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Senior Data Engineering Manager - Databricks - London

Currently recruiting for a Senior Data Engineering Manager role with a client in London to oversee multiple functions within Data. Primarily Data Engineering focused, managing a team of talented Databricks Engineers.

You will work with the Head of Data on the current environment but also help shape the future of the team in the new world of AI. You will come from a strong Data Engineering background in Databricks, coupled with managing teams.

This role requires you to be in office 3 days per week and is offering a salary of up to £110,000.

* Proven experience managing various sized Data Engineering teams and/or functions
* Strong background in data architecture and engineering principles
* Solid understanding of data governance and compliance standards

This is genuinely a unique opportunity to shape the data strategy and future thinking for use of AI for a truly global business coupled with managing a genuinely talented group of data focused professionals.

Interviews are happening this week so to hear more then please reach out asap.

We are looking for a Enterise Data & AI Architect for a listed company with agression expansion across the region. The ideal candidate will be devoted to develop robust solutions focused on Big Data and Analytics in a collaborative and delivery-driven environment. In this role, you will design data models and architecture that support the strategic initiatives of the business while ensuring seamless integration and performance across various data platforms.

Key Responsibilities

* Define and drive the enterprise data architecture, including data flows, integrations, and Master Data Management (MDM) across ERP, CRM, and operational platforms.
* Establish data governance, quality, security, and ownership frameworks to ensure trusted, business-ready data.
* Lead the AI, GenAI, and Agentic AI roadmap, identifying and delivering scalable automation and business transformation opportunities.
* Oversee data migration, integration, and API strategies to support global system modernization initiatives.
* Partner with business and technology leaders to translate strategic objectives into scalable data and AI solutions.
* Evaluate and recommend technologies, platforms, and vendors for data, analytics, and AI capabilities.
* Ensure compliance with data privacy, security, and corporate governance requirements.

Key Requirements

* Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
* 10+ years of experience in data architecture, data engineering, enterprise integration, or related disciplines.
* Proven expertise in enterprise data architecture across ERP, CRM, and business-critical systems.
* Strong experience in data governance, MDM, data quality, and large-scale integration programs.
* Hands-on knowledge of AI/ML, Generative AI, LLMs, and modern data platforms.
* Deep understanding of data modeling, data warehousing, APIs, ETL/ELT, and event-driven architectures.
* Excellent stakeholder management and communication skills, with the ability to influence senior leadership.
* Relevant certifications in Data Management, Cloud Architecture, AI/ML, or Project Management are advantageous.
* Experience in logistics, supply chain, or operations-driven industries is a plus.

This role is based onsite in a supportive workplace that encourages growth and innovation. If you are passionate about shaping data solutions and driving impactful change, we'd love to hear from you. Please apply directly or send your CV in word format to s.liao@nigelfrank.com for a further conversation.

We are looking for a Enterise Data & AI Architect for a listed company with agression expansion across the region. The ideal candidate will be devoted to develop robust solutions focused on Big Data and Analytics in a collaborative and delivery-driven environment. In this role, you will design data models and architecture that support the strategic initiatives of the business while ensuring seamless integration and performance across various data platforms.

Key Responsibilities

* Define and drive the enterprise data architecture, including data flows, integrations, and Master Data Management (MDM) across ERP, CRM, and operational platforms.
* Establish data governance, quality, security, and ownership frameworks to ensure trusted, business-ready data.
* Lead the AI, GenAI, and Agentic AI roadmap, identifying and delivering scalable automation and business transformation opportunities.
* Oversee data migration, integration, and API strategies to support global system modernization initiatives.
* Partner with business and technology leