Senior data engineer
/ €70000 - €90000 annum
INFO
SALARY:
€70000 - €90000
LOCATION
Permanent
Senior Data Engineer | Microsoft Fabric !
Location: Poland / Remote (Europe) | Salary: €70,000 - €90,000 + Benefits
This is an opportunity to play a key role in a large-scale global data transformation programme within a complex manufacturing environment. You'll help build and scale a modern Microsoft Fabric platform from the ground up, working on enterprise-grade data engineering challenges that span multiple regions, business units, and technology ecosystems.
The Company
They are a global manufacturing organisation with operations across multiple continents and a workforce of more than 20,000 employees. The business delivers highly customised products at scale, generating significant data volumes across a diverse technology landscape.
As part of a wider Finance and Data & Analytics transformation, they are investing heavily in modern data platforms, analytics capabilities, and enterprise data management. Their teams are distributed globally, with strong collaboration across Europe, Asia, and North America.
The Role
As a Senior Data Engineer (Microsoft Fabric), you will be responsible for designing, building, and supporting a centralised data platform that brings together data from multiple business systems into a modern Microsoft Fabric environment.
Key responsibilities include:
- Designing and developing scalable data solutions using Microsoft Fabric and Lakehouse architecture
- Building and maintaining Medallion architecture data models across Bronze, Silver, and Gold layers
- Developing robust SQL and T-SQL based data pipelines for large-scale enterprise datasets
- Integrating data from multiple source systems into a centralised analytics platform
- Implementing data quality, reconciliation, validation, and governance processes
- Supporting production environments, troubleshooting data issues, and ensuring platform reliability
- Driving DevOps best practices, including Git-based version control, CI/CD pipelines, automated testing, and deployment processes
- Collaborating with technical and business stakeholders across Finance, Analytics, and Technology teams
- Contributing to platform architecture and engineering standards as the data platform continues to scale
This is a hands-on backend engineering role focused on platform development, data integration, and operational excellence. It is not a Power BI development or dashboard-focused position.
Your Skills & Experience
You will bring:
- Strong experience as a Data Engineer within large, complex organisations
- Proven expertise delivering solutions in Microsoft Fabric production environments
- Strong SQL and T-SQL development skills
- Experience building and maintaining Lakehouse and Medallion architecture solutions
- Strong understanding of enterprise data integration and large-scale data platforms
- Experience implementing DevOps practices, including Git, CI/CD, automated testing, and deployment automation
- Experience supporting live production platforms and resolving operational issues
- Understanding of infrastructure, platform engineering, or data platform operations
- Strong stakeholder management and communication skills, with experience working across global teams
- Exposure to Azure data technologies and cloud-based data ecosystems
Highly desirable:
- Experience delivering transformation programmes or building data platforms from scratch
- Experience within manufacturing, supply chain, finance, or other data-intensive environments
- Familiarity with infrastructure-as-code approaches and platform automation
What They Offer
- Salary of €70,000 - €90,000 depending on experience
- Fully remote working across Europe
- Preference for candidates based in Poland or Eastern Europe, with flexibility across European time zones
- Opportunity to work on a high-profile global transformation programme
- Exposure to senior stakeholders across an international organisation
- Long-term career progression within a growing data and analytics function
- Collaborative, international engineering environment
- Approximately 3-4 business trips per year for team and project meetings
The organisation's preference is to hire on a permanent basis. Exceptional Microsoft Fabric specialists who initially prefer contract engagement may also be considered with a view to transitioning into a permanent role.
How to Apply
If you're a Senior Data Engineer with strong Microsoft Fabric, SQL, and DevOps experience and are looking to build a modern enterprise data platform at global scale, apply today to learn more about this opportunity.
CONTACT
Cindy Walusiak
Senior Growth Manager - France
SIMILAR
JOB RESULTS
Senior data engineer
€70000 - €90000
+ Data Engineering
PermanentPoland
To Apply for this Job Click Here
Senior Data Engineer | Microsoft Fabric !
Location: Poland / Remote (Europe) | Salary: €70,000 – €90,000 + Benefits
This is an opportunity to play a key role in a large-scale global data transformation programme within a complex manufacturing environment. You’ll help build and scale a modern Microsoft Fabric platform from the ground up, working on enterprise-grade data engineering challenges that span multiple regions, business units, and technology ecosystems.
