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LEAD DATA PLATFORM ENGINEER

£85,000 + BENEFITS

PRIMARILY REMOTE

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.

THE COMPANY:

This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.

Key responsibilities include:

• Developing and deploying the Lakehouse platform in Azure.
• Owning Databricks engineering, administration and platform optimisation.
• Designing end‑to‑end data platform solutions
• Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
• Creating and maintaining CI/CD pipelines and automated testing frameworks.
• Developing APIs to support integration
• Implementing monitoring, logging and alerting for platform reliability.

YOUR SKILLS AND EXPERIENCE:

• Deep expertise in Databricks, PySpark, Python and SQL.
• Proven experience designing and delivering Lakehouse solutions.
• Strong DevOps capabilities, including CI/CD and automated testing.
• Experience with Infrastructure as Code and cloud automation.
• Familiarity with monitoring, logging and alerting tools.
• Strong stakeholder engagement and the ability to work across teams.
• Experience with APIs and data integration methods.
• Azure Data Factory experience is beneficial.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist – Credit Risk

Up to £75,000

Remote (UK Based)

The Company

They are a global, fully remote fintech working across payments and credit risk. Their teams operate internationally collaborating on high impact risk and credit solutions. They use Python, SQL and GenAI tools heavily across the business.

The Role

* Deliver credit risk and fraud analytics across partner portfolios.

* Build predictive models and rules in Python and SQL.

* Develop and optimise credit strategies including pricing, limits and segmentation.

* Support bespoke insurance and risk solutions for complex merchant portfolios.

* Work closely with data, product and commercial teams.

Your Skills and Experience

* Strong commercial experience with Python and SQL.

* Background in credit risk or fraud analytics.

* Experience building supervised models.

* Comfortable solving open problems and communicating insight clearly.

* Interest in both analytics and modelling.

What They Offer

* Salary up to £75,000 + Benefits

To Apply for this Job Click Here

To Apply for this Job Click Here

Risk Manager
Birmingham, hybrid (3 days onsite)
£60,000 to £70,000 plus benefits

A great opportunity to join a fast‑moving lender during a period of growth. This role suits someone who enjoys hands‑on analytics, influencing credit strategy, and working directly with major retail partners.

The Company
They are a well‑established consumer finance provider supporting a range of high‑profile retail portfolios. With new partnerships launching and strong investment in credit capability, this is a dynamic environment where you can make a visible impact. You will join a collaborative team known for long‑term development and progression.

The Role
* Manage credit risk performance across a key retail finance portfolio.
* Deliver analytics using SAS or SQL and support forecasting for bad debt and pricing.
* Use MI, CRA data, and third‑party sources to produce actionable insight.
* Present recommendations to internal stakeholders and external partners.
* Identify optimisation opportunities across acquisition and portfolio strategy.

Your Skills and Experience
* Strong experience in credit risk, retail lending, or portfolio analytics.
* Proficient in SAS or SQL with strong Excel skills; Python is beneficial.
* Confident interpreting MI and credit bureau data.
* Able to communicate insights clearly to stakeholders.

What They Offer
* Salary between £60,000 and £70,000.
* Hybrid working with three days in Birmingham.
* Benefits package with flexible options and clear progression opportunities.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ENGINEER

£50,000-£60,000 + BENEFITS

BIRMINGHAM (Hybrid)

This is an exciting opportunity to join a growing analytics function at a time of significant business expansion. You will play a key role in ensuring reliable, accessible data for teams across the organisation, while helping shape a more modern data environment.

THE COMPANY:

They are a long‑established manufacturer within the healthcare sector, supplying specialist products across the UK and internationally. With strong year‑on‑year growth and an expanding digital presence, they are investing in analytics to better support sales, marketing, production, and quality teams.

THE ROLE:

You will support the organisation by maintaining and improving core data pipelines across Azure and ensuring stable, high‑quality data for analysts and business stakeholders. Key responsibilities include:

• Managing daily data transfers from legacy systems into Azure SQL
• Maintaining and enhancing pipelines
• Building new pipelines and APIs where required
• Carrying out web scraping to gather customer insight
• Supporting data architecture improvements and reducing duplication in the environment

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience with Azure, Python, and SQL
• Proven experience managing and maintaining data pipelines
• Confident working with APIs and integrating multiple data sources
• Comfortable collaborating with non‑technical stakeholders and supporting a small team

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £60,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

£65,000 – £75,000

Manchester or Leeds (Hybrid)

This is an opportunity to join a growing, modern banking organisation that is investing heavily in its data platform as it scales. You will have a real impact on how data is engineered, governed and made ready for analytics and AI across the business.

