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Senior Data Architect – AWS

$170,000-190,000

The ideal candidate brings a combination of deep technical expertise, architectural leadership, and the ability to align technology solutions with evolving business objectives. This role will play a key part in modernizing data ecosystems and driving long-term data strategy.

Key Responsibilities

• Define and maintain current-state and future-state data architecture roadmaps, including migration and modernization strategies.
• Develop architectural recommendations that balance scalability, performance, cost, security, and implementation timelines.
• Partner with stakeholders to align data capabilities with strategic business initiatives and operational goals.
• Design and implement robust data integration frameworks supporting batch, streaming, and event-driven architectures.
• Architect scalable, high-performance data pipelines and distributed data processing solutions within AWS environments.
• Establish enterprise data models, standards, and reference architectures across operational and analytical platforms.
• Evaluate and integrate modern AI and machine learning enablement technologies, including vector-based data solutions, retrieval frameworks, and large language model architectures.
• Promote automation, infrastructure-as-code, CI/CD, and reusable engineering patterns to improve efficiency and consistency.
• Lead data governance, metadata management, data quality, and security initiatives throughout the data lifecycle.
• Provide technical leadership, mentorship, and architectural guidance to engineering and data teams.
• Collaborate across technology and business functions to drive innovation and continuous improvement.

Required Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
• 15+ years of experience in data architecture, data engineering, or enterprise data management.
• Extensive experience designing and implementing cloud-based data platforms, preferably within AWS.
• Strong background in enterprise data modeling, data integration, and data architecture frameworks.
• Experience with large-scale data warehouse, data lake, or lakehouse architectures.
• Expertise in streaming and event-driven technologies, including Apache Kafka or similar platforms.
• Knowledge of modern AI-enabled data architectures, including vector databases, retrieval mechanisms, and generative AI implementations.
• Experience establishing enterprise standards, governance frameworks, and data quality practices.
• Proven ability to lead technical strategy and influence cross-functional stakeholders.
• TOGAF certification or equivalent enterprise architecture framework experience preferred.

Preferred Technical Skills

• AWS data and analytics services
• Cloud-native architecture and modernization
• Data lakes, lakehouses, and data warehouses
• Apache Kafka and streaming technologies
• Data modeling and metadata management
• Data governance and security frameworks
• Infrastructure as Code (IaC)
• CI/CD and DevOps practices
• Generative AI, RAG, vector databases, and orchestration frameworks
• Enterprise architecture methodologies

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BI Developer

Up to £40,000

Hybrid – West Midlands (4x days per week)

Looking for an opportunity to make a real impact in a growing data function? This Power BI Developer role offers the chance to work on a major reporting transformation, helping to shape how data is used across the business. You’ll join a collaborative team, gain exposure to Microsoft Fabric, and play a key role in delivering high-quality insights to stakeholders.

The Company

They are a well-established UK business with a large customer base and a broad product portfolio. Following significant investment in technology and a recent ERP implementation, they are continuing to modernise their data and reporting capabilities. Data is a key strategic focus, and this role sits within a growing Business Transformation team dedicated to improving decision-making across the organisation.

The Role

You will work alongside experienced data professionals to develop reporting solutions and support the evolution of a modern data platform.

Responsibilities include:

• Designing, developing and maintaining Power BI dashboards, reports and data models
• Creating DAX measures, visualisations and row-level security solutions
• Contributing to the development of a new Microsoft Fabric data platform
• Delivering ad hoc analysis and actionable insights for business stakeholders
• Validating data, documenting assumptions and supporting reporting quality improvements
• Working closely with stakeholders to translate business requirements into effective reporting solutions
• Supporting the wider data transformation programme through accurate and timely reporting

Your Skills & Experience

• Strong commercial experience developing reports and dashboards in Power BI
• Solid SQL skills for querying and analysing data
• Experience writing and optimising DAX measures
• Advanced Excel skills
• Ability to communicate technical concepts clearly to non-technical audiences
• Strong organisational skills with the ability to manage multiple priorities
• A detail-oriented approach to data validation and reporting accuracy

Desirable experience:

• Exposure to Microsoft Fabric
• Experience within wholesale, distribution or a similar operational environment
• Power BI certification (PL-300)
• Microsoft Fabric certifications such as DP-600 or DP-700

What They Offer

• Salary up to £40,000
• Competitive benefits package
• Exposure to Microsoft Fabric and modern data te

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Senior Subscriber Growth Analyst
London – hybrid 4x in office a week
Up to £70,000

This is an excellent opportunity to join a leading global consumer subscription business at a pivotal stage of growth. Working within a high-profile analytics function, you will help shape subscriber strategy across the EMEA region, delivering insights that directly influence commercial decision-making, customer growth, and retention.

The Company
They are a globally recognised entertainment and consumer subscription organisation with millions of customers across international markets. With continued investment in data, analytics, and AI-driven decision-making, analytics plays a central role in driving business performance.

The organisation has built a collaborative analytics environment where teams partner closely with commercial, marketing, content, and regional stakeholders to solve complex business challenges. This role sits within a specialist Subscriber Growth Analytics team focused on understanding customer behaviour and accelerating growth across EMEA.

The Role
As a Senior Subscriber Growth Analyst, you will use data to understand customer acquisition, retention, engagement, and lifetime value, helping senior leaders make informed commercial decisions.

Key responsibilities include:

• Delivering subscriber growth and retention analysis across the EMEA region
• Providing commercial recommendations to support acquisition, engagement, and customer lifetime value initiatives
• Building and maintaining dashboards, reports, and visualisations to monitor key business performance metrics
• Presenting insights and recommendations to senior stakeholders across multiple functions
• Designing analytical frameworks and measurement approaches to evaluate business performance
• Partnering with analytics, marketing, content, and regional teams to align priorities and deliver impactful analysis
• Supporting the development of a data-led culture through clear communication of analytical findings
• Identifying opportunities to improve processes, automation, and analytical workflows

Your Skills & Experience

• Strong SQL skills with experience writing and optimising complex queries
• Commercial customer analytics experience covering acquisition, retention, churn, engagement, and lifetime value
• Experience building dashboards and data visualisations using tools such as Tableau, Power BI, Looker, or similar
• Excellent stakeholder management and communication skills, with the ability to present insights clearly to non-technical audiences
• Strong analytical thinking and the ability to translate data into actionable recommendations
• Comfortable working independently and influencing senior business stakeholders
• Understanding of statistical techniques and experimentation methodologies is advantageous
• Experience with Python or R would be beneficial
• Experience within a subscription, membership, or recurring revenue business is highly desirable
• Interest in leveraging AI to enhance analytics workflows and decision-making is welcomed

What They Offer

• Excellent employee benefits package
• Discounts across a range of products and experiences
• Strong career development opportunities within a growing analytics organisation
• Exposure to senior leadership and high-impact strategic projects across international markets

How to Apply
If you are passionate about customer analytics, subscriber growth, SQL, and using data to influence commercial strategy, apply today to learn more about this Senior Subscriber Growth Analyst opportunity in London.

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Data Engineer

Location: Redwood City, CA (Hybrid – Tuesday, Wednesday, Thursday)

Salary: $120-150k base + Equity

Harnham has partnered with a Series B PropTech startup on a mission to make quality housing more affordable and accessible. Fresh off a new funding round and backed by leading investors, the company is scaling operations and entering new markets. With that growth, their data demands have outpaced the current team, and they now need a dedicated Data Engineer.

The Role

This hire will own the company’s data from end to end: understanding the source systems, building and maintaining the core datasets the business trusts, and turning raw operational data into clear, decision-ready outputs. They will work closely with Finance, Operations, and leadership to keep data accessible and useful as the company grows.

Responsibilities:

• Own the data pipelines: take responsibility for a portfolio of existing production ETL pipelines, handling daily maintenance, monitoring, and reliability so stakeholders can trust the data
• Design and build new pipelines: architect scalable ETL/ELT workflows that ingest data from new sources and grow with increasing data volume and complexity
• Build and own core datasets: design and maintain the sources of truth for business reporting and decision-making
• Master the source systems: ERP, CRM, project management, and finance platforms (NetSuite, Salesforce, and similar operational tools), understanding how data maps to real business processes
• Democratize data access: deliver well-documented, self-service-ready data products for Finance, Ops, and go-to-market teams
• Expand analytical coverage: identify opportunities for new tables, metrics, and derived datasets that unlock insight
• Set the standards: evolve data modeling, testing, documentation, and ownership practices from the ground up

The Ideal Candidate

• 2-4 years as a Data Engineer, building core datasets and supporting business teams
• Proven ETL and data pipeline ownership: experience building, maintaining, and monitoring production pipelines end to end, not just contributing to someone else’s
• Advanced SQL and strong data modeling skills, with experience designing analytical models that support real reporting and analytics use cases
• Hands-on experience shipping scalable cloud data solutions (AWS, Databricks, dbt) across methodologies like dimensional modeling, data marts, or medallion architecture
• Comfort tracing data through source systems and multiple layers of transformation
• A fast learner’s mindset: thrives in environments where priorities evolve and there’s always a new system or domain to pick up

Bonus points for:

• Integrating financial/ERP/CRM/payment systems (NetSuite, Salesforce, or similar)
• Aggregating from diverse sources, including APIs, geospatial imagery, unstructured web data, and public government records
• Exposure to feature engineering, forecasting, or AI-adjacent analytics
• Curiosity about AI tooling. No expertise needed, just a willingness to work smarter with it

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BI Developer

West Midlands (4x Days a Week On-Site)

£35,000-£40,000

The Company

A leading name in the industrial distribution and metalworking sector, supplying 10,000+ customers with a catalogue of over 100,000 products across tools, MRO, and PPE, is looking for a BI Developer to join their growing data team; with more than 250 employees, the business has built a strong reputation through its customer-first approach, next-day delivery, and continued investment in technology. As part of an ongoing data transformation programme, they are enhancing their reporting capability using SQL, Power BI, DAX, and Microsoft technologies to provide faster, more reliable business intelligence across the organisation. This is a fantastic opportunity for a BI Developer looking to take ownership of reporting solutions and work closely with stakeholders across multiple business functions.

The Role

As the BI Developer, you’ll be responsible for designing, developing, and maintaining Power BI dashboards and reports that provide meaningful insight across the business. Working closely with commercial, finance, operations, and supply chain teams, you’ll translate business requirements into scalable reporting solutions while ensuring data accuracy and performance.

Key responsibilities include:

• Developing and maintaining interactive dashboards and reports in Power BI
• Writing and optimising SQL queries to extract, transform, and validate data
• Building robust data models and creating DAX measures to support business reporting
• Working with stakeholders to gather reporting requirements and deliver BI solutions
• Supporting the ongoing development of the company’s reporting environment and data infrastructure
• Ensuring reporting is accurate, automated, and aligned with business objectives

Your Skills and Experience

• Strong SQL skills with experience querying large datasets

• Commercial experience developing reports in Power BI

• Good knowledge of DAX and data modelling principles

• Experience gathering requirements and working with business stakeholders

• Strong problem-solving skills and attention to detail

• Experience within distribution, manufacturing, retail, or another commercial environment would be advantageous

The Benefits

• £35,000-£40,000

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Data Analyst (FTC – 6 Months)
London or Oxford (Hybrid 2-3 days) | Up to £55,000

No sponsorship offered – must have full UK working rights

An exciting opportunity has arisen for a Data Analyst to join a highly data-driven organisation on an initial 6-month fixed-term contract. This role offers the chance to support a business-critical regulatory programme, working with large and complex datasets to deliver accurate analysis, reporting, and data extracts. If you thrive in a SQL-focused environment and enjoy working on high-impact projects where precision matters, this could be an excellent fit.

The Company

They are an established, technology-led financial services organisation with a strong emphasis on data and analytics. Operating within a regulated environment, they use data to support critical business decisions, customer outcomes, and compliance requirements.
Their analytics function works across the organisation, partnering with teams to provide insights, reporting, and operational support. Data plays a central role in their decision-making, creating an environment where analytical expertise is highly valued.

The Role

As a Data Analyst, you will join a collaborative analytics team supporting a major regulatory programme. This is a hands-on position focused on extracting, manipulating, and analysing data to support reporting, operational processes, and stakeholder requirements.

Key responsibilities include:

• Supporting a large-scale regulatory and customer remediation programme
• Writing, maintaining, and optimising SQL queries for data extraction and analysis
• Processing and fulfilling high volumes of data requests
• Producing accurate data extracts, reports, and management information
• Working with large and complex datasets to identify relevant information
• Ensuring data quality, accuracy, and auditability in all outputs
• Collaborating with stakeholders across analytics and wider business functions
• Supporting reporting requirements within a regulated environment

Your Skills & Experience
You will have:

• Strong commercial SQL experience with advanced data manipulation and querying skills
• Experience working with large datasets and complex extraction requests
• Excellent attention to detail and a highly accurate approach to analytical work
• Experience delivering reporting and data outputs to business stakeholders
• The ability to work effectively within a fast-paced, delivery-focused environment
• Availability to start within a reasonable timeframe

Desirable experience:

• Financial services experience
• Exposure to regulated or compliance-driven environments
• Experience working with complaints, regulatory, or customer remediation datasets
• Tableau or other dashboarding and visualisation tools

What They Offer

• Salary up to £55,000
• 6-month fixed-term contract
• Hybrid working with offices in London and Oxford
• Attendance in the office 2-3 days per week
• Flexibility to be based from either location
• Travel expenses covered when travelling between offices for business requirements
• Opportunity to work on a high-profile regulatory programme with significant business impact
• Exposure to senior stakeholders and a highly regarded analytics function

How to Apply

If you’re a SQL-focused Data Analyst looking for a high-impact opportunity within a data-driven organisation, please apply with your CV to learn more about the role and company.

