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Principal Software Engineer, AI

Boston, MA – Fully Remote

$240,000-260,000 Base Salary

THE COMPANY

Our client is a high-growth AI and technology business focused on helping organizations unlock value through advanced analytics, automation, and artificial intelligence. Working at the intersection of AI, business transformation, and enterprise technology, the company develops proprietary platforms that enable organizations to better understand, optimize, and improve their operations.

Backed by leadership and talent from leading technology, analytics, and consulting firms, the organization is building innovative solutions that help businesses adopt AI with confidence, delivering measurable outcomes through data-driven transformation.

As the business continues its next phase of growth, it is seeking a Principal Software Engineer to play a key role in shaping both its technology platform and engineering culture.

RESPONSIBILITIES

• Lead the technical vision, architecture, and strategic direction of a sophisticated AI-powered enterprise platform.
• Mentor and develop a multidisciplinary engineering team through code reviews, design reviews, and hands-on collaboration.
• Design and experiment with cutting-edge large language model (LLM) solutions and AI capabilities for production use cases.
• Architect and build scalable services using Python and modern AI orchestration frameworks.
• Partner closely with engineering, data, and leadership teams to design and optimize cloud-based data platforms and services.
• Build and maintain cloud infrastructure, CI/CD pipelines, security controls, and deployment processes.
• Translate complex business requirements into scalable technical solutions.
• Drive engineering excellence through testing, documentation, observability, monitoring, and best-practice development standards.
• Evaluate emerging AI technologies and identify opportunities to incorporate them into the platform roadmap.

SKILLS AND EXPERIENCE

Required

• 8+ years of professional software engineering experience, including experience operating at Technical Lead, Staff Engineer, or Principal Engineer level.
• Strong Python development experience, including production-grade applications, analytics platforms, and data pipelines.
• Hands-on experience with cloud platforms such as GCP, AWS, or Azure, including data services, infrastructure, and security management.
• Strong SQL and data modeling expertise for large-scale analytical workloads.
• Proven ability to lead projects and make architectural decisions in fast-paced, evolving environments.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
• Experience building and deploying production LLM applications using modern orchestration frameworks and multiple model providers.

Preferred

• Experience with Docker, CI/CD pipelines, and Infrastructure-as-Code.
• Familiarity with AI observability, monitoring, and evaluation frameworks.
• Previous experience in consulting, private equity-backed organizations, or high-growth technology environments.
• Background working on AI, machine learning, analytics, or enterprise transformation initiatives.

BENEFITS

• Competitive base salary.
• Meaningful early-stage equity participation.
• Health, dental, and vision coverage.
• Retirement savings plan.
• Generous paid time off.
• Flexible hybrid or remote working options.

HOW TO APPLY

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

KEY TERMS

Principal Software Engineer | Staff Engineer | Technical Lead | Python | Generative AI | LLMs | LangChain | LangGraph | Cloud Engineering | GCP | AWS | Azure | BigQuery | PostgreSQL | Data Engineering | AI Applications | Machine Learning | Software Architecture | CI/CD | Docker | Infrastructure as Code | Remote | Hybrid | Enterprise Technology | Digital Transformation | Analytics Platform | AI Platform Engineering

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Data Analytics Engineer

US Remote

$110,000 to $130,000 (no bonus and no equity)

About the Opportunity

We’re partnering with a growing travel technology company that’s investing heavily in its data capability and looking for a Data Analytics Engineer to help scale its analytics platform.

This is an opportunity to work with modern data technologies, build customer-facing analytics products, and have a direct impact on business decisions across the organization.

What You’ll Do

• Build and enhance data models, dashboards, and reporting solutions that drive business performance.

• Develop scalable analytics products and self-service reporting capabilities.

• Partner with stakeholders across the business to translate requirements into actionable data solutions.

• Analyze complex datasets to identify trends, opportunities, and strategic insights.

• Deliver high-quality reporting and analytics that support key operational and commercial decisions.

What We’re Looking For

• Experience in a Data Analytics Engineer, Analytics Engineer, BI Engineer, or similar role.

• Strong knowledge of the modern data stack, including Snowflake, Databricks, or Azure Data Lake.

• Experience with data modeling, warehousing, and end-to-end analytics delivery.

• Strong BI expertise with Looker, Tableau, Power BI, or similar tools.

