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Senior Data Engineer

Amsterdam | €80,000+ Bonus + Benefits

This is an exciting opportunity for a Senior Data Engineer to join a well-established retailer operating at scale across multiple markets. You’ll play a key role in shaping a modern data platform, enabling data-driven decision-making, and delivering impactful solutions that support both customer and commercial outcomes.

The Company

They are a leading retail business with a strong digital presence and a commitment to innovation. Operating in a fast-paced environment, they leverage data to optimise operations, enhance customer experiences, and support strategic growth. The organisation is investing heavily in its data capabilities, making this an excellent time to join and contribute to a growing data function.

The Role

As a Senior Data Engineer, you will help design, build, and optimise scalable data solutions across the business.

Responsibilities include:

• Designing and developing robust data pipelines for batch and real-time data processing
• Building and maintaining cloud-based data platforms and data warehouses
• Supporting the delivery of analytics, reporting, and machine learning initiatives
• Improving data quality, governance, monitoring, and observability across the platform
• Collaborating with Data Analysts, Data Scientists, Product teams, and business stakeholders
• Driving best practice in data engineering, architecture, and platform performance
• Contributing to technical strategy and mentoring colleagues within the data team
• Identifying opportunities to improve efficiency through automation and scalable engineering solutions

Your Skills & Experience

• Strong commercial experience as a Data Engineer or Senior Data Engineer
• Advanced SQL skills and strong capability in Python
• Experience building and maintaining modern cloud data platforms, ideally on Azure, AWS, or GCP
• Expertise in data modelling, ETL/ELT development, and data warehousing concepts
• Experience with orchestration and workflow tools such as Airflow or similar technologies
• Knowledge of modern data architecture principles and scalable distributed systems
• Experience working with large, complex datasets in a commercial environment
• Strong stakeholder management and communication skills
• Ability to work collaboratively across technical and non-technical teams
• Passion for data, continuous improvement, and delivering business value

What They Offer

• Salary of €80,000 depending on experience
• Performance-related bonus
• Competitive pension contribution
• Hybrid working model based in Amsterdam
• Generous annual leave allowance
• Learning and development budget
• Opportunity to influence a growing data platform and technical roadmap
• Clear career progression within a mature and expanding data function
• Supportive and collaborative working environment

How to Apply

If you’re a Senior Data Engineer looking for an opportunity to build scalable data solutions and have a real impact within a data-driven retail business in Amsterdam, please apply with your CV for further information.

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Solution Architect / Technical Lead

Amsterdam, Netherlands

€100,000 – €140,000 + Benefits

Competitive Freelance Day Rate

This is an opportunity to shape the future of knowledge-driven solutions within a leading international professional services environment. Working at the intersection of knowledge graphs, AI, data architecture, and enterprise technology, you will play a key role in designing and delivering strategic platforms that enable smarter access to information across a global organisation.

The Company

They are a well-established international organisation with a strong reputation for innovation and excellence. Operating across multiple jurisdictions, they invest heavily in technology, data, and AI to enhance the services they provide to clients worldwide.

As part of a growing digital and data function, they are building advanced knowledge management capabilities and modern information architectures. This role will be instrumental in defining how knowledge graph technologies support enterprise search, AI applications, and data-driven decision-making.

The Role

As a Solution Architect / Technical Lead, you will provide technical leadership for the design and implementation of knowledge graph solutions across the organisation.

Key responsibilities include:

• Define and lead the architecture for enterprise-scale knowledge graph platforms
• Work closely with business stakeholders, data teams, and technology teams to translate requirements into technical solutions
• Design semantic data models, ontologies, and graph-based information architectures
• Lead technical delivery across internal teams and external partners
• Drive best practice in knowledge representation, metadata management, and data governance
• Support the integration of knowledge graphs with AI, machine learning, search, and analytics platforms
• Provide architectural guidance on cloud infrastructure, scalability, security, and performance
• Influence technology strategy and roadmap decisions relating to knowledge and AI capabilities
• Mentor engineers and technical specialists while promoting engineering excellence

Your Skills & Experience

• Strong commercial experience designing and delivering knowledge graph solutions
• Expertise with graph databases and semantic technologies such as RDF, OWL, SPARQL, or similar frameworks
• Experience developing enterprise data architectures and information management solutions
• Strong understanding of ontology design, taxonomy management, and knowledge representation
• Experience integrating knowledge graphs with AI, NLP, search, or machine learning applications
• Ability to lead technical discussions with both business and technical stakeholders
• Experience working within complex, international enterprise environments
• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud
• Excellent communication and stakeholder management skills
• Previous experience in legal, professional services, financial services, or other knowledge-intensive sectors is advantageous but not essential

What They Offer

• Permanent salary of €100,000 – €140,000 depending on experience
• Alternatively, a competitive freelance day rate for contract candidates
• Opportunity to shape a strategic knowledge graph capability from the ground up
• Exposure to large-scale international programmes focused on AI, data, and digital transformation
• Flexible and hybrid working arrangements in Amsterdam
• Access to senior stakeholders and meaningful architectural decision-making
• Long-term career progression within a growing data and technology function

How to Apply

If you are a senior Solution Architect or Technical Lead with strong knowledge graph expertise and are interested in driving enterprise-scale data and AI initiatives in Amsterdam, please apply to discuss the opportunity further.

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SENIOR DATA ANALYST
REMOTE (UK)
UP TO £90,000

This is an excellent opportunity for a Senior Data Analyst to join a high-growth digital business where analytics plays a central role in shaping product, customer, and commercial decisions. You’ll work across a broad range of initiatives, combining stakeholder partnership, advanced analytics, and BI expertise to drive measurable business impact.

ROLES AND RESPONSIBILITIES:
The Senior Data Analyst will:

• Translating business challenges into structured analytical approaches and recommendations.
• Building and enhancing self-service reporting and dashboard capabilities.
• Developing high-quality BI solutions that improve decision-making across the business.
• Supporting strategic analytics initiatives focused on customer behaviour, growth, and product performance.
• Partnering with senior stakeholders to identify opportunities, risks, and trends.
• Delivering clear data storytelling that influences business outcomes.
• Contributing to the ongoing development of analytics best practices and analytical maturity.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience in data analytics within a fast-paced environment.
• Advanced SQL skills and a strong analytical mindset.
• Experience building dashboards, reporting solutions, and self-service analytics.
• Strong BI expertise, ideally using Looker, Omni, or similar modern BI platforms.
• Experience supporting experimentation and A/B testing initiatives.
• Exposure to dbt or analytics engineering methodologies.
• Ability to work closely with technical and non-technical stakeholders.
• Strong communication skills with the ability to influence decision-making through data.
• Python experience is beneficial but not essential.

APPLY BELOW

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ANALYTICS ENGINEER
LONDON/HYBRID
UP TO £80,000

This is an exciting opportunity for an Analytics Engineer to take ownership of the full data lifecycle within a growing, data-driven business. You’ll work across analytics engineering, data engineering, and business intelligence, helping shape how data powers decision-making, product development, and commercial growth.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Design, build, and maintain end-to-end data pipelines from source systems through to analytics-ready datasets
• Develop scalable and well-documented transformation pipelines using dbt and BigQuery
• Write and maintaining Python-based data ingestion and automation processes
• Create dashboards, reports, and KPI frameworks to support commercial, marketing, and product teams
• Collaborate with technical and non-technical stakeholders to translate business requirements into data solutions
• Monitor data quality and identifying opportunities to improve platform performance and scalability
• Support the adoption of self-service analytics across the organisation

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience with Google Cloud Platform, particularly BigQuery and related cloud services
• Hands-on expertise with dbt, including testing, documentation, and data modelling
• Advanced SQL skills with experience optimising queries and building analytical datasets
• Strong Python skills for data extraction, automation, and orchestration
• Experience building dashboards and reporting solutions using BI tools such as Looker Studio, Metabase, or similar
• Familiarity with Git, version control, and modern engineering practices
• Ability to communicate effectively with both technical teams and business stakeholders
• Comfortable working in a fast-paced environment and taking ownership of projects from inception to delivery

APPLY BELOW

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Data Analyst – Wealth Management

Our client is a large wealth management firm growing their data function. As the firm grows its investment in data and analytics, they’re looking for a Data Analyst to join a standard, well-established data function.