The Company
They are a global manufacturing organisation with operations across multiple continents and a workforce of more than 20,000 employees. The business delivers highly customised products at scale, generating significant data volumes across a diverse technology landscape.
As part of a wider Finance and Data & Analytics transformation, they are investing heavily in modern data platforms, analytics capabilities, and enterprise data management. Their teams are distributed globally, with strong collaboration across Europe, Asia, and North America.
The Role
As a Senior Data Engineer (Microsoft Fabric), you will be responsible for designing, building, and supporting a centralised data platform that brings together data from multiple business systems into a modern Microsoft Fabric environment.
Key responsibilities include:
- Designing and developing scalable data solutions using Microsoft Fabric and Lakehouse architecture
- Building and maintaining Medallion architecture data models across Bronze, Silver, and Gold layers
- Developing robust SQL and T-SQL based data pipelines for large-scale enterprise datasets
- Integrating data from multiple source systems into a centralised analytics platform
- Implementing data quality, reconciliation, validation, and governance processes
- Supporting production environments, troubleshooting data issues, and ensuring platform reliability
- Driving DevOps best practices, including Git-based version control, CI/CD pipelines, automated testing, and deployment processes
- Collaborating with technical and business stakeholders across Finance, Analytics, and Technology teams
- Contributing to platform architecture and engineering standards as the data platform continues to scale
This is a hands-on backend engineering role focused on platform development, data integration, and operational excellence. It is not a Power BI development or dashboard-focused position.
Your Skills & Experience
You will bring:
- Strong experience as a Data Engineer within large, complex organisations
- Proven expertise delivering solutions in Microsoft Fabric production environments
- Strong SQL and T-SQL development skills
- Experience building and maintaining Lakehouse and Medallion architecture solutions
- Strong understanding of enterprise data integration and large-scale data platforms
- Experience implementing DevOps practices, including Git, CI/CD, automated testing, and deployment automation
- Experience supporting live production platforms and resolving operational issues
- Understanding of infrastructure, platform engineering, or data platform operations
- Strong stakeholder management and communication skills, with experience working across global teams
- Exposure to Azure data technologies and cloud-based data ecosystems
Highly desirable:
- Experience delivering transformation programmes or building data platforms from scratch
- Experience within manufacturing, supply chain, finance, or other data-intensive environments
- Familiarity with infrastructure-as-code approaches and platform automation
What They Offer
- Salary of €70,000 – €90,000 depending on experience
- Fully remote working across Europe
- Preference for candidates based in Poland or Eastern Europe, with flexibility across European time zones
- Opportunity to work on a high-profile global transformation programme
- Exposure to senior stakeholders across an international organisation
- Long-term career progression within a growing data and analytics function
- Collaborative, international engineering environment
- Approximately 3-4 business trips per year for team and project meetings
The organisation’s preference is to hire on a permanent basis. Exceptional Microsoft Fabric specialists who initially prefer contract engagement may also be considered with a view to transitioning into a permanent role.
How to Apply
If you’re a Senior Data Engineer with strong Microsoft Fabric, SQL, and DevOps experience and are looking to build a modern enterprise data platform at global scale, apply today to learn more about this opportunity.

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Senior Data engineer
Amsterdam
€80000 - €93000
+ Data Engineering
PermanentAmsterdam, North Holland
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Senior Data Engineer
Amsterdam | Up to €93,000 base salary + bonus and benefits
Azure | Databricks
This is an opportunity to join a growing data function where you’ll have genuine ownership across the full data lifecycle. Rather than focusing solely on pipeline engineering, you’ll design solutions, work directly with business stakeholders, and help shape how data and AI-powered applications integrate into the wider product landscape. Based on the job specification and hiring brief, the role combines data engineering, solution design, cloud infrastructure, and application development responsibilities.
The Company
They are a forward-thinking organisation investing heavily in data, analytics, and AI capabilities. Their data team works closely with business stakeholders to deliver impactful solutions that improve accessibility, quality, and usability of data across the organisation. This role sits within a collaborative environment where technical expertise and commercial thinking are equally valued. You will have the opportunity to influence architecture decisions and help define best practices for data and AI solutions.