• Hands-on experience with Snowflake, LookML, and Looker preferred.

• Experience building scalable reporting solutions, analytics products, or customer-facing insights platforms.

• Strong communication skills and the ability to work closely with both technical and non-technical stakeholders.

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Senior Pricing Analyst – 12 Month FTC

London | Hybrid – 2 days per week in the office
£80,000 + benefits

A fast-growing, purpose-led e-commerce business is looking for a Senior Pricing Analyst to join its expanding Analytics team on a 12-month fixed-term contract.

The business is undergoing an exciting period of growth and investment, with data and analytics playing an increasingly important role in how they operate. This role will be central to shaping and improving their pricing strategy across the business.

The Role

This is a hands-on role focused initially on pricing analytics across buying and selling, with the opportunity to broaden into wider pricing and commercial analytics over time.

You’ll work closely with Commercial, Operations, Product and Technology teams to understand supply and demand, optimise pricing and identify opportunities to improve business performance.

You’ll be involved in:

• Analysing and optimising pricing based on supply and demand

• Looking at price elasticity, forecasting and predictive modelling

• Evaluating pricing strategies and identifying opportunities for improvement

• Supporting the transition from rules-based pricing towards more model-led and experimental approaches

• Creating reporting and visualisations from business data

• Providing clear, commercially relevant insight to senior stakeholders

• Presenting findings and recommendations, including to Board-level stakeholders

• Challenging existing analysis and approaches where appropriate

You won’t necessarily be expected to build complex models from scratch, but you’ll need strong statistical knowledge and the ability to understand, validate and challenge analytical approaches.

About You

We’re looking for a Senior Pricing Analyst who is:

• Strong technically, with experience in pricing analytics, forecasting, regression, predictive modelling or price elasticity

• Comfortable getting hands-on with data and analysis

• Commercially minded, with a strong understanding of how analytics can influence business decisions

• Confident communicating complex analysis to non-technical stakeholders

• Comfortable working with senior stakeholders and influencing decision-making

• Proactive and entrepreneurial, with a willingness to get stuck in

• Comfortable operating in a fast-paced and sometimes ambiguous environment

• Customer-focused and able to connect analysis back to commercial outcomes

• Naturally curious and willing to challenge existing ways of working

This is an excellent opportunity for a Senior Pricing Analyst to take genuine ownership of pricing strategy within a growing, data-driven business, working closely with senior stakeholders and having a direct impact on commercial decisions.

12-month FTC | London | Hybrid – 2 days per week | £80,000 + benefits

Find out more and apply via the link below!

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CREDIT RISK MANAGER

£74,000- 120,000

LONDON

This is an opportunity to join one of the UK’s most successful and fast-growing fintech businesses as they continue to scale their credit card portfolio. You’ll play a key role in shaping credit strategy, using data-driven insights to influence business decisions and drive portfolio performance within a highly analytical and collaborative environment.

THE COMPANY

This fast-growing fintech business is transforming consumer lending through technology, data science, and machine learning. Operating at significant scale and backed by leading investors, they have built a strong reputation for delivering innovative financial products and exceptional customer experiences.
With continued growth across multiple product lines, they are investing heavily in their credit function and are looking for talented analytical professionals to help optimise lending decisions and influence strategic direction.

THE ROLE

• Develop and enhance credit strategies across a growing credit card portfolio
• Use Python and SQL to analyse customer behaviour, portfolio performance, and lending outcomes
• Generate data-driven insights to support acquisition, underwriting, pricing, and credit limit decisions
• Collaborate with data science, product, and engineering teams to implement new strategies and models
• Monitor portfolio performance and identify opportunities to improve risk and commercial outcomes
• Assess the impact of external economic factors on credit performance and lending strategy
• Take ownership of key initiatives and make a measurable impact on business growth from day one

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience within credit risk, lending, or consumer finance
• Proven experience developing and implementing credit card strategies
• Strong coding capability with Python and SQL used in a commercial environment
• Experience analysing large datasets and translating findings into business recommendations
• Knowledge of portfolio management, underwriting, pricing, or credit risk optimisation
• Strong problem-solving skills with the ability to challenge assumptions and identify opportunities for improvement
• Experience working within a fast-paced analytical environment is beneficial

SALARY AND BENEFITS

• Competitive salary based on experience
• Performance-related bonus
• Equity participation scheme
• Private health insurance
• Hybrid working model with flexibility to work from home
• Complimentary lunches in the office
• Pension scheme
• Opportunity to join a high-growth fintech business and accelerate your career progression

HOW TO APPLY
Please register your interest by sending your CV to Rachael Lewis through the ‘Apply’ link.

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SENIOR CREDIT RISK STRATEGY ANALYST
£60,000-£75,000
LONDON

This is an opportunity to join one of the UK’s leading digital banking businesses, working within a highly regarded credit risk team that has built a reputation for developing some of the strongest talent in the consumer lending market. You’ll take ownership of credit strategy across a lending product, using analytics to drive both risk and commercial performance in a fast-growing environment.

THE COMPANY
This innovative financial services business has established itself as a major player within UK consumer lending, combining advanced analytics, modern technology, and customer-focused products. They offer a broad range of lending and banking products and continue to experience strong growth across their customer base and product portfolio. They are known for investing heavily in both technology and employee development, making it an excellent environment for career progression.

THE ROLE

• Take ownership of credit risk and commercial strategy for a specific lending product
• Analyse portfolio performance and identify opportunities to improve business outcomes
• Develop and optimise lending strategies using customer and portfolio data
• Use SQL and Python to deliver insights and support strategic decision-making
• Monitor credit performance and recommend data-driven policy changes
• Work closely with stakeholders across analytics, product, data science, and technology teams
• Contribute to the development and implementation of new credit strategies and decisioning frameworks
• Play a key role in balancing growth, profitability, and customer outcomes

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience within credit risk strategy or credit risk analytics
• Experience working within consumer lending environments
• Advanced SQL skills
• Python experience is highly desirable
• Experience developing or managing credit risk strategies and lending policies
• Strong problem-solving skills with the ability to translate analysis into commercial recommendations
• Excellent communication and stakeholder management skills
• Experience working with large datasets and delivering actionable insights

SALARY AND BENEFITS

• £60,000- £75,000 base salary
• Annual bonus
• Hyrbid working model (2-3 days in the office)
• Modern Canary Wharf office location
• Strong career progression opportunities within a high-performing credit risk function
• Exposure to multiple lending products and sophisticated analytical tools
• Opportunity to learn from experienced leaders and industry experts

HOW TO APPLY

Please register your interest by sending your CV to Rachael Lewis through the ‘Apply’ link.

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SENIOR CREDIT RISK ANALYST

£55,000-£70,000

LONDON

This is an excellent opportunity for a Senior Credit Risk Analyst to join a high-growth fintech business where data-driven decision making sits at the heart of the organisation. You’ll have the autonomy to shape credit strategy, influence commercial outcomes, and work closely with senior stakeholders in a fast-paced environment that values innovation and ownership.

THE COMPANY

They are a successful and rapidly scaling consumer lending business that is transforming the way financial products are delivered. Using advanced analytics, technology, and automation, they have built a customer-focused proposition that challenges traditional approaches within the financial services sector.
With a strong track record of growth and profitability, they continue to invest heavily in data, machine learning, and analytics capabilities. Their collaborative culture encourages ownership, continuous improvement, and the freedom to challenge existing thinking.

THE ROLE

• As a Senior Credit Risk Analyst, you will play a key role in shaping credit card strategy and driving portfolio performance through data-led insights.
• Defining and optimising credit risk strategies across customer acquisition and portfolio management
• Using Python and SQL to analyse large datasets and uncover actionable insights
• Developing recommendations on credit decisioning, lending limits, pricing, and portfolio performance
• Monitoring the effectiveness of implemented strategies and identifying opportunities for continuous improvement
• Supporting forecasting activities and contributing to risk model performance assessment
• Partnering with cross-functional teams to implement strategies and deliver measurable business impact
• Evaluating external market conditions and economic trends to inform credit risk decisions

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience in credit risk analytics within credit cards or consumer lending
• Advanced coding capability using SQL and ideally Python on a daily basis
• Experience developing and implementing credit risk strategies
• Strong analytical and problem-solving skills with the ability to translate data into business outcomes
• Experience working with large datasets and generating insights that influence decision making
• Confident communicating findings and recommendations to both technical and non-technical stakeholders
• A proactive mindset with a willingness to challenge assumptions and improve existing processes

SALARY AND BENEFITS

• £55,000- £70,000
• Performance-related bonus
• Equity participation scheme
• Private healthcare coverage
• Hybrid working model with flexibility to work remotely on selected days
• High-impact role with significant ownership and exposure to senior leadership
• Opportunity to work alongside highly skilled analytics, product, and technology teams
• Clear progression opportunities within a growing analytics and risk function

HOW TO APPLY

Please register your interest by sending your CV to Rachael Lewis through the ‘Apply’ link

To Apply for this Job Click Here

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Associate Director Qualitative Research

Hybrid – London

£60,000 – £70,000 + Benefits

This is an excellent opportunity for an experienced qualitative research leader to take ownership of a high-performing client services team within a global healthcare insights environment. You will play a key role in delivering complex research projects, developing talent, strengthening client relationships, and driving operational excellence across a growing function.

The Company

They are a global research and insights organisation supporting leading healthcare and life sciences businesses with high-quality market research solutions. Operating internationally, they deliver qualitative and quantitative research that helps clients make informed strategic decisions. With a strong focus on innovation, quality, and collaboration, they have built an excellent reputation for delivering impactful insights and exceptional client service.

The Role

As Associate Director Qualitative Research, you will lead a team responsible for delivering complex qualitative market research projects from brief to completion.

Responsibilities include:

* Leading, mentoring, and developing a client services team, supporting performance and career growth

* Managing project delivery, ensuring studies are completed on time, within budget, and to a high standard

* Acting as a senior escalation point for project and client challenges, identifying solutions and driving successful outcomes

* Building strong relationships with clients and internal stakeholders to enhance service delivery

* Monitoring team productivity, project quality, and commercial performance

* Collaborating with senior leadership to improve processes, systems, and operational efficiency

* Supporting the implementation of best practices across client services and project management functions

* Overseeing onboarding, training, and continuous development initiatives within the team

* Partnering with commercial teams to ensure a seamless and positive client experience

Your Skills & Experience

* Strong commercial experience within qualitative market research

* Previous experience leading, coaching, or developing research teams

* Expertise in managing multiple research projects within a fast-paced environment

* Experience working with healthcare, pharmaceutical, or life sciences research projects

* Strong stakeholder management and client relationship skills

* Excellent project management, organisational, and problem-solving capabilities

* Strong written and verbal communication skills

* Advanced Microsoft Office skills, including Excel, PowerPoint, Outlook, and Word

* Ability to balance strategic leadership with hands-on project oversight

What They Offer

* Salary of £60,000 – £70,000depending on experience

* Hybrid working model based in London

* Competitive benefits package

* Exposure to international, high-profile healthcare research programmes

* Clear opportunities for progression into more senior leadership positions

* Collaborative and supportive culture focused on professional development

How to Apply

If you are an experienced qualitative research leader looking for your next challenge, apply now to discuss this Associate Director Qualitative Research opportunity in confidence.

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Marketing & Customer Analyst
London, Hybrid | Up to £40,000

This is an excellent opportunity for a commercially focused Marketing & Customer Analyst to join a growing, data-led organisation where analytics plays a key role in shaping marketing performance and customer strategy. You’ll work across a range of projects, turning complex datasets into actionable insights that influence business decisions and deliver measurable impact.

The Company
They are a well-established organisation with a strong focus on data, analytics, and customer insight. Their team works across a variety of marketing and customer analytics projects, helping stakeholders make smarter, evidence-based decisions. They foster a collaborative environment where analytical thinking is valued and professional development is actively supported. This is an opportunity to work with experienced data professionals on high-impact projects while continuing to build your technical and commercial expertise.

The Role

• Analyse customer and marketing data to identify trends, opportunities, and actionable insights.
• Evaluate marketing performance across digital and paid media channels.
• Conduct customer behaviour analysis, including retention, loyalty, segmentation, and purchasing patterns.
• Build and maintain dashboards and visualisations using tools such as Power BI, Tableau, or Looker.
• Develop clear presentations and insight-led recommendations for stakeholders.
• Work with large datasets using Excel and Python to support reporting and advanced analytics.
• Collaborate with cross-functional teams to improve marketing effectiveness and customer performance.
• Support ad hoc analytical projects and contribute to continuous improvement initiatives.

Your Skills & Experience

• Strong experience in marketing analytics and customer insight.
• Advanced Excel skills, including data manipulation, analysis, and reporting.
• Experience using Python for data analysis and data preparation.
• Strong dashboarding and data visualisation capabilities.
• Ability to communicate complex findings clearly to both technical and non-technical audiences.
• Understanding of marketing KPIs such as ROAS, CTR, CPL, conversion rates, and customer metrics.
• Experience working with digital marketing, customer, or campaign performance data.
• A naturally inquisitive and commercially minded approach to problem solving.

How to Apply
If you’re passionate about marketing analytics, customer insight, and using data to drive business performance, apply today to learn more about this opportunity.

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This is an exciting opportunity for an experienced qualitative research leader to join a growing insights and research business operating within the healthcare and life sciences sector. The role combines strategic client leadership, operational excellence, and people management, offering significant scope to shape team performance and client outcomes.

The Company
They are a well-established international research and insights organisation supporting clients across healthcare, pharmaceutical, biotech, and life sciences industries. Their work helps organisations make informed commercial and strategic decisions through high-quality research and consultancy services. With a collaborative and supportive culture, they are committed to delivering exceptional client outcomes while investing in the development of their people.

The Role
As Associate Director, Qualitative Research, you will lead a team responsible for delivering complex qualitative research projects for healthcare and pharmaceutical clients.
Key responsibilities include:

• Leading, coaching, and developing a team of qualitative research professionals
• Managing team performance, workload allocation, and professional development
• Building and maintaining strong relationships with healthcare, pharmaceutical, and life sciences clients
• Overseeing end-to-end project delivery, ensuring projects are delivered on time, within budget, and to a high standard
• Managing project escalations and driving solutions to operational challenges
• Partnering with senior stakeholders to improve processes, systems, and service delivery
• Supporting commercial performance, project profitability, and client retention
• Driving client service excellence across key accounts
• Identifying opportunities to enhance operational efficiency and team effectiveness
• Contributing to the development of best practice standards across research operations

Your Skills & Experience

• Strong qualitative market research experience within healthcare, pharmaceutical, medical device, biotech, or life sciences sectors
• Proven people management experience, including coaching, mentoring, and performance management
• Leading complex research projects from initiation through to delivery
• Experience managing client relationships and providing consultative support to stakeholders
• Strong project delivery and operational management capabilities
• Commercial awareness with an understanding of project profitability and client account management
• Good communication and stakeholder management skills
• Ability to work collaboratively across multiple teams and functions

What They Offer

• Performance-related bonus
• Clear progression opportunities into senior leadership roles

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CRO Manager

Macclesfield (Office Based) | Up to £60,000 + Benefits

This is an opportunity to take ownership of a growing Conversion Rate Optimisation function within a high-performing digital business. You will lead experimentation across multiple customer journeys, influence commercial strategy, and play a key role in shaping the future of the CRO capability while delivering measurable business impact.

The Company

They are a well-established digital organisation operating multiple high-traffic online platforms across a range of sectors. Driven by data, performance marketing, and customer experience, they generate significant volumes of customer enquiries through sophisticated acquisition channels.

With substantial investment in digital marketing and a strong focus on continuous improvement, they are committed to using experimentation, analytics, and technology to optimise customer journeys and commercial outcomes. This is a business that values innovation, collaboration, and evidence-based decision making.

The Role

You will lead the CRO strategy and experimentation roadmap across a portfolio of high-traffic lead generation journeys.

Responsibilities include:

• Owning and managing the conversion rate optimisation roadmap.
• Developing data-driven hypotheses and building a structured testing programme.
• Designing, building, and validating A/B tests using HTML, CSS, and JavaScript.
• Executing experiments through an experimentation platform and ensuring reliable implementation.
• Using behavioural analytics tools to identify user friction and optimisation opportunities.
• Analysing test results and translating insights into commercial recommendations.
• Prioritising experimentation activity based on business impact, traffic levels, and lead quality.
• Collaborating with Marketing, Technical, and Compliance teams to deliver optimisation initiatives.
• Presenting findings, forecasts, and recommendations to senior stakeholders.
• Supporting the development of CRO processes, frameworks, and future team growth.

Your Skills & Experience

• Strong commercial experience in Conversion Rate Optimisation within high-traffic digital environments.
• Hands-on experience building and deploying A/B tests using HTML, CSS, and JavaScript.
• Solid understanding of experimentation methodology, statistical significance, and test analysis.
• Experience using experimentation platforms such as Convert.com or similar tools.
• Knowledge of behavioural analytics platforms including tools such as Mouseflow, Clarity, FullStory, or equivalent.
• Strong understanding of user experience principles and customer journey optimisation.
• Commercial mindset with the ability to balance conversion growth, lead quality, and profitability.
• Excellent stakeholder management and communication skills.
• Experience working within fast-paced digital marketing or performance marketing environments.

What They Offer

• Clear progression opportunities
• Collaborative and supportive working environment
• Additional employee perks and incentives

How to Apply

If you are an experienced CRO professional looking to lead experimentation at scale and make a meaningful commercial impact, apply today to learn more about this opportunity.

To Apply for this Job Click Here

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Data Analyst
London (Hybrid, 3 days per week in office) | Up to £60,000

This is an excellent opportunity for a Data Analyst to join a highly data-driven organisation where analytics plays a key role in shaping business and customer decisions. You’ll work across a variety of projects, turning complex data into actionable insights while developing your technical and commercial expertise in a collaborative environment.

The Company
They are a well-established organisation that uses data, technology and analytics to drive measurable business outcomes. With a strong focus on innovation and continuous improvement, they empower teams to make informed decisions through high-quality data and insight. The business offers a supportive environment where curiosity, learning and collaboration are actively encouraged.

The Role
You will play a key role in delivering insight and analytics that support business performance and customer strategy.
Responsibilities include:

• Analysing customer and business data to identify trends, opportunities and actionable insights
• Delivering post-campaign and performance analysis to support decision-making
• Developing customer profiles and audience insights
• Supporting testing and measurement initiatives to evaluate business and marketing performance
• Creating reports, dashboards and visualisations for stakeholders
• Building measurement frameworks and KPI structures
• Collaborating with cross-functional teams to provide data-driven recommendations
• Presenting findings and insights to both technical and non-technical stakeholders

Your Skills & Experience

• Strong SQL and/or Python skills for data extraction and analysis
• Experience working with customer, product, marketing, sales or business datasets
• Ability to query data from cloud-based environments such as AWS, Azure or GCP
• Strong analytical and problem-solving skills
• Experience translating data into clear business recommendations
• Excellent communication and stakeholder management skills
• Naturally curious with a strong attention to detail

Desirable experience:

• Data visualisation and dashboarding tools
• Web or digital analytics
• Statistical analysis
• Customer segmentation or modelling
• Marketing technology platforms and campaign analytics
• Test and learn methodologies

How to Apply

To find out more about this Data Analyst opportunity, please apply with your CV for a confidential discussion.

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Head of Data Engineering

Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits

This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.

The Company

They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.

The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.

The Role

You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.

Responsibilities include:

• Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
• Defining and executing the data engineering roadmap in partnership with senior leadership
• Driving delivery across platform development, data migrations, and modernisation initiatives
• Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
• Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
• Developing cloud-based data platforms that support analytics, reporting, and AI use case
• Managing stakeholder relationships across technology, product, analytics, and business teams
• Ensuring platform reliability through monitoring, incident management, and operational governance
• Supporting hiring, team development, and succession planning within the engineering function
• Championing best practices across Data Engineering, DataOps, and platform operations

Your Skills & Experience

• Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
• Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
• Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
• Experience building and scaling engineering teams while maintaining high technical standards
• Ability to lead architectural discussions and make informed technical decisions
• Experience implementing CI/CD, automation, testing, and DataOps best practices
• Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
• Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
• Familiarity with governance, security, and compliance requirements within enterprise environments
• A hands-on leadership style with the ability to support technical teams when needed

What They Offer

• Salary between €110,000 and €150,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Flexible and hybrid working arrangements
• Opportunity to shape and scale an entire Data Engineering function
• Significant exposure to senior leadership and strategic decision-making
• Clear progression towards Director-level and broader Data & AI leadership responsibilities
• The chance to influence the organisation’s long-term data and AI strategy

How to Apply

If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.

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