential involvement in ML pipeline development
• Mentoring less experienced team members and fostering a culture of knowledge sharing
• Communicating clearly and effectively with diverse technical and non-technical audiences

Tech stack

• Python, Airflow, Terraform
• Azure (but open to other cloud experience)
• DBT (nice to have)
• Exposure to ML pipelines beneficial

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Senior Product Data Scientist – Up to £85k + Benefits | London (Hybrid)

A major consumer marketplace is hiring a Senior Product Data Scientist to lead analytics and experimentation across a high-impact product area. You’ll work closely with Product, Engineering and ML teams, owning technical discovery, shaping strategy, and driving experimentation at scale.

What you’ll do

• Lead analytics for a core product vertical

• Own technical discovery and experimentation frameworks

• Design, run and deeply analyse A/B tests (3-5 per quarter)

• Mentor other analysts (no line management)

• Influence product & business strategy end-to-end

• Enable scalable, self-serve analytics

What you’ll bring

• Strong SQL (daily use)

• Python experience (nice to have)

• BI tools (Looker/PowerBI/Tableau)

• Experience with Optimizely or similar testing platforms

• Excellent communication + stakeholder influence

• Hands-on, highly technical, commercially minded

Why apply?

• Up to £85k base

• 1 day a week in a modern London office

• Outstanding benefits

Perfect for someone who wants technical depth, strategic influence and high ownership-without people management.

Find out more and apply via the link below.

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⭐ Product Data Scientist – Up to £65k + Benefits | London (Hybrid)

Join a fast-growing, community-driven marketplace on a mission to make fashion circular. We’re looking for a Product Data Scientist who can turn complex data into actionable product insights, drive experimentation, and influence strategy across a major consumer platform.

What you’ll do

• Own analytics for a core product area

• Shape product & commercial strategy with data-led insights

• Design, run, and evaluate A/B tests end-to-end (3-5 per quarter)

• Partner with Product, Engineering & ML teams

• Help build self-serve analytical capabilities

What you’ll bring

• Strong SQL (day-to-day level)

• Python exposure (nice to have)

• Experience with BI tools (Looker/PowerBI/Tableau)

• Comfort working with ETL workflows

• Strong communicator with commercial awareness

• Confident presenting to non-technical stakeholders

Why apply?

• Up to £65k base

• 1 day a week in a central London office

• Exceptional benefits

If you’re driven by experimentation, impact and product thinking, this is a brilliant next step.

Find out more and apply via the link below.

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Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to meet the wider team.

Find out more and apply via the link below.

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Senior Commercial Data Analyst
Location: London (Hybrid, 1-2 days per week)
Salary: £42,700-£53,700 + annual bonus

A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines.

What You’ll Do:

• Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy

• Build dashboards and reporting tools (Power BI or similar) and support the rollout of a new BI platform

• Translate complex data into actionable commercial recommendations across pricing, product and market performance

• Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth

• Analyse deal value, product performance, customer behaviour and digital/content trends

• Support budgeting, forecasting and wider commercial planning

• Build automated reporting and enable self-serve analytics across the business

Example Projects:

• Migrating legacy reports into a modern BI platform and improving reporting structures

• Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches

• Implementing forecasting and predictive analytics within dashboards

• Supporting CRM and commercial system integrations and helping drive adoption across global teams

• Creating reporting frameworks from scratch to track market trends, revenue performance and customer engagement

What You’ll Need:

• 3-5 years’ experience in analytics or commercial insights

• Strong SQL skills; Python experience desirable

• Experience building dashboards in Power BI, Tableau or similar, with end-to-end ownership

• Strong understanding of relational data structures and data modelling

• Confident communicator able to translate data into commercial action for non-technical stakeholders

• Proactive, curious, and comfortable operating as the sole data specialist in a team

Ideal Backgrounds:
Digital, media, retail, FMCG, tech or similar, ideally from smaller or growing data teams.

Interview Process:

1. Initial conversation (CV anonymised)

2. Technical task

3. Task presentation to commercial stakeholders

4. Final interview with senior leadership

Find out more and apply via the link below.

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Senior Data Analyst – Customer Experience

£65,000 + 10% Bonus + Equity (Exit Expected in 1-2 Years)

Fully Remote (Quarterly meet-ups in London/Brighton – expensed)

We’re partnered with a high-growth, mission-led tech company in the subscription and marketplace space, backed by recent investment and valued at over $100M. They’re scaling fast, expanding their product and data capabilities, and preparing for an exciting exit event within the next couple of years – meaning the equity on offer has real value.

