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Head of Data Engineering

Location: West Midlands
Hybrid Policy: 3 days per week in the office (flexible on which days)
Salary: £120,000 – £130,000 + £7,500 car allowance + exceptional bonus & benefits

An established, financial services group is on the lookout for a Head of Data Engineering to lead their data platform transformation – a critical migration from legacy systems (SQL Server) to modern Azure cloud technologies.

You’ll oversee a 40-person team of engineers (across the UK and offshore), guide delivery of critical regulatory and treasury projects, and work closely with senior leaders to ensure smooth delivery and long-term modernization. This is a hands-on leadership role – ideal for someone who thrives in both strategy and delivery.

Ideal Candidate:

• Proven leadership of large data engineering teams (UK and offshore)

• Deep expertise in SQL Server, and experience migrating to Azure cloud

• Experience managing third-party partners/vendors

• Ability to stay hands-on to mentor teams on technical delivery

• Background in the banking / financial services sector

• Strategic mindset with a delivery-focused leadership style

Tech Environment:

• Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI)

• SQL, Python

• Legacy systems primarily in SQL Server

Interview Process:

• Initial 30-minute informal converdation

• 60-minute technical/competency interview with Engineering Managers

• Final 90 minute session with senior leadership (CDO, CTO, CIO)
  

• All applicants will undergo standard pre-employment checks (financial, DBS, references)

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DATA SCIENTIST (PRICING)

£70,000 + BENEFITS

PRIMARILY REMOTE

If you’re are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.

THE COMPANY:

I’m working on a fantastic opportunity with a fast-growing SaaS company that’s transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.

THE ROLE:

You’d join a high-calibre team in a full-stack data science role. This role will be deeply analytical and mathematical, with an emphasis on exploratory modelling and research-driven development. You will set and optimise prices, using statistical techniques and bespoke modelling solutions. A Data Scientist (Pricing) will need to:

• Build prototypes and conduct in-depth experimentation using Python and Pandas
• Research and develop new pricing models
• Apply statistical and machine learning techniques
• Explore and test data-driven approaches to price sensitivity and elasticity
• Collaborate with a highly technical team

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• MSc or PhD level of education
• Strong Python skills and experience with Pandas
• A solid foundation in Statistics and ML.
• Experience with pricing

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 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.

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HEAD OF DATA ENGINEERING

£120,000 + BENEFITS

BIRMINGHAM (Hybrid)

A strong Head of Data Engineering with experience leading large teams and driving migrations to Azure would be a great addition to this company.

THE COMPANY:

We are working with a client in the financial services space offering specialist lending and savings products. They have been investing in their data and are in the middle of a migration moving from legacy infrastructure to Azure.

THE ROLE:

You’ll be responsible for a 40-person function split across UK locations and offshore, ensuring mission-critical legacy systems continue to operate while leading the migration to modern Azure-based infrastructure. A Head of Data Engineering will need to:

• Lead and manage a 40-person Data Engineering team across multiple locations (UK and India).
• Manage and decommission four legacy data warehouses, while developing cloud-native solutions in Azure.
• Act as a mentor and technical guide to the wider engineering team during this cloud transition.
• Partner with third-party vendors to maintain and evolve the data estate

YOUR SKILLS AND EXPERIENCE:

A successful Head of Data Engineering will have the following skills and experience:

• Strong experience leading legacy-to-cloud data migrations (ideally to Azure).
• Background working with SQL Server in a regulated environment.
• Proven success managing large, distributed engineering teams (including offshore).

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £120,000 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.

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Role: Data Governance Manager / Senior Data Governance Manager
Salary: £60,000 – £95,000 + Bonus (depending on level)
WFH: 2-3 Days/Week Onsite (Hybrid) – Office in Central London

Overview

Our client, a multi-award-winning specialist consultancy in risk, analytics, and data, is hiring for a Data Governance Manager or Senior Manager to join their growing Data team. This is a key leadership and delivery role working across multiple credit risk and insurance-related client projects to embed best-in-class data governance and data management practices.

