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Principal Data Architect

Location: Dallas, TX (Hybrid – 4 Days Onsite Weekly)
Compensation: $170,000 Base Salary (flexibility for exceptional candidates) + Comprehensive Benefits
Work Authorization: Candidates must be authorized to work in the U.S. now and in the future. No sponsorship or visa transfers available.

About the Opportunity

Our client, a large enterprise organization undergoing a major data modernization and AI transformation, is seeking a Principal Data Architect to help shape the future of its enterprise data ecosystem.

This is a high-impact, highly visible role offering direct exposure to executive leadership and the opportunity to influence enterprise-wide technology strategy. The successful candidate will be responsible for defining architectural roadmaps, modernizing legacy platforms, enabling AI capabilities, and guiding the organization’s journey from current-state to future-state architecture.

This opportunity is ideal for someone who combines strong architectural leadership with a hands-on data engineering background and thrives in a transformation-focused environment.

Key Responsibilities

• Assess and document current-state data architecture, platforms, and integrations
• Design future-state enterprise data architecture and transformation roadmaps
• Develop architectural standards and reusable patterns for:
  • Real-time data processing
  • Streaming architectures
  • Batch data processing
  • Enterprise and consumer data platforms
• Create and maintain architecture diagrams, data flows, and implementation plans
• Partner with business and technology leaders to align architecture decisions with strategic objectives
• Support enterprise initiatives across fraud, risk, analytics, AI, and other critical business functions
• Define phased implementation strategies, including resource planning and execution sequencing
• Evaluate emerging technologies and recommend solutions based on business use cases
• Provide technical leadership and architectural guidance to engineering teams
• Participate in architecture reviews, proof of concepts, and technical solution validation

Required Qualifications

• 10+ years of experience in Data Engineering, Software Engineering, Data Architecture, or related disciplines
• Experience designing and implementing enterprise-scale data platforms and architectures
• Strong background creating technology roadmaps and leading transformation initiatives
• Ability to connect technical decisions to measurable business outcomes
• Experience operating within large, complex organizations (1,000+ employees preferred)
• Proven ability to work independently and drive initiatives with minimal oversight

Technical Requirements

Required Experience

• AWS Cloud
• Kafka (Confluent or Open-Source Kafka)
• Event-driven and streaming architectures
• Real-time data processing
• Batch processing frameworks
• Enterprise integration patterns
• Data architecture and platform modernization

Preferred Experience

• Snowflake
• Fivetran
• dbt
• AI/GenAI architecture and implementation

AI & Innovation Focus

As part of the organization’s technology strategy, AI will play a significant role in future-state architecture.

The ideal candidate will have exposure to:

• Retrieval-Augmented Generation (RAG)
• Large Language Model (LLM) concepts
• AI platform architecture
• Token management and optimization strategies
• AI tooling evaluation and implementation
• Use-case driven AI adoption

We’re looking for someone who is naturally curious, stays current on emerging technologies, and can articulate how modern AI capabilities create business value.

Preferred Industry Experience

Experience within one or more of the following industries is highly desirable:

• Financial Services
• Banking
• Healthcare
• Travel
• Hospitality

Why This Role?

• Direct visibility with senior and executive leadership
• Opportunity to influence enterprise technology strategy
• Lead large-scale modernization and transformation initiatives
• Help shape the organization’s AI roadmap
• Work with modern cloud, streaming, and data technologies
• Drive meaningful business outcomes and measurable change

This is an opportunity to build something transformational-not simply maintain existing systems.

Interview Process

1. Initial Interview (45 minutes)
2. Onsite Team Panel Interview
3. Final Executive Interview

If you’re interested in learning more about this confidential opportunity, please apply directly or contact me for a private discussion.

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Data Engineer – Fivetran Expert

Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.

Overview

We are seeking a highly skilled Data Engineer with deep expertise in Fivetran to join our growing data and analytics team. This individual will play a key role in designing, implementing, and optimizing scalable data integration solutions that power business intelligence, analytics, and data-driven decision-making across the organization.

The ideal candidate will have extensive experience leveraging Fivetran to build and manage automated ELT pipelines, integrate data from multiple source systems, and support enterprise-scale cloud data platforms. Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.

Responsibilities

• Design, develop, and maintain scalable data integration pipelines using Fivetran and modern cloud-based data technologies.
• Configure, manage, and optimize Fivetran connectors for a wide variety of source systems, including SaaS platforms, databases, APIs, and enterprise applications.
• Monitor pipeline health, troubleshoot synchronization issues, and ensure reliable data delivery across the organization.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Develop and maintain enterprise data warehouse solutions within Snowflake and other cloud data platforms.
• Implement data quality, governance, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
• Optimize data ingestion performance, pipeline efficiency, and overall platform cost management.
• Create and maintain technical documentation for data integrations, architecture, workflows, and best practices.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting, analytics, and machine learning initiatives.
• Troubleshoot and resolve data issues, connector failures, schema changes, and performance bottlenecks.
• Participate in architecture discussions and contribute to the organization’s overall data strategy and modernization efforts.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Integration, Data Warehousing, or related roles.
• Expert-level experience with Fivetran, including connector configuration, deployment, monitoring, optimization, and troubleshooting.
• Strong experience with Snowflake or similar cloud data warehouse platforms.
• Advanced SQL development and query optimization skills.
• Hands-on experience designing and managing scalable ELT pipelines and modern data architectures.
• Experience integrating data from multiple source systems, including SaaS applications, relational databases, APIs, and cloud platforms.
• Strong understanding of data modeling principles, data warehousing concepts, and analytics-ready data structures.
• Experience implementing data validation, monitoring, and governance frameworks.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with transformation frameworks such as dbt.
• Experience with orchestration and workflow tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines, DataOps practices, and modern data stack architectures.
• Experience working in Agile development environments.

Key Skills

• Fivetran
• Data Integration & Automation
• ELT Pipeline Development
• Snowflake
• SQL
• Cloud Data Warehousing
• Data Modeling
• SaaS & API Integrations
• AWS, Azure, and GCP
• Data Quality & Governance
• Performance Optimization
• Business Intelligence & Analytics

Additional Information

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate

A hands-on Data Engineer with deep Fivetran expertise who thrives in a collaborative environment and enjoys building scalable, reliable, and automated data integration solutions. This professional excels at connecting disparate data sources, ensuring high-quality data delivery, and enabling analytics teams with trusted data. Experience supporting Snowflake environments and modern data stack technologies is highly desirable, while financial services experience is a strong plus.

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Data Engineer – dbt & Snowflake Expert

Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.

Overview

We are seeking a highly skilled Data Engineer with deep expertise in dbt (Data Build Tool) and Snowflake to join our growing data and analytics team. This individual will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data solutions that enable business intelligence, analytics, and data-driven decision-making across the organization.

Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-based technologies.
• Build, optimize, and manage data models in dbt, following best practices for testing, documentation, and maintainability.
• Develop and maintain enterprise data warehouse solutions within Snowflake.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Optimize Snowflake performance, scalability, and cost efficiency.
• Implement data quality, governance, and monitoring frameworks to ensure accuracy and reliability.
• Create and maintain technical documentation for data architecture, models, and workflows.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting and advanced analytics initiatives.
• Troubleshoot and resolve data issues, pipeline failures, and performance bottlenecks.
• Participate in architecture discussions and contribute to the overall data strategy.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
• Expert-level experience with dbt and Snowflake.
• Strong SQL development and query optimization skills.
• Experience designing and building scalable ETL/ELT pipelines.
• Hands-on experience with cloud-based data platforms and modern data stack technologies.
• Strong understanding of data modeling principles, including dimensional and star schema design.
• Experience implementing data validation, testing, and monitoring frameworks.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines and DataOps best practices.
• Experience working in Agile development environments.