Role Details

• Support data and analytics initiatives across the firm’s investment/wealth management operations
• Work with structured data using Python, SQL, and dbt
• Build and maintain reporting/dashboards using a BI tool (no specific tool preference)
• Location: 4 days/week in office in either Miami, FL or Austin, TX

Qualifications

• 2+ years of experience (3+ preferred)
• Background from consulting, corporate, or data science (with an analytics focus) all welcome
• Strong Python, SQL, and dbt skills
• Databricks experience a nice-to-have
• Finance/wealth management background is a plus, not required

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Senior Data Analyst

Up to 90K/Remote

The Overview

This is an exciting opportunity for a Senior Data Analyst to join a fast-growing digital business where data plays a central role in shaping commercial, product, and customer decisions. You’ll have the chance to influence business strategy, build impactful self-serve analytics solutions, and work on high-visibility projects that directly support growth.

The Company

They are a high-growth consumer-focused business that places data at the heart of decision-making. With a modern data stack and a strong commitment to analytical innovation, they are continuing to invest in their analytics capability as they scale. The business promotes a collaborative culture where insights drive meaningful action and where analysts are empowered to make a measurable impact. This is an environment where curiosity, ownership, and continuous improvement are highly valued.

The Role

You will:

• Partner with stakeholders across Product, Commercial, Growth, and other business functions to solve complex business challenges through data.
• Translate business questions into structured analytical approaches, actionable insights, and clear recommendations.
• Develop and enhance BI reporting, dashboards, and self-serve analytics capabilities.
• Build scalable reporting solutions that improve data accessibility and support confident decision-making.
• Deliver customer, product, and commercial analysis to identify opportunities, trends, and risks.
• Support experimentation initiatives, including A/B testing analysis and performance measurement.
• Communicate insights effectively to both technical and non-technical stakeholders.
• Contribute to raising analytical standards and improving data-driven decision-making across the organisation.

Your Skills & Experience

• Strong commercial experience in data analytics within a fast-paced environment.
• Advanced SQL skills and a proven ability to solve complex analytical problems.
• Experience developing BI reporting, dashboards, and self-serve analytics solutions.
• Strong experience with Looker, Omni, or similar modern BI platforms.
• Understanding of experimentation methodologies and A/B testing analysis.
• Experience translating stakeholder requirements into scalable analytical outputs.
• Exposure to dbt or analytics engineering principles is beneficial.
• Python experience is advantageous but not essential.
• Excellent stakeholder management and data storytelling skills.
• Ability to work autonomously and thrive in a dynamic, evolving environment.

What They Offer

• Salary up to £90,000.
• Remote-first working across the UK.
• Private healthcare package.
• Income protection benefits.
• Flexible working arrangements.
• Enhanced holiday entitlement linked to tenure.
• Home office support.
• Access to employee discount and salary sacrifice schemes.
• Clear progression opportunities into leadership and broader strategic analytics roles.
• Exposure to innovative analytics projects, including customer intelligence, experimentation, and advanced analytics initiatives.

How to Apply

If you’re a commercially minded Senior Data Analyst looking to make a significant impact in a growing, data-driven business, apply today to learn more about this opportunity.

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SENIOR DATA ANALYTICS CONSULTANT
LONDON/HYBRID
UP TO £65,000

If you’re looking for a role that combines advanced analytics with genuine client influence, this is an excellent opportunity to join a leading global data and AI consultancy. You’ll work on high-profile analytics engagements, helping major organisations use data to improve decision-making, drive growth, and unlock commercial opportunities.

ROLES AND RESPONSIBILITIES:
The Senior Data Analytics Consultant will:

• Lead client-facing analytics engagements and building trusted stakeholder relationships.
• Understand business challenges and translating requirements into analytical solutions.
• Present insights and recommendations to both technical and non-technical audiences.
• Work with large and complex datasets to identify trends, risks, and growth opportunities.
• Develop SQL-based analytical solutions and scalable reporting frameworks.
• Build and maintaining dashboards using tools such as Tableau, Looker, or similar BI platforms.
• Harmonise multiple data sources and ensuring data quality and consistency.
• Apply statistical and analytical techniques to uncover drivers of business performance.
• Manage project timelines, risks, governance, and stakeholder communications.
• Collaborate with data, engineering, and consulting teams to deliver high-quality solutions.