With 250+ consultants across Europe and the Middle East, the business is known for its progressive culture, employee ownership model, and commitment to redefining traditional consulting. This is a rare opportunity to step into a visible role with high impact, strong career progression, and exposure to high-profile regulatory and strategic data initiatives.

Key Responsibilities

• Define and deliver data governance frameworks across domains including data lineage, quality, metadata, and critical data elements
• Write and implement data policies and standards for clients in regulated industries
• Drive embedding of data operating models, including RACI structures, governance committees, and stakeholder engagement
• Contribute to regulatory change initiatives including IRB and BCBS 239 data requirements
• Present findings and strategic recommendations to senior stakeholders
• Maintain high standards for data handling in line with DPA and industry regulation
• Lead project teams or contribute to larger transformation programmes
• Support proposition development and continuous improvement across the team

Ideal Candidate

• Proven experience in data governance, including frameworks, policy writing, and operating model design
• Strong background in credit risk or financial services
• Experience managing or contributing to regulatory data initiatives (IRB, BCBS 239, etc.)
• Familiarity with data governance tools like Collibra or IBM IGC preferred
• Knowledge of data domains, metadata management, and business glossaries
• Excellent stakeholder engagement, communication, and influencing skills
• Commercial awareness and ability to contribute to solution design and client value

Preferred Qualifications

• DAMA, CDMP, or similar data governance certifications (desirable, not essential)
• Prior consulting experience or project-based delivery environments
• Exposure to insurance and/or banking data environments
• Ability to lead and mentor junior team members in matrix environments

Interview Process

1. Initial Chat – Culture, motivations, and mutual fit
2. Technical / Project Interview(s) – Deep dive into data governance knowledge and delivery approach
3. Final Interview – Senior stakeholder alignment and offer discussion

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Role: Senior / Principal Data Architect
Salary: £115,000 – £118,000 + Bonus
WFH: 3 Days/Week Onsite (Shoreditch)

Overview

Our client, a leading global technology and business consultancy focused on financial services, is hiring a Senior / Principal Data Architect to join their award-winning Data Practice. This is a hands-on architecture and leadership role, supporting major banking and financial services clients with modernising data infrastructure, guiding cloud transformation, and shaping scalable, best-in-class data platforms.

You’ll join a team of 800+ data professionals in a collaborative, inclusive environment that encourages innovation and values individuality. If you’re passionate about strategy, architecture, and delivering meaningful impact in data-driven transformations, this is an opportunity to lead from the front.

Key Responsibilities

• Lead complex agile consulting projects focused on data architecture design and delivery
• Advise technology leaders on modern best practices in data management
• Develop cloud-based enterprise data platforms using AWS, Azure, or GCP
• Define services and frameworks that enable efficient, scalable, and secure data management
• Contribute to internal IP and delivery frameworks across the firm’s data practice
• Manage small project teams and support capability building and business development

Ideal Candidate

• Proven experience designing and implementing enterprise data strategies and governance
• Deep knowledge of contextual, logical, and physical data modelling
• Hands-on experience with cloud data migration and architecture (AWS, Azure, or GCP)
• Strong grasp of metadata management, data privacy/security frameworks, and cloud ecosystem best practices
• Financial services project experience preferred, with stakeholder-facing communication skills
• Comfortable operating across complex environments, leading multiple workstreams

Preferred Skills & Experience

• Cloud architecture certifications (AWS/GCP/Azure)
• Experience designing data lakes and modern cloud storage patterns
• Familiarity with data cataloguing, classification, and semantic/graph modelling
• Exposure to ESG data, risk/compliance platforms, or financial crime data architectures
• An understanding of cloud cost management, automation, and network architecture

Tech Domains

• Cloud Platforms: AWS, Azure, GCP
• Data Management: Metadata tools, privacy frameworks, security architecture
• Modelling: ER, Contextual, Semantic, Logical/Physical
• Orchestration & Integration: API design, DevOps support, cloud-native workflows

Why Join?

• Work on high-impact transformation projects with top-tier global banks
• Join an agile, innovation-focused culture with flat structure and open collaboration
• Learn and grow in a highly supportive environment with extensive L&D support
• Inclusive and diverse culture with enhanced family-friendly policies
• Join the multi-award-winning data team, voted Best Consultancy in Data Management and ESG

Interview Process

1. Initial Discussion – Culture, expectations, and mutual fit
2. Technical/Project Interview(s) – Assessing delivery experience and architectural thinking
3. Final Interview – Client-facing alignment and career progression discussion

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Title: Lead Product Manager

Location: San Carlos, CA – Full-time, On-site

Company Background:

Rapidly growing Series A public safety hardware and software startup. Their mission is to revolutionize public safety through innovative technology solutions that combine cutting-edge hardware with intelligent software systems. This role will report directly to the CTO/Co-founder. This is a high-ownership role that requires someone who can drive product strategy and execution across hardware and software offerings.

Key Responsibilities:

• Define and execute product roadmap for hardware and software components, ensuring alignment with business objectives
• Serve as the strategic bridge between engineering and go-to-market teams, driving seamless collaboration across all product initiatives
• Own the entire product lifecycle from conception through launch and iteration, making critical decisions that shape the company’s future
• Work closely with engineering teams to bring innovative solutions to market while collaborating with GTM teams to ensure product-market fit
• Conduct market research and competitive analysis to identify opportunities and inform product strategy
• Manage product requirements, prioritization, and feature development in a fast-paced startup environment
• Lead product launches and go-to-market strategies to ensure successful market entry

Requirements:

• Minimum 6 years of product management or product ownership experience
• Proven experience at a hardware-focused startup (SaaS-only experience is not sufficient)
• Public safety or govtech experience strongly preferred
• Track record of successfully launching and scaling hardware products
• Experience working directly with engineering teams on complex technical products

Technical Competencies:

• Strong technical aptitude with ability to understand complex hardware and software systems
• Experience with product development processes for hardware products
• Understanding of regulatory requirements and compliance considerations in public safety markets

Leadership & Collaboration:

• Exceptional cross-functional collaboration skills, particularly with engineering and go-to-market teams
• Proven ability to drive product strategy and make data-driven decisions
• Strong ownership mentality with ability to work independently and drive results
• Experience managing complex stakeholder relationships

Additional Qualifications:

• Excellent communication and presentation skills
• Experience with agile development methodologies
• Ability to thrive in a fast-paced, high-growth startup environment
• Passion for public safety and making a positive impact on communities

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Title: Forward Deployed Engineer

Location/Schedule:

San Francisco HQ (Strong in-office culture) – 5 days a week onsite

✈️ Frequent travel to client sites (nationwide)

Company/Role Overview:

Our client is helping companies unlock the power of Large Language Models by turning ideas into production-ready AI systems-fast. As an AI Solutions Engineer, you’ll sit at the beating heart of our client relationships, guiding teams from the initial idea to a fully deployed solution. You’ll be a trusted technical partner to account executives and a hands-on builder for our clients, transforming ambiguity into clean, scalable AI deployments.

This is not a behind-the-scenes role. You’ll be in the room where it happens-on discovery calls, in whiteboard sessions, and onsite with clients-helping architect, implement, and explain AI-powered workflows that change the way businesses operate.

If you’re excited by messy problems, love talking to customers, and can wire up APIs with one hand while sketching systems diagrams with the other, this might be your dream job.

Responsibilities:

• Partner with Sales and Customer Success teams to support the entire customer journey-from presales discovery through full post-sales implementation.
• Lead technical discovery calls with customers to uncover their pain points and explore AI use cases.
• Design high-level architecture and integration pathways, then own the implementation from start to finish.
• Write lightweight code (Python, JS) to connect APIs, automate workflows, and deploy LLM solutions.
• Translate complex LLM behavior and edge cases into clear, actionable insights for both technical and non-technical audiences.
• Travel frequently to work onsite with clients and ensure hands-on, successful delivery.
• Act as a key voice in evolving how we deploy AI-your feedback will shape our platform, playbooks, and product direction.