The Role
As a Senior Data Engineer, you will play a key role in designing, building, and maintaining modern data platforms and AI-enabling infrastructure.
Responsibilities include:
- Designing end-to-end data solutions in partnership with business stakeholders
- Building and maintaining scalable data pipelines, ETL processes, and cloud-based data platforms
- Developing and optimising data models to improve accessibility, performance, and quality
- Managing and enhancing Azure-based infrastructure and Databricks environments
- Integrating new data sources and connecting solutions into broader business applications
- Supporting the development of AI tooling and the underlying data infrastructure
- Building and maintaining business-critical applications and services
- Working with APIs and application integrations across the wider technology ecosystem
- Monitoring platform performance, availability, costs, and system health
- Providing technical guidance and mentoring to less experienced team members
- Collaborating with IT and technology teams to ensure scalable and sustainable solutions
- Taking ownership of solution design from initial concept through to deployment and support
Your Skills & Experience
- Strong commercial experience with Azure and Databricks
- Expertise in data engineering, ETL development, and data pipeline architecture
- Advanced SQL skills and strong data modelling capability
- Experience working with cloud infrastructure, platform engineering, or DevOps practices
- Ability to design solutions and translate business requirements into technical implementations
- Experience building applications, services, or API-driven integrations
- Strong understanding of data platform architecture and modern data ecosystems
- Comfortable working directly with business stakeholders without a dedicated Business Analyst layer
- Programming experience with Python and data-focused technologies
- Ability to balance hands-on delivery with strategic solution design
What They Offer
- Salary up to €93,000
- Guaranteed annual bonus
- Additional discretionary bonus opportunity
- Competitive benefits package
- High level of autonomy and ownership
- Exposure to AI, cloud, and modern data platform initiatives
- Opportunity to influence architecture, tooling, and technical direction
- Clear scope for progression within a growing data function
How to Apply
If you’re a Senior Data Engineer who enjoys combining data engineering, cloud infrastructure, solution design, and stakeholder engagement, please apply today to learn more about this opportunity.

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Front End Engineer
London
£70000 - £80000
+ Data Engineering
PermanentLondon
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FRONT-END ENGINEER
UP TO £80,000
LONDON
This is an exciting opportunity to join an early-stage technology business where AI sits at the heart of product development and innovation. You’ll play a key role in shaping a product from the ground up, working across the full technology stack and helping to deliver AI-powered capabilities that solve complex real-world problems.
THE COMPANY
Our client is a technology-driven organisation focused on developing software solutions that help businesses manage complex workflows, data, and decision-making processes. They operate in a collaborative, fast-paced environment where engineering, product, and business teams work closely together to deliver high-impact solutions. They offer the opportunity to work on technically challenging projects while contributing to the evolution of a rapidly growing product.
THE ROLE
Responsibilities include but are not limited to:
- Build intuitive, high-performance user interfaces used daily across complex workflows and decision-making processes.
- Develop data-rich dashboards, document management experiences, and AI-powered features that simplify complex information and processes.
- Translate sophisticated AI and automation workflows into responsive, user-friendly experiences.
- Collaborate closely with product, design, and engineering teams to deliver scalable front-end solutions that balance usability, performance, and functionality.
- Drive front-end best practices across architecture, testing, accessibility, performance optimisation, and security.
YOUR SKILLS AND EXPERIENCE:
- Strong React and Typescript is essential, with React Native experience being highly desirable
- Experience developing complex, data-heavy enterprise applications with a focus on usability and performance.
- Strong understanding of state management, component architecture, front-end testing, and application security.
- Regular use of AI-assisted development tools such as Cursor, Claude Code, or similar productivity tools.
SALARY AND BENEFITS
- Up to £80,000 base salary
- Contributory pension scheme
- Bonus
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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FULL STACK ENGINEER
London
£70000 - £80000
+ Data Engineering
PermanentLondon
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FULL STACK ENGINEER
UP TO £80,000
LONDON
This is an exciting opportunity to join an early-stage technology business where AI sits at the heart of product development and innovation. You’ll play a key role in shaping a product from the ground up, working across the full technology stack and helping to deliver AI-powered capabilities that solve complex real-world problems.