THE COMPANY

They are a UK‑licensed banking organisation offering commercial banking, SME lending and financial infrastructure to a wide network of fintech clients.

THE ROLE

As a Senior Data Engineer, you will join the Data and AI function and take ownership of core data engineering work while shaping best practices and supporting the wider team.

Specifically, you can expect to be involved in the following:

• Designing and building scalable ELT and ETL pipelines across a cloud environment.
• Developing curated data models to support analytics, reporting and operational use cases.
• Improving performance, cost efficiency and reliability of the cloud data warehouse.
• Embedding data quality, observability and governance controls.
• Providing guidance and mentorship to other data engineers

SKILLS AND EXPERIENCE

The successful Senior Data Engineer will have the following skills and experience:

• Hands‑on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM.
• Proficiency in SQL and Python for data processing and orchestration tools such as Airflow
• Experience with modern modelling approaches and tooling such as dbt.
• Practical experience with infrastructure as code and CI/CD practices

BENEFITS

The successful Senior Data Engineer will receive the following benefits:

• Salary between £65,000 – £75,000 – depending on experience
• Benefits – Hybrid working (2 days in office a week), private health plan, life assurance and more.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Are you a BI Analyst who loves solving complex problems, shaping strategy through insight, and building modern analytics from the ground up? I’m hiring for a Senior BI & Insights Analyst at a fast‑growing organisation that’s using data, innovation, and technology to drive meaningful impact. This is a brilliant opportunity for someone who wants ownership, variety, and influence across multiple business areas.

You’ll play a key role in helping the business move away from siloed, Excel‑heavy reporting into a scalable, centralised analytics culture, designing dashboards, delivering insights, and driving data literacy across teams. You’ll work across finance, compliance, people, customer, marketing, product, and sales, partnering with stakeholders from day one.

Salary: £45k-£50k

Remote (UK)

What you’ll be doing

• Lead end‑to‑end BI and analytics projects, from defining the problem to deploying the solution.
• Design dashboards, reporting frameworks, and analytical methodologies that drive measurable business value.
• Partner with stakeholders to define KPIs, understand challenges, and translate requirements into actionable insights.
• Measure the impact and ROI of analytics work, ensuring outputs influence strategy and decision‑making.
• Work across Salesforce, NetSuite, HR, finance, and operational systems.
• Collaborate with data engineering teams to ensure pipelines are reliable, scalable, and high‑quality.
• Lead workshops, insight playbacks, and training sessions to boost data literacy across teams.
• Document processes, create self‑serve materials, and help replace siloed Excel reporting with modern BI.
• Optimise existing dashboards and introduce best practices in analytics and emerging tools.

What you bring

• Expertise in Power BI.
• Strong SQL; Python or R is a bonus.
• Experience with data modelling (dimensional, star schema, semantic layers).
• Understanding of data pipelines and cloud platforms (AWS, Azure, Snowflake, GCP).
• Strong business acumen – able to turn strategy into analytics.
• A track record of delivering insights that lead to measurable outcomes.
• Problem‑solver, critical thinker, and confident communicator.

Why this role

• High autonomy and ownership – you influence how analytics is done across the business.
• Huge variety – you’ll work across multiple functions and make a real impact.
• A chance to shape BI foundations, processes, and capability as the organisation scales.
• A forward‑thinking environment that embraces innovation and change.

To Apply for this Job Click Here

To Apply for this Job Click Here

Are you a BI Analyst who loves solving complex problems, shaping strategy through insight, and building modern analytics from the ground up? I’m hiring for a Senior BI & Insights Analyst at a fast‑growing organisation that’s using data, innovation, and technology to drive meaningful impact. This is a brilliant opportunity for someone who wants ownership, variety, and influence across multiple business areas.

You’ll play a key role in helping the business move away from siloed, Excel‑heavy reporting into a scalable, centralised analytics culture, designing dashboards, delivering insights, and driving data literacy across teams. You’ll work across finance, compliance, people, customer, marketing, product, and sales, partnering with stakeholders from day one.

Salary: £45k-£50k

Remote (UK)

What you’ll be doing

• Lead end‑to‑end BI and analytics projects, from defining the problem to deploying the solution.
• Design dashboards, reporting frameworks, and analytical methodologies that drive measurable business value.
• Partner with stakeholders to define KPIs, understand challenges, and translate requirements into actionable insights.
• Measure the impact and ROI of analytics work, ensuring outputs influence strategy and decision‑making.
• Work across Salesforce, NetSuite, HR, finance, and operational systems.
• Collaborate with data engineering teams to ensure pipelines are reliable, scalable, and high‑quality.
• Lead workshops, insight playbacks, and training sessions to boost data literacy across teams.
• Document processes, create self‑serve materials, and help replace siloed Excel reporting with modern BI.
• Optimise existing dashboards and introduce best practices in analytics and emerging tools.

What you bring

• Expertise in Power BI.
• Strong SQL; Python or R is a bonus.
• Experience with data modelling (dimensional, star schema, semantic layers).
• Understanding of data pipelines and cloud platforms (AWS, Azure, Snowflake, GCP).
• Strong business acumen – able to turn strategy into analytics.
• A track record of delivering insights that lead to measurable outcomes.
• Problem‑solver, critical thinker, and confident communicator.

Why this role

• High autonomy and ownership – you influence how analytics is done across the business.
• Huge variety – you’ll work across multiple functions and make a real impact.
• A chance to shape BI foundations, processes, and capability as the organisation scales.
• A forward‑thinking environment that embraces innovation and change.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

£80,000 – £90,000

Remote (UK-Based)

This is an exciting opportunity to shape and build a brand‑new data ecosystem within a growing organisation investing heavily in its technology function.

THE COMPANY

They are a specialist healthcare provider delivering high‑demand clinical services across both public and private sectors. Data plays a central part in improving operations, enhancing patient journeys, and enabling evidence‑based decision making across the organisation.

THE ROLE

As a Senior Data Engineer, you will take ownership of the development and delivery of core data products and infrastructure. You will work closely with data, product, and executive stakeholders to build a trusted, scalable foundation for the company’s analytics and long‑term machine learning ambitions.

Specifically, you can expect to be involved in the following:

• Designing scalable data architecture that supports analytics, reporting, and ML workloads.
• Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL.
• Driving best practice, including CI/CD, observability, documentation, and automation.
• Creating datasets and reusable data models for dashboards and performance monitoring.
• Managing the cloud data warehouse and ensuring data quality, reliability, and performance.
• Supporting the move towards MLOps capability, including versioning and reproducibility.

SKILLS AND EXPERIENCE

The successful Senior Data Engineer will have the following skills and experience:

• Strong commercial experience in SQL and Python for data engineering.
• Hands‑on experience working with cloud technologies such as Azure, AWS, or GCP.
• Practical experience building and maintaining data pipelines in production environments.
• Understanding of modern data warehouse design and analytics platform development.
• Experience with tools such as PostgreSQL, MySQL, SSRS, or similar.
• Exposure to CI/CD, Docker, and engineering best practice.

BENEFITS

The successful Senior Data Engineer will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer

Hybrid: Birmingham

Salary: £45000 to £50000.

This is an exciting opportunity to step into a hands on Data Engineer role within an analytics team that is growing in both scope and influence. You will play a key part in stabilising and evolving a broad data environment while supporting a business that is increasing its digital footprint and analytical maturity.

The Company

They are an established manufacturer in the healthcare space with a strong reputation for product quality, research, and customer care. The organisation is scaling quickly, expanding internationally, and investing in data as a core enabler for decision making. The culture is collaborative and people focused, with a close knit feel, modern office space, and regular exposure to senior leadership. Their analytics function partners with sales, marketing, operations, and quality teams to provide insight across the business.

The Role

* Maintain and enhance core data pipelines across Azure.

* Manage nightly data ingestion from legacy operational systems into Azure SQL.

* Build and maintain integrations for CRM, NHS datasets, Google Analytics, and distributor reporting.

* Conduct web scraping using Python to support customer and market insight.