Key Skills

• Snowflake
• dbt (Data Build Tool)
• SQL
• Data Warehousing
• ETL/ELT Development
• Data Modeling
• Cloud Platforms (AWS, Azure, GCP)
• Data Governance & Quality
• Performance Optimization
• Business Intelligence & Analytics

Additional Information

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate: A hands-on Data Engineer with deep dbt and Snowflake expertise who thrives in a collaborative environment and enjoys building scalable, high-quality data solutions that drive business value. Financial services experience is a strong plus but not required.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Credit Pricing Manager
Liverpool
£75,000 to £89,000

This is a high impact leadership role for a senior credit pricing professional who wants to shape how pricing is done at scale. You will step into a newly formed commercial analytics function with the remit to modernise credit pricing, influence senior decision making, and build a clear link between customer outcomes, risk and long term profitability.

The Company
They are a large scale UK consumer business operating at the intersection of digital commerce and regulated financial services. With millions of active customers and a strong focus on flexible payment and credit products, data sits at the heart of how they acquire, retain and support customers. Following recent investment and strong financial performance, they are continuing to invest heavily in analytics, pricing and decision science.

The Role
You will take ownership of credit pricing strategy across customer acquisition and lifecycle pricing, with responsibility for both commercial performance and fair value outcomes. Key responsibilities include:

• Defining and delivering pricing strategies across credit products, balancing growth, risk and customer value
• Owning pricing and fair value governance and representing pricing in senior forums and committees
• Setting and managing valuation frameworks including NPV, IRR and risk adjusted margins
• Using data, forecasting and experimentation to optimise pricing performance
• Translating complex analysis into clear recommendations for senior stakeholders
• Leading and developing a team of analysts and data scientists within a growing commercial analytics function
• Partnering with product, risk, analytics and engineering teams to improve data quality and pricing capability

Your Skills and Experience

• Strong commercial experience within credit, lending or wider financial services pricing
• Deep understanding of unit economics and lifetime value decision making
• Experience designing and interpreting pricing tests and experimentation such as A B testing
• Ability to build and challenge pricing and cashflow models, even if not hands on day to day
• Confident stakeholder management skills with the ability to influence at senior level
• Proven people leadership experience and a first principles approach to problem solving
• Backgrounds from credit, lending, debt, finance or analytically mature retail environments are all of interest

What They Offer

• Company bonus scheme
• Private medical
• 30 days holiday plus bank holidays
• Pension scheme

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

London – 2x a week

The Role

As a Senior Data Scientist, you will:

• Develop and enhance credit risk and decisioning models using customer, credit bureau, transactional, and internal datasets.
• Analyse portfolio performance across originations, arrears, defaults, recoveries, and customer behaviour.
• Identify opportunities to improve underwriting strategies and customer decisioning.
• Produce actionable insights from large, complex, and sometimes incomplete datasets.
• Build monitoring frameworks and reporting to track model and portfolio performance.
• Support the deployment and optimisation of analytical solutions within production environments.
• Investigate data quality issues and drive improvements across reporting and decisioning processes.
• Work closely with risk, product, engineering, and commercial stakeholders to deliver data-driven solutions.
• Contribute to model governance, validation, and documentation activities.

Skills & Experience

• Strong Python experience across analytics, modelling, and data processing.
• Hands-on experience working within AWS environments, including services such as Lambda, EC2, SageMaker, RDS, and CloudWatch.
• Proven track record developing and validating predictive models, including logistic regression and machine learning techniques.
• Strong understanding of consumer credit risk, affordability assessment, and lending decisioning.
• Excellent analytical and problem-solving skills with a rigorous attention to detail.
• Experience translating complex analysis into clear recommendations for business stakeholders.
• A proactive, ownership-driven mindset and ability to thrive in a fast-paced environment.

What They Offer

• Competitive salary
• Be part of a fast-growing, data-led business.
• Work on high-impact projects with direct business visibility.
• Influence lending decisions and strategic direction.
• Collaborate with experienced professionals across risk, product, and technology.
• Enjoy significant autonomy and ownership in a highly collaborative environment.

How to Apply

Please get in touch to learn more about this role.

To Apply for this Job Click Here

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Senior Valuations Manager
London
£120,000 to £150,000 plus benefits.

This is a high impact leadership role where you will shape how valuation and NPV models are designed and used across a modern consumer lending business. You will move beyond traditional approaches, embedding sophisticated valuation models directly into credit decisioning and strategy.

The Company
They are a fast growing, profitable digital financial services organisation operating across multiple consumer lending and banking products. With significant investment in analytics and technology, they place strong emphasis on data driven decision making. Valuations sit at the heart of their growth strategy.

The Role

• Set the strategic direction for valuation, NPV and IRR modelling across lending products
• Build and evolve account level valuation models used in live decisioning
• Partner with Credit Risk, Product, Finance and Impairment teams
• Lead and develop a team of credit analysts with close links to data science
• Drive innovation in valuation methodology and modelling infrastructure

Your Skills & Experience

• Strong commercial experience in valuation, NPV and IRR modelling within consumer lending
• Proven ability to build models from first principles
• Strong conceptual thinker with confidence to challenge existing approaches
• Python experience within modelling environments
• Effective people leadership and senior stakeholder management

What They Offer

• Salary of £120,000 to £150,000 plus benefits
• Hybrid working with flexibility
• High visibility role with genuine influence on credit and growth strategy
• Clear scope for career progression

To Apply for this Job Click Here

To Apply for this Job Click Here

CRO Manager

£45,000 – £60,000

Macclesfield (3 days a week on-site)

This is an exciting opportunity for a CRO Manager to take ownership of conversion rate optimisation and experimentation within a growing digital business. Joining at a pivotal stage, you will have the chance to shape the CRO function, influence strategy, and deliver measurable commercial impact across multiple customer journeys and digital products.

THE COMPANY

They are a fast-growing digital organisation with an international presence and a diverse portfolio of online brands and products. Their business is focused on delivering high-quality customer acquisition through digital channels, supported by strong investment in marketing, technology, and data-driven decision-making.

As they continue to expand, they are bringing conversion rate optimisation in-house, creating a unique opportunity for someone to establish best practices, drive experimentation, and help build a high-performing optimisation function.

THE ROLE

As a CRO Manager, you will lead CRO strategy across multiple digital brands, products, and acquisition funnels, working closely with cross-functional teams to improve customer journeys and conversion performance.

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

• Owning the CRO and experimentation roadmap across multiple digital products
• Designing, executing, and analysing A/B and multivariate testing programmes
• Developing hypotheses based on user behaviour, analytics, and business objectives
• Identifying opportunities to improve conversion rates and customer experience
• Partnering with Product, Marketing, and Development teams to implement test plans
• Measuring, reporting, and communicating the commercial impact of experimentation
• Establishing CRO frameworks, processes, and best practices
• Supporting the future growth and development of the internal CRO capability

SKILLS AND EXPERIENCE

The successful CRO Manager will have the following skills and experience:

• Strong commercial experience in conversion rate optimisation and experimentation
• Proven success running A/B testing programmes and delivering measurable results
• Expertise in hypothesis development, test design, and optimisation methodologies
• Experience using experimentation platforms such as Optimizely, VWO, Convert.com, or similar
• Strong analytical skills with the ability to interpret user behaviour and performance data
• Confident communicating insights and influencing stakeholders across the business
• Experience within lead generation, ecommerce, digital marketing, or performance-driven environments is advantageous

BENEFITS

The successful CRO Manager will receive the following benefits:

• Salary between £45,000 – £60,000 – 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

Decision Science Lead
London
£70,000 to £90,000 plus benefits

This is an opportunity to step into a high impact Decision Science Lead role within a fast growing fintech environment. You will play a key role in shaping credit risk strategy through advanced analytics and machine learning, with strong exposure to senior stakeholders and clear progression opportunities.