THE COMPANY
Our client is a technology-driven organisation focused on developing software solutions that help businesses manage complex workflows, data, and decision-making processes. They operate in a collaborative, fast-paced environment where engineering, product, and business teams work closely together to deliver high-impact solutions. They offer the opportunity to work on technically challenging projects while contributing to the evolution of a rapidly growing product.
THE ROLE
Responsibilities include but are not limited to:
- Build and ship product features end-to-end across the frontend, backend, and database layers.
- Develop modern user interfaces using React and TypeScript, delivering intuitive user experiences.
- Design, build, and maintain scalable backend services using Python and modern frameworks.
- Contribute to architecture decisions, engineering standards, and technical roadmaps.
- Work with AWS, CI/CD pipelines, and containerised environments to support reliable deployments.
- Integrate AI-powered capabilities into the platform, ensuring outputs are transparent, reliable, and valuable to users.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience delivering full-stack applications in production environments.
- Strong React and TypeScript is essential.
- Strong Python experience, ideally with FastAPI or Django.
- Experience working with PostgreSQL, SQL, and data modelling.
- Knowledge of AWS or similar cloud platforms, CI/CD practices, and container technologies.
- Experience designing secure applications, including authentication, authorisation, and multi-tenant architectures.
- Comfortable owning features from concept through to deployment and contributing to technical decision-making.
SALARY AND BENEFITS
- Up to £80,000 base salary
- Contributory pension scheme
- Bonus
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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Backend Engineer
London
£70000 - £80000
+ Data Engineering
PermanentLondon
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BACKEND ENGINEER
UP TO £80,000
LONDON
This is an exciting opportunity to join an early-stage technology business where AI sits at the heart of product development and innovation. You’ll play a key role in shaping a product from the ground up, working across the full technology stack and helping to deliver AI-powered capabilities that solve complex real-world problems.
THE COMPANY
Our client is a technology-driven organisation focused on developing software solutions that help businesses manage complex workflows, data, and decision-making processes. They operate in a collaborative, fast-paced environment where engineering, product, and business teams work closely together to deliver high-impact solutions. They offer the opportunity to work on technically challenging projects while contributing to the evolution of a rapidly growing product.
THE ROLE
Responsibilities include but are not limited to:
- Build, scale, and maintain backend services, including APIs, workflow engines, data services, and system integrations.
- Develop and support integrations between Java/Spring platform components and Python-based AI services.
- Design secure, reliable, and high-performance systems.
- Collaborate with cross-functional engineering teams to deliver robust backend solutions for demanding production environments.
- Implement and enhance API architectures, observability frameworks, automated testing, and security best practices.
- Contribute to cloud infrastructure, CI/CD pipelines, and operational excellence across AWS-based environments.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience building backend applications.
- Strong Python experience is essential, with FastAPI as highly desirable
- Strong SQL and PostgreSQL expertise.
- Hands-on AWS experience, including cloud-native services, CI/CD pipelines, and Linux-based environments.
- Strong knowledge of API design, testing strategies, monitoring, observability, and application security.
- Regular use of AI-assisted development tools such as Cursor, Claude Code, or similar productivity tools.
- Experience with Java/Spring, event-driven architectures, workflow engines and LLM integrations is highly desirable.
SALARY AND BENEFITS
- Up to £80,000 base salary
- Contributory pension scheme
- Bonus
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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Machine Learning Engineering Lead
London
£100000 - £125000
+ Data Science & AI
PermanentLondon
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MACHINE LEARNING ENGINEERING LEAD
UP TO £125,000
LONDON
This is an excellent opportunity for an experienced ML Engineering Manager or technical leader to join a high-growth fintech and take ownership of a growing machine learning engineering function. You’ll combine hands-on technical contribution with people leadership, helping scale production ML systems while shaping the future direction of the team.
THE COMPANY
Our client is a growing fintech with a strong engineering culture and investment in data. Machine learning forms a critical part of their technology strategy, creating an environment where engineering teams have a direct impact on business outcomes. As the company continues to scale, they are investing in maturing their ML platform and expanding their engineering capabilities.