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Staff Engineer

Up to £170,000

Hybrid – London (3x days per week)

This is a rare opportunity to shape the technical backbone of a multi-entity data group undergoing significant transformation. You will operate at the intersection of engineering and strategy, building a unified AI-native data layer while working closely with executive leadership. The role offers high autonomy, direct influence on architectural direction, and the chance to hire and lead a small, high-impact team.

The Company

They are a data-focused organisation with several specialist businesses, each operating its own technology stack and culture. The strategic goal is to unify these into a single, scalable data and AI platform. Backed by investment and growth through acquisition, they are building a modern data intelligence layer that enables better product delivery and commercial performance. The environment is pragmatic, delivery-focused, and driven by technical excellence.

The Role

You will take ownership of building the group’s shared data platform and AI-native architecture. You will contribute both strategically and hands-on, with a strong focus on delivery and impact.

• Design and build a unified data layer, including entity graph, provenance, quality, and APIs
• Deliver production-ready systems and modern APIs that connect data across multiple business units
• Lead the technical integration of acquisitions, including data, access, and observability
• Hire and grow a small team of AI-native engineers, driving a high-performance delivery culture
• Define and document architectural standards and AI engineering practices
• Work closely with senior leadership, contributing to technical strategy and decision-making
• Produce clear documentation and run regular demonstrations of progress

Your Skills and Experience

• Strong commercial experience building data platforms, APIs, or data-led products at scale
• Comfortable writing production code and working across Python, TypeScript, and SQL
• Experience using modern AI tooling or agent-based development approaches
• Ability to quickly understand and assess unfamiliar codebases and systems
• Experience designing scalable architectures across multiple services or business units
• Strong communication skills with the ability to explain technical concepts clearly
• Commercial awareness, including understanding of product value, margins, and customers
• A pragmatic mindset with a focus on delivery, quality, and continuous improvement

What They Offer

• Competitive base salary
• High-impact role with direct visibility to senior leadership
• Opportunity to shape a group-wide data and AI strategy
• Autonomy to build and lead a team from an early stage
• Exposure to acquisition integration and complex data environments
• Collaborative and delivery-focused engineering culture

How to Apply

Apply with your CV to discuss this opportunity in more detail.

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Senior Data Analyst

London/Hybrid

Up to £72,000

Overview

This is an excellent opportunity for a Senior Data Analyst to join a growing data function within a well-established, data-driven organisation. You’ll play a key role in shaping how data is used across the business, partnering with senior stakeholders and delivering analytics that influence strategic decision-making.

The Company

They are a market-leading organisation operating across multiple UK locations, with a strong focus on customer experience, commercial performance, and operational excellence. Having invested heavily in their data capabilities, they have built a modern analytics environment and continue to expand their use of data to support business growth. The Data Analytics and Data Engineering teams work closely together, creating a collaborative and highly visible data function. This is an opportunity to join during an exciting period of transformation with several high-impact projects underway.

The Role

As a Senior Data Analyst, you will act as a trusted partner to stakeholders across the business, combining technical expertise with strong commercial awareness.

Key responsibilities include:

• Delivering end-to-end analytics projects from requirements gathering through to insight delivery
• Developing complex SQL queries within a cloud-based data warehouse environment
• Building and maintaining Power BI dashboards and reporting solutions
• Translating business challenges into actionable analytical solutions
• Partnering with senior stakeholders to define KPIs and measure performance
• Presenting insights and recommendations to leadership teams and executives
• Supporting a major customer data transformation programme and other strategic initiatives
• Working closely with Data Engineering, Project Management, and Transformation teams to drive business outcomes
• Identifying opportunities to improve reporting, analytics processes, and decision-making across the organisation

Your Skills & Experience

• Strong commercial experience in Data Analytics within a business-facing environment
• Advanced SQL skills, including CTEs and Window Functions
• Experience developing dashboards and reporting solutions in Power BI
• Knowledge of Microsoft Azure data environments
• Strong stakeholder management and communication skills
• Experience presenting data-driven recommendations to senior leadership
• Ability to manage multiple projects and work independently
• Strong analytical thinking and problem-solving capability

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Senior Data Analyst
London | Hybrid (4 days in office, 1 day from home) | £70,000 + Benefits

No sponsorship avaliable – must have full UK working rights.

This is an excellent opportunity for a Senior Data Analyst to join a growing Data & Analytics function within a highly commercial, data-led organisation. You’ll play a key role in shaping business decisions, partnering with senior stakeholders across the organisation, and delivering analytics projects that have genuine visibility and impact at leadership level.