This is a key hire in a small but growing data team that’s helping the business become more data-driven, shaping how product and customer decisions are made. You’ll be joining a close-knit, passionate team that truly loves what they do and the community they’re building.

The Role

You’ll join as a Senior Data Analyst focused on Member / Customer Experience, working closely with Product, UX, and Engineering teams. Your work will directly impact metrics like churn, renewal rates, and lifetime value, driving insights that improve the customer journey from start to finish.

You’ll:

• Partner with product teams to run and analyse experiments and validate hypotheses.

• Use data to understand behaviours that drive renewals and retention.

• Deliver compelling storytelling and actionable insights that shape strategy.

• Help define what great data culture looks like across the business.

What We’re Looking For

• Advanced SQL skills.

• Proven experience in product and customer analytics – experimentation, churn/LTV/retention analysis.

• Background in subscription-based, marketplace or tech-driven environments.

• Confident communicator and self-starter, able to influence non-technical stakeholders.

• Experience with tools like Mode, Amplitude, DBT, Python or R is beneficial (not essential).

Why Apply?

• Equity with upcoming exit – real potential for payout in 1-2 years.

• Fully remote with a collaborative, friendly, pet-loving culture.

• Fast-growing environment with opportunities for personal and career growth.

• Be part of a team that’s building something meaningful and global.

Interview process:

• Stage 1: 30-min intro with hiring manager

• Stage 2: Case study + short live SQL exercise

• (Optional) Stage 3: Meet the wider team

Find out more and apply via the link below.

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Senior Email Marketing Manager

Up to £50,000 | Hybrid – 3 days a week in London

Are you a hands-on email marketer who loves leading from the front? This is a fantastic opportunity to take ownership of email strategy and delivery across multiple high-profile consumer brands within one of the UK’s leading property groups.

The Opportunity

We’re looking for a Senior Email Marketing Manager to lead a growing team and drive best practice across high-volume, multi-brand campaigns. You’ll play a key role in shaping customer journeys, optimising lifecycle activity and improving performance across every stage of communication.

What You’ll Do

• Lead and mentor a team of five across email strategy, delivery and optimisation

• Manage large-scale B2C campaigns across 80+ brands

• Oversee lifecycle, triggered and BAU email programmes across multiple platforms (Dotdigital, BriefYourMarket, XMPIE)

• Drive testing, segmentation and personalisation to improve engagement

• Report on campaign performance and present insights to senior stakeholders

• Maintain compliance and GDPR standards across regulated communications

• Champion continuous improvement and innovation, including automation and AI opportunities

About You

• Proven experience managing end-to-end email marketing in a fast-paced B2C environment

• Strong people leadership and mentoring skills

• Confident working with data and campaign analytics tools (Power BI or similar)

• Comfortable working across multiple brands and stakeholders

• Excellent attention to detail and copy accuracy

• Experience in regulated or compliance-heavy sectors preferred

• Hands-on and proactive, with a collaborative, in-office leadership style

The Details

• Salary: Up to £50,000

• Location: Hybrid – 3 fixed office days (Tues/Weds/Thurs) in London

• Team: 5 direct reports across senior and junior exec levels

Join a collaborative marketing team driving the next phase of digital and CRM transformation – shaping how millions of customers engage with one of the UK’s most recognisable property brands.

Find out more and apply via the link below.

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Senior Customer Analyst – CDM
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst to join a leading global online marketplace. This role focuses on understanding, optimising, and growing the customer base through data-driven insights, particularly around loyalty, retention, and acquisition.

What You’ll Do:

• Analyse customer behaviour across the lifecycle using SQL and modern analytics tools.

• Deliver actionable insights through dashboards and storytelling (Tableau/Looker).

• Run and evaluate A/B and multivariate tests to inform marketing and growth strategies.

• Support growth targets by identifying opportunities to move customers through lifecycle stages.

• Collaborate with marketing and senior stakeholders to influence customer strategy.

What We’re Looking For:

• Advanced SQL and experience with a dashboarding tool.

• Proven experience with customer analytics projects: single customer view, segmentation, churn, acquisition, LTV.

• Desirable: Python for stats analysis, experience designing and running A/B tests.

• Experience in e-commerce or tech environments with modern data stacks is a plus.

Find out more and apply via the link below.

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