THE ROLE
Responsibilities include but are not limited to:
- Lead and develop a team of ML and MLOps engineers
- Own delivery, operational performance, and technical execution across the ML Engineering function
- Drive the evolution of machine learning infrastructure, deployment pipelines, and MLOps capabilities
- Contribute hands-on to architecture, platform development, and production ML initiatives
- Help shape the long-term strategy, growth, and maturity of the ML Engineering function
YOUR SKILLS AND EXPERIENCE:
- Previous people management or engineering leadership experience
- Strong commercial experience in Software Engineering, ML Engineering, or MLOps environments
- Experience building, deploying, and supporting machine learning solutions at scale
- Experience working with AWS and ML tooling such as MLflow, Airflow, Metaflow, or Snowflake
- Ability to balance technical leadership, strategic thinking, and hands-on engineering contribution
SALARY AND BENEFITS
- Up to £125,000 base salary
- Contributory pension scheme
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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BI Developer (12-18 month FTC)
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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BI DEVELOPER (12-18 MONTH FTC)
LONDON/HYBRID
UP TO £60,000
This is an excellent opportunity for a BI Developer to join a growing consultancy that delivers data and analytics solutions to leading investment and financial services organisations. You’ll work on a variety of complex data projects, gain exposure to different client environments, and contribute to the development of scalable business intelligence solutions that drive decision-making.
ROLES AND RESPONSIBILITIES:
The BI Developer will:
- Build and maintain ETL processes and data pipelines.
- Develop and optimise SQL Server and T-SQL solutions.
- Design and enhance semantic, tabular, and dimensional data models.
- Support SSAS cube development and DAX calculations.
- Work closely with data and business analysts to translate requirements into technical solutions.
- Troubleshoot data issues and supporting end users.
- Contribute to testing, quality assurance, and peer review activities.
- Collaborate with senior developers on solution design and technical delivery.
- Work with evolving requirements and diverse client architectures.
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience with SQL Server and T-SQL development.
- Proven ETL development and data pipeline experience.
- Solid understanding of data warehousing principles and best practices.
- Experience with dimensional modelling, including concepts such as star schema, semantic models, tabular models and Kimball methodologies.
- Exposure to DAX development.
- Experience working across complex data environments and multiple stakeholders.
- Strong problem-solving and communication skills.
- Consultancy experience is highly desirable, although candidates from fast-paced project environments will also be considered.
- Exposure to Python would be advantageous.
APPLY BELOW

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BI Developer
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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BI Developer
London/Hybrid
Up To £60,000
This is an excellent opportunity for a BI Developer to join a specialist data consultancy delivering high-impact projects for clients across the private capital and investment sector. You’ll work on complex data integration challenges, gain exposure to a variety of client environments, and play a key role in building scalable data solutions that drive business decision-making.
The Company
They are a growing data and technology consultancy that helps investment-focused organisations unlock greater value from their data. Combining advisory expertise with a proprietary data platform, they deliver solutions across reporting, analytics, system integration, and operational efficiency. With an established client base and a strong reputation in their market, they offer a collaborative environment where individuals are encouraged to take ownership and develop their technical expertise.
The Role
As a BI Developer, you will work closely with analysts, developers, and client stakeholders to design and deliver robust data solutions.
Key responsibilities include:
- Building and maintaining ETL pipelines across a range of client environments
- Developing, optimising, and supporting complex T-SQL solutions
- Designing and enhancing semantic, tabular, and dimensional data models
- Supporting data warehousing initiatives and reporting capabilities
- Developing and maintaining DAX calculations and analytical models
- Troubleshooting data issues and resolving technical challenges
- Collaborating with analysts to translate business requirements into technical solutions
- Working directly with client data environments and contributing to solution design
- Supporting the delivery of data integration projects across varying architectures and technology stacks
- Managing changing priorities while maintaining high-quality delivery
Your Skills & Experience
You will ideally have:
- Strong commercial experience with SQL, preferably T-SQL
- Experience designing and building ETL pipelines
- SQL Server development experience
- Strong understanding of data warehousing principles
- Experience with dimensional modelling, including concepts such as star schema, semantic models, tabular models, and Kimball methodologies
- Exposure to DAX and analytical modelling
- Experience working across complex data environments
- Strong stakeholder communication skills and the ability to work with evolving requirements
- Experience within a consultancy or project-based environment, or evidence of delivering multiple concurrent initiatives in a fast-paced setting
- Python experience would be advantageous but is not essential
What They Offer
- £50,000 – £60,000 base salary
- Hybrid working model with three days per week in the London office
- Fixed-term contract with strong potential for longer-term opportunities
- Exposure to leading organisations within the private capital and investment space
- Opportunity to work with modern data technologies and proprietary platforms
- Varied, project-driven work across different client environments
- Investment in professional development, training, and certifications
- A collaborative culture that values autonomy, ownership, and continuous learning
How to Apply
If you’re a BI Developer with strong SQL, ETL, and data modelling expertise looking to broaden your experience within a specialist consultancy environment, please apply with your CV to be considered.