Qualifications (Must-Have):

• 3-7 years of experience in solutions engineering, product-minded software engineering, startup founding, or any role where you’ve taken something from zero to production with a customer in the loop.
• Strong understanding of REST APIs, JSON, and the ability to quickly prototype with Python.
• Comfort with ambiguity-you know how to make progress without perfect specs or ideal environments.
• Clear and confident communicator-you can tailor your technical explanations to any audience.
• Comfortable operating in a fast-paced, early-stage startup-you’re ambitious, gritty, and obsessed with doing great work.

Bonus Points For:

• Experience deploying or integrating LLMs or other AI/ML systems.
• Familiarity with enterprise environments and integration constraints (SAML, SOC2, etc).
• Startup or consultancy background with strong client exposure.
• Prior technical sales or sales engineering experience.

Benefits:

• Competitive salary + equity at a high-growth startup
• Full medical, dental, and vision coverage
• Frequent travel and client-facing opportunities

All applicants must be fully authorized to work in the U.S. to qualify. Our client is unable to offer sponsorship for this role at this time.

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Title: Director of Data Architecture and Governance

Location: San Antonio, TX – Full-time, On-site (Relocation Required)

Company Background:

Our client is a major fast-food company experiencing rapid growth across the United States. They are transforming their data landscape to support data-driven decision making and need a skilled Director of Data Architecture and Governance to build their data foundation from the ground up.

Key Responsibilities:

We are seeking a Director of Data Architecture and Governance on behalf of our client to lead data quality, integrity, and compliance initiatives in a greenfield technical environment.

• Manage data quality and integrity across all organizational data sources and systems
• Own and implement comprehensive data governance processes and compliance frameworks
• Ensure data cleanliness and establish robust data quality monitoring and remediation processes
• Design and implement scalable data architecture solutions to support business growth
• Manage small teams of data professionals and provide technical leadership
• Focus on operations improvements, expanding to cover supply chain and human resources
• Scale data governance and architecture across the entire organization
• Collaborate with cross-functional teams to understand data requirements and business needs
• Establish data standards, policies, and procedures for enterprise-wide adoption
• Lead compliance efforts to ensure data handling meets regulatory and industry requirements

Requirements

Experience & Background:

• Minimum 8 years of data architecture and governance experience
• Proven experience managing small teams of data professionals
• Experience building data solutions in greenfield environments
• QSR (Quick Service Restaurant) or restaurant industry experience preferred but not required

Technical Skills:

• Strong expertise in Azure cloud platforms and services
• Broad technical knowledge across multiple frameworks and technologies
• Experience with data quality tools and data governance platforms
• Proficiency in data modeling, ETL processes, and data warehousing concepts
• Knowledge of compliance requirements and data privacy regulations

Additional Qualifications:

• Strong leadership and team management skills
• Excellent communication and stakeholder management abilities
• Proven track record of scaling data operations across multiple business functions

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Title: BI Manager

Location: San Antonio, TX – Full-time, On-site (Relocation Required)

Company Background:

Our client is a major fast-food company experiencing rapid growth across the United States. They are transforming their data landscape to support data-driven decision making and need a skilled BI Manager to lead their analytics capabilities.

Key Responsibilities:

• Build and maintain dashboards and reports primarily for operations teams
• Develop a self-service analytics environment
• Lead BI initiatives
• Coordinate closely with HR, finance, marketing, and other teams to deliver tailored analytics solutions
• Establish a self-service analytics environment for business users
• Identify and track key performance indicators (KPIs) aligned with business objectives
• Transform complex data into actionable insights and compelling stories for stakeholders
• Write complex SQL queries and develop Power BI visualizations
• Partner with IT teams to ensure data quality and accessibility
• Provide training and support on self-service analytics tools

Requirements

Experience & Background:

• Minimum 5 years of professional business intelligence experience
• Proven experience setting up self-service analytics environments
• Fast-food, restaurant, or retail industry experience is a plus

Technical Skills:

• Advanced proficiency in SQL for data analysis
• Strong expertise in Power BI for dashboard development
• Experience with data warehouse concepts and ETL processes

Additional Qualifications:

• Excellent communication and storytelling skills with data
• Strong problem-solving skills and attention to detail
• Willingness to relocate to San Antonio, TX area

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