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Advanced SQL skills, including data extraction, transformation, optimisation, and analysis.
• Strong background in data analytics and business intelligence.
• Experience working with large and complex datasets.
• Stakeholder management and client-facing experience.
• Dashboard development using Tableau
• Ability to translate analytical findings into actionable business recommendations.
• Strong communication and data storytelling skills.
• Experience presenting insights to technical and non-technical audiences.
• Commercial mindset with the ability to explain the drivers behind business performance.

APPLY BELOW

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Analytics Engineer
London (Hybrid) | Up to £80,000

A fantastic opportunity to join a growing digital business where data plays a key role in driving commercial and product decisions. This position offers end-to-end ownership across analytics, engineering, and BI within a modern cloud environment.

The Company

A fast-scaling, customer-focused organisation investing heavily in its data platform. You’ll join a collaborative team with plenty of opportunity to influence data strategy and deliver real business impact.

The Role

• Build and maintain end-to-end data pipelines
• Develop scalable data models using dbt and BigQuery
• Create Python-based ingestion and automation processes
• Build dashboards and reporting solutions for business stakeholders
• Partner with product, engineering, marketing, and commercial teams
• Improve data quality, performance, and scalability across the platform

Your Skills & Experience

• Strong experience in Analytics Engineering or Data Engineering
• Hands-on experience with GCP, particularly BigQuery
• Strong dbt, SQL, and Python skills
• Experience building BI dashboards and reporting solutions
• Familiarity with Git and modern development practices
• Strong communication and stakeholder management skills

What They Offer

• Salary up to £80,000
• Hybrid working
• Modern cloud-based data stack
• High level of ownership and autonomy
• Excellent progression opportunities
• Please note that sponsorship is not available for this position.

How to Apply

Apply now!

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Analytics Engineer

£70,000 – £80,000 + Benefits | Permanent | Hybrid, South East London (3 Days per Week Onsite)

The Role:

• Own the end-to-end data lifecycle, from ingestion and transformation through to reporting and insights delivery.
• Build and maintain scalable data pipelines to support business-wide reporting and analytics.
• Develop robust data models using modern cloud-based technologies and analytics engineering best practices.
• Create dashboards, KPI reporting, and self-service analytics solutions.
• Partner with stakeholders to translate business requirements into data-driven solutions.
• Drive continuous improvements in data quality and reporting capabilities.

Requirements:

• Strong experience in Analytics Engineering, Data Engineering, BI, or similar roles.
• Advanced SQL skills.
• Hands-on Python experience.
• Expertise with dbt and cloud data warehouses.
• Experience building dashboards and reporting solutions.
• Excellent stakeholder communication skills.

What Will Make You Stand Out:

• Experience in a high-growth environment.
• Knowledge of Google Cloud and BigQuery.
• Experience across the full analytics stack.
• Commercially minded approach to problem solving.
• Ability to work autonomously and collaboratively.

If you are interested in the role, please apply. To follow up please message me on LinkedIn.

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Senior Data Analyst
Remote UK | Up to £90,000 – No sponsorship offered

A growing digital business is looking for a Senior Data Analyst to join a high-performing analytics team. This is an opportunity to work across a variety of commercial and product-focused projects, helping stakeholders make better decisions through data while driving improvements in reporting and self-service analytics.

The Company

They are a fast-growing, data-driven organisation with a strong focus on innovation and customer experience. Analytics plays a central role in shaping business strategy, product development, and commercial decision-making. This role offers the chance to have visible impact across multiple teams while working with a modern data stack.

The Role

You will:

• Deliver actionable insights to support business and product decisions.
• Build and enhance dashboards, reporting, and self-service analytics capabilities.
• Partner with stakeholders to translate business questions into analytical solutions.
• Identify trends, opportunities, and risks through data analysis.
• Support experimentation, customer analytics, and strategic projects across the business.

Your Skills & Experience

• Strong commercial experience in data analytics.
• Advanced SQL skills.
• Experience building dashboards and BI solutions using tools such as Looker, Omni, or similar.
• Ability to communicate insights clearly to both technical and non-technical audiences.
• Experience working with stakeholders and influencing decision-making through data.
• Exposure to experimentation, analytics engineering, or Python is beneficial but not essential.
• Gaming/betting experience is preferred

What They Offer

• Salary up to £90,000.
• Fully remote working within the UK.
• Comprehensive benefits package.
• Opportunity to work on high-impact analytics initiatives.
• Clear progression opportunities within a growing analytics function.

How to Apply

Apply below or email me at

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