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BI Developer (12-18 month FTC)
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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BI Developer (12-18 month FTC)
London (Hybrid – 3 days in office) | £50,000 – £60,000
An exciting opportunity has arisen for a BI Developer to join a growing data consultancy on a fixed-term contract. This role offers the chance to work on complex data integration and business intelligence projects for high-profile clients, helping organisations unlock greater value from their data. With exposure to a variety of technology environments and the opportunity to take ownership of delivery, this is an excellent role for someone who enjoys solving data challenges in a fast-paced, client-focused environment.
The Company
Our client is a specialist data and technology consultancy that helps organisations improve reporting, analytics, and decision-making through modern data solutions. They work with complex data environments, supporting clients with data integration, business intelligence, and data platform development.
The Role
- As a BI Developer, you will play a key role in designing, developing, and maintaining business intelligence solutions across a range of client projects.
- Responsibilities include:
- Developing and maintaining ETL pipelines and data integration processes
- Writing, optimising, and troubleshooting complex T-SQL queries and stored procedures
- Building and enhancing semantic and tabular data models
- Supporting SSAS cube development and DAX calculations
- Applying dimensional modelling and data warehousing best practices
- Collaborating with business and data analysts to translate requirements into technical solutions
- Investigating data issues and supporting users with technical queries
- Contributing to testing, quality assurance, and solution design activities
- Working within a consultancy environment where priorities and requirements can evolve
Your Skills & Experience
- Strong commercial experience with SQL Server and T-SQL development
- Experience building and maintaining ETL processes and data pipelines
- Solid understanding of data warehousing concepts and dimensional modelling
- Experience working with semantic models, tabular models, star schemas, Kimball methodologies, or similar data modelling approaches
- Exposure to SSAS, DAX, and BI solution development
- Experience working across different data architectures and technology environments
- Strong problem-solving and stakeholder communication skills
- Ability to work independently and adapt to changing priorities
- Python development or scripting experience
- Azure data platform exposure
- Consultancy or client-facing project delivery experience
What They Offer
- Salary of £50,000 – £60,000
- 12-18 month fixed-term contract
- Hybrid working model with 3 days in the London office
- Exposure to a wide range of client projects and data environments
- Ongoing learning and development opportunities, including certifications and training
- Private healthcare and enhanced pension contributions
- Clear opportunities to develop technical and consulting expertise
- Collaborative, high-performance culture with strong ownership and autonomy
Please note that sponsorship is not available for this position. Applicants must have the right to work in the UK without requiring current or future visa sponsorship.
How to Apply
If you’re an experienced BI Developer, apply below!

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BI Engineer
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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BI Engineer – 12 month FTC
London (Hybrid)
Up to £60,000
This is an excellent opportunity for a BI Engineer to join a growing data consultancy delivering complex data and analytics solutions for investment and financial services clients. You’ll work on challenging data integration projects, gain exposure to a variety of modern data environments, and develop both your technical and consulting skills within a collaborative, high-performing team.
The Company
They are a specialist data and technology consultancy that helps organisations build trusted, scalable data platforms. Their work focuses on data integration, analytics, reporting, and operational efficiency, enabling clients to make better decisions through high quality data. With continued growth and a strong project pipeline, they offer an environment where BI Engineers can take ownership, work closely with stakeholders, and develop their expertise across a range of technologies and client environments.
The Role
As a BI Engineer, you will play a key role in designing, developing, and supporting data solutions for client projects.
Responsibilities include:
- Building and maintaining ETL pipelines and data integration processes.
- Developing, optimising, and troubleshooting complex SQL Server and T-SQL solutions.
- Creating and enhancing semantic and tabular data models.
- Supporting SSAS cube development and DAX calculations.
- Applying dimensional modelling and data warehousing best practices.
- Working with analysts and stakeholders to translate business requirements into technical solutions.
- Investigating and resolving data quality and reporting issues.
- Supporting testing, quality assurance, and deployment activities.
- Collaborating across project teams to deliver scalable and reliable data solutions.
Your Skills & Experience
You will have strong commercial experience with:
- SQL Server and SQL development.
- ETL development and data pipeline engineering.
- Data warehousing principles and dimensional modelling.
- Star schema, Kimball methodologies, semantic models, and tabular models.
- DAX.
- Working within fast-paced delivery environments.
- Communicating effectively with both technical and non-technical stakeholders.
- Experience within a consultancy environment would be highly beneficial.
- Exposure to Azure data services, Data Vault modelling, or Python would also be advantageous.

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BI Engineer – Data Modelling (12 month FTC)
London
£55000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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BI Engineer
Contract: 12 month FTC (possibility of going permanent)
Location: London | Working Pattern: Hybrid (3 days in the office)
I’m currently representing my client, who is looking for a BI Engineer to support the development of data models, ETL processes and reporting solutions, working closely with analysts and developers to deliver high-quality BI solutions.
The Role:
-
Develop and maintain ETL processes, data warehouses and SSAS cubes.
-
Build and enhance data and semantic models, including advanced DAX calculations.
-
Write and optimise SQL queries and stored procedures.
-
Support testing, quality assurance, bug fixing and data validation.
-
Troubleshoot data issues and support client queries.
-
Collaborate with analysts and developers to deliver scalable, reliable BI solutions.
The Requirements:
-
Strong SQL Server and T-SQL development experience.
-
Experience with SSAS multidimensional and Tabular models, including DAX.
-
Knowledge of ETL processes, data warehousing and dimensional modelling.
-
Familiarity with Azure data services and modern data platforms.
-
Experience with data validation, testing and quality assurance.
-
Understanding of established BI development standards and architectural patterns.
What Will Make You Stand Out:
-
Experience with Data Vault and Kimball modelling methodologies.
-
Programming or scripting skills.
-
Strong problem-solving abilities and a proactive approach to troubleshooting.
-
Experience supporting junior developers through knowledge sharing and peer reviews.
If you are interested in the role please apply. To follow up please message me on email or LinkedIn.

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MMM Consultant
London
£500 - £620
+ Advanced Analytics & Marketing Insights
ContractLondon
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Senior Marketing Analytics Consultant (MMM)
London | Inside IR35
This is an opportunity to play a key role in shaping marketing measurement and effectiveness for a leading digital business. You’ll work across media, marketing, and analytics teams to deliver actionable insights that optimise investment decisions and improve commercial performance in a fast-paced environment.
The Company
They are a well-established digital organisation operating across multiple marketing channels, with a strong focus on customer growth and commercial performance. Analytics sits at the heart of decision-making, helping teams understand the impact of marketing investment and optimise future strategy. Working cross-functionally, they combine data, marketing, and commercial expertise to drive measurable business outcomes.
The Role and Deliverables
- Lead marketing effectiveness and measurement initiatives, with a particular focus on Marketing Mix Modelling (MMM).
- Analyse above-the-line media performance and evaluate return on investment across marketing channels.
- Provide strategic recommendations on media spend, channel optimisation, and marketing performance.
- Support broader marketing analytics projects, including social media channel performance and optimisation.
- Partner closely with marketing stakeholders to translate analytical findings into clear business actions.
- Collaborate with another analyst in a fast-paced environment where priorities and requirements evolve quickly.
Your Skills & Experience
- Strong experience delivering marketing analytics, marketing science, or marketing effectiveness projects.
- Practical experience with Marketing Mix Modelling and measuring media effectiveness.
- Understanding of both brand and performance marketing channels, including above-the-line media.
- Experience working with marketing stakeholders and presenting insights to non-technical audiences.
- Background within eCommerce, digital, or consumer-focused environments.
- Ability to work effectively in a changing, fast-moving business environment.
- Experience gained either in-house or agency-side.
- Exposure to SQL and/or Python would be beneficial but is not essential.
How to Apply
If you have experience in marketing effectiveness, MMM, and stakeholder-facing analytics within a digital or eCommerce environment, please apply to learn more about this contract opportunity.

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