The Company

This organisation operates across a large, multi-site portfolio and has built a strong reputation for delivering exceptional customer experiences through a combination of operational excellence, technology, and innovation. They have invested heavily in their data capabilities, creating a collaborative Analytics and Data Engineering environment where data is used to drive strategic decision-making across the business.
The analytics team is relatively new and continues to evolve, offering the opportunity to influence ways of working, raise the profile of analytics, and contribute to the growth of a modern, business-facing data function.

The Role

As a Senior Data Analyst, you will work closely with stakeholders across operations, finance, commercial teams, transformation, and technology to deliver actionable insights that support business performance.

Key responsibilities include:

• Leading end-to-end analytics projects from requirements gathering through to delivery and presentation
• Building meaningful insights from complex datasets to support strategic and operational decision-making
• Developing and maintaining Power BI dashboards and reporting solutions
• Writing complex SQL queries within a cloud-based data warehouse environment
• Partnering with Data Engineering teams to ensure data is accessible, reliable, and fit for purpose
• Supporting a major transformation programme focused on creating a single customer view across multiple data sources
• Working closely with project and transformation teams to define analytical requirements and measure success
• Presenting findings and recommendations to senior stakeholders and leadership teams
• Translating data into clear commercial actions that drive business value
• Championing data-driven decision making across the wider business

Your Skills & Experience

• Strong commercial experience within Data Analytics, Business Intelligence, or a related field
• Advanced SQL skills, including the use of CTEs and Window Functions
• Experience developing dashboards and reports in Power BI
• Strong understanding of the Microsoft and Azure data ecosystem
• Proven ability to manage stakeholders and build relationships across multiple business functions
• Experience delivering business-facing analytics projects from inception through to implementation
• Excellent communication and presentation skills, with the ability to explain complex findings to non-technical audiences
• Strong analytical and problem-solving capabilities with a commercial mindset
• Comfortable working independently while collaborating within cross-functional teams

What They Offer

• Salary of £70,000
• Hybrid working model with one day per week from home
• Exposure to senior leadership and executive stakeholders
• Opportunity to work on high-profile analytics and transformation programmes
• Collaborative and supportive Analytics and Data Engineering environment
• Clear opportunities for professional development and career progression
• Comprehensive benefits package

How to Apply

Apply below or email me at

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Copilot said:

Senior Data Analyst

London (Hybrid) – Up to £72,000

The Opportunity

We’re partnering with a fast-growing, innovation-led business seeking a Senior Data Analyst to join its central data function.

This is a highly visible role where you’ll work closely with senior stakeholders across finance, sales, operations, and executive leadership to deliver actionable insights that drive strategic decision-making. You’ll play a key role in shaping analytics capabilities, improving reporting, and helping the business maximise value from its data.

Key Responsibilities

• Analyse data from multiple sources to identify trends, risks, and opportunities
• Deliver actionable insights and recommendations to business stakeholders
• Design and develop reports, dashboards, and analytics solutions
• Present complex findings clearly to technical and non-technical audiences
• Partner with senior stakeholders to understand business needs and priorities
• Collaborate with data engineering and technology teams to improve analytics capabilities
• Support data governance, quality, and reporting standards
• Help drive a data-led culture across the business
• Contribute to strategic analytics roadmaps and continuous improvement initiatives

What We’re Looking For

• 7+ years’ experience in analytics, with at least 3 years in a senior analyst role
• Strong SQL skills and experience working with large datasets
• Experience delivering commercially impactful insights
• Strong understanding of data governance and data quality principles
• Experience with BI and data visualisation tools such as Power BI
• Knowledge of Python or R is advantageous
• Ability to translate complex data into clear business recommendations
• Excellent stakeholder management and communication skills
• Strong commercial awareness and problem-solving ability
• Experience working closely with data engineering and technology teams

Ways of Working

• Hybrid working environment
• Cross-functional exposure across multiple business areas
• Close collaboration with senior leadership and executive stakeholders
• Opportunity to influence strategic business decisions
• Fast-paced, high-growth environment with strong focus on innovation

Benefits

• Competitive salary and bonus potential
• Hybrid and flexible working
• Career development and progression opportunities
• Exposure to high-impact business initiatives
• Collaborative and supportive culture
• Opportunity to work with modern data and analytics technologies
• Strong focus on professional growth and continuous learning

How to Apply

If you’re a commercially minded Senior Data Analyst who enjoys turning data into strategic business decisions, we’d love to hear from you.

Apply with your CV or message me directly!

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