* Improve data architecture, addressing duplicated, inconsistent, or ad hoc datasets.

* Support analysts by ensuring reliable access to clean, accurate data.

* Work closely with IT on infrastructure and large data assets.

* Produce reporting inputs for sales, marketing, production planning, and quality teams.

* Build dashboards and support insight generation for stakeholders across the business.

Your Skills and Experience

* Strong commercial experience with Azure, Python and SQL.

* Confident managing and maintaining data pipelines in a production environment.

* Comfortable working with APIs and integrating third party data sources.

* Able to work hands on from day one and adapt within a mixed modern and legacy environment.

* Experience with any of the following is beneficial: Tableau, web scraping, CRM integrations, digital analytics, or working with large healthcare datasets.

How to Apply

If this sounds like the right next step for you, please apply with your CV and we will be in touch.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Credit Risk Analyst

Up to £55,000

Hybrid

West Midlands

The Company

I am hiring a Senior Credit Risk analyst for lending business that leads the way on all types of unsecured lending for a large consumer base across the UK. Within this role you will help drive credit risk strategy using analytics to drive companywide profitability.

The Role

As a Senior Credit Risk Analyst, you will be:

• Reporting on credit risk insights and trends to senior stakeholders
• Using analytics skills to improve credit risk strategies
• Helping manage the credit risk customer lifecycle
• Spotting trends to find new ways to increase profitability for credit risk
• Developing new credit risk strategies across the business for acquisitions and existing customers.
• Working with and presenting to senior stakeholders daily within the role.

Your skills and experience:

To be successful as a Senior Credit Risk Analyst, you will need:

• Strong experience with SAS and/or SQL
• Experience as a credit risk analyst in an analytical position
• Experience developing credit strategies for acquisitions, ECM, or collections.
• Experience working in financial services
• Strong stakeholder management & excellent communication skills
• STEM Degree from a top university

Benefits

Up to £55,000 + benefits package

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Fraud Strategy Analyst

Up to £55,000

Hybrid

West Midlands

Company:

One of our fintech banking clients is looking for a strong Senior Fraud Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python.

Responsibilities:

As a Senior Fraud Strategy Analyst, you will be responsible for:

• Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers
• Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules.
• Managing and mitigating various types of fraud with a focus on application fraud.
• Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
• Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.

Key Requirements:

• Extensive experience in developing comprehensive fraud strategies.
• Proficiency in SAS, SQL, and/or Python
• In-depth knowledge of different types of frauds, ideally with experience in Application Fraud.
• Experience working with different fraud systems (Ideally Hunter & Cifas)

Salary: Up to £55,000 Per Year + Strong Benefits Package

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data Engineer

£80,000 – £90,000

Remote (monthly meets in London)

This is a rare chance to join an early-stage data consultancy where you will shape technical delivery, build from the ground up, and work directly with clients on high impact projects. If you want true ownership, variety across industries, and the opportunity to build real solutions rather than maintain legacy platforms, this role offers exactly that.

THE COMPANY

They are a young, fast-growing consultancy focused on data engineering and machine learning. Backed by a clear vision and strong funding runway, they partner with organisations to modernise manual, fragmented data processes. Their work spans industries, including asset focused, creative sectors.

THE ROLE

As Lead Data Engineer, you will take ownership of technical delivery while working closely with clients from the very first conversation.

Specifically, you can expect to be involved in the following:

• Join client meetings to understand challenges, assess requirements and shape solution thinking.
• Lead the design and build of ingestion, transformation and centralisation pipelines.
• Work with raw and unstructured data sources – spreadsheets, PDFs and operational documents.
• Build automation capabilities and prepare environments for downstream machine learning.
• Split your time across delivery, technical consulting and internal engineering work.
• Work across cloud environments, typically GCP, AWS or Azure depending on the client.

SKILLS AND EXPERIENCE

The successful Lead Data Engineer will have the following skills and experience:

• Strong commercial experience building data pipelines and platforms end-to-end.
• Hands on engineering across ingestion, transformation and data centralisation.
• Experience with tools such as Glue, Fivetran, Kafka, Dataflow, ADF or Kinesis.
• Transformation experience using dbt, Spark or Databricks.
• Confidence working directly with clients and engaging in technical discussions.
• Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential.

BENEFITS

The successful Principal Data Engineer will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here