The Company
They are a scaling fintech business operating in the consumer lending space, focused on delivering innovative, data driven solutions. With a strong market presence and growing customer base, they are competing with some of the largest players in the industry. The business combines a collaborative, agile culture with a clear ambition to continue expanding its analytics capability.

The Role

• Develop and enhance credit risk models including scorecards, behavioural, acquisition and fraud models
• Build predictive models using advanced statistical and machine learning techniques
• Deploy models into production using AWS SageMaker and collaborate with engineering teams
• Monitor model performance and ensure ongoing effectiveness across business and technical metrics
• Generate insights and present clear, actionable recommendations to stakeholders
• Explore new data sources and modelling approaches to drive innovation
• Work closely with cross functional teams to influence lending and risk decisions

Your Skills and Experience

• Strong commercial experience within consumer credit and lending environments
• Proven ability to develop credit risk models, including scorecards or predictive models
• Strong programming skills in Python and SQL with experience working in cloud environments such as AWS
• Solid grounding in statistics and machine learning
• Experience working with large, complex datasets and delivering business insights
• Strong communication skills with the ability to influence stakeholders
• Experience with model deployment is highly beneficial
• Exposure to dbt is desirable

What They Offer

• Salary between £70,000 and £90,000
• Hybrid working with two to three days in the office each week
• Competitive benefits package including bonus, pension and private medical cover
• Strong career progression opportunities within a growing data function
• A collaborative and supportive working environment with exposure to senior leadership

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer (dbt & Snowflake Expert)

Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.

Overview

We are seeking a highly skilled Data Engineer with deep expertise in dbt (Data Build Tool) and Snowflake to join our growing data and analytics team. This individual will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data solutions that enable business intelligence, analytics, and data-driven decision-making across the organization.

Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-based technologies.
• Build, optimize, and manage data models in dbt, following best practices for testing, documentation, and maintainability.
• Develop and maintain enterprise data warehouse solutions within Snowflake.
• Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
• Optimize Snowflake performance, scalability, and cost efficiency.
• Implement data quality, governance, and monitoring frameworks to ensure accuracy and reliability.
• Create and maintain technical documentation for data architecture, models, and workflows.
• Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting and advanced analytics initiatives.
• Troubleshoot and resolve data issues, pipeline failures, and performance bottlenecks.
• Participate in architecture discussions and contribute to the overall data strategy.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
• Expert-level experience with dbt and Snowflake.
• Strong SQL development and query optimization skills.
• Experience designing and building scalable ETL/ELT pipelines.
• Hands-on experience with cloud-based data platforms and modern data stack technologies.
• Strong understanding of data modeling principles, including dimensional and star schema design.
• Experience implementing data validation, testing, and monitoring frameworks.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
• Knowledge of CI/CD pipelines and DataOps best practices.
• Experience working in Agile development environments.

Key Skills

• Snowflake
• dbt (Data Build Tool)
• SQL
• Data Warehousing
• ETL/ELT Development
• Data Modeling
• Cloud Platforms (AWS, Azure, GCP)
• Data Governance & Quality
• Performance Optimization
• Business Intelligence & Analytics

Additional Information

• Location: Dallas, TX
• Schedule: Onsite 4 days per week
• Salary: Up to $160,000 base salary
• Bonus: Eligible for annual performance bonus
• Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.

Ideal Candidate: A hands-on Data Engineer with deep dbt and Snowflake expertise who thrives in a collaborative environment and enjoys building scalable, high-quality data solutions that drive business value. Financial services experience is a strong plus but not required.

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Engineering Manager

Location: Amsterdam, Netherlands (Hybrid)

Salary: €100-115k

This is an opportunity to lead the data foundation of a large-scale digital business where data sits at the heart of every product, analytics, and commercial decision. You will combine people leadership, technical ownership, and strategic influence while shaping a modern analytics engineering function operating at significant scale.

The Company

They are a well-established digital organisation with a strong data-driven culture and a substantial investment in data and analytics. Their teams rely on trusted, high-quality data to support decision-making across product, commercial, and leadership functions. The business is continuing to evolve its data platform, creating an opportunity for an experienced Analytics Engineering Manager to have a visible and lasting impact. You will work closely with senior stakeholders while helping to define the future direction of their data ecosystem.

The Role

You will be responsible for leading the analytics engineering capability and ensuring the data platform remains scalable, reliable, and trusted across the organisation.

Responsibilities include:

• Leading, coaching, and developing a team of Analytics Engineers and Data Engineers
• Owning data ingestion pipelines, transformation workflows, and data warehouse orchestration
• Designing and maintaining scalable data models that support analytics and business reporting
• Establishing and governing a semantic layer to ensure consistent metric definitions
• Driving automation across analytics engineering processes to improve efficiency and scalability
• Setting engineering best practices including CI/CD, code reviews, testing, and version control
• Improving platform performance, reliability, observability, and data quality standards
• Managing warehouse optimisation initiatives and controlling data platform costs
• Partnering with analytics, engineering, and business teams to align data capabilities with business needs
• Communicating platform strategy, priorities, risks, and investment requirements to senior stakeholders

Your Skills & Experience

• Strong leadership experience managing Analytics Engineering or Data Engineering teams
• Deep expertise in modern cloud-based data platforms and large-scale data warehousing environments
• Strong knowledge of ELT/ETL architecture, data modelling, and orchestration frameworks such as Airflow, dbt, or similar technologies
• Experience building reliable, observable, and well-governed data platforms
• Strong understanding of data quality, monitoring, testing, lineage, and data contracts
• Experience optimising data platform performance and managing cloud data costs
• Software engineering best practices including Git-based workflows, CI/CD, and automated testing
• Ability to balance technical leadership, delivery ownership, and people management
• Strong stakeholder management skills with the ability to communicate technical concepts to non-technical audiences
• Exposure to AI-assisted engineering workflows, automation, or productivity-enhancing tooling is advantageous
• Experience with streaming or near real-time data environments would be beneficial

What They Offer

• Opportunity to lead a strategically important data engineering function
• High levels of ownership and influence over platform direction and standards
• Exposure to complex, large-scale data challenges
• A collaborative and data-focused environment with strong executive sponsorship
• Clear opportunities for professional growth and leadership development

How to Apply

If you are an experienced Analytics Engineering Manager looking to shape the future of a modern data platform, apply now to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Engineer

Up to £100,000
*Kafka or Kinesis required
London (4 days onsite)

This is a great opportunity to join a high‑growth organisation where you can take ownership of building and architecting a greenfield data platform for an AI‑driven product.

THE COMPANY:

This is an early-stage, venture-backed company building the operating system for modern property management through its AI platform.

THE ROLE:

You will take ownership of the entire data architecture, acting as the most senior individual contributor within Data Engineering. This is a hands-on leadership role focused on technical ownership rather than people management.
Key responsibilities include:

• Designing and owning the company’s data architecture from the ground up
• Building scalable batch and real-time data pipelines
• Developing data ingestion, storage, and transformation frameworks
• Supporting AI and machine learning infrastructure, including vector search systems
• Implementing data quality, monitoring, and observability practices
• Collaborating closely with AI, backend engineering, and product teams
• Optimising performance, scalability, and reliability of large datasets
• Influencing long-term technical strategy and laying foundations for the data function

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python development and building scalable distributed data systems
• Data architecture design and pipeline development
• Batch and streaming data processing
• Relational databases (PostgreSQL or similar)
• NoSQL and modern vector databases (e.g., Qdrant, Milvus, pgvector)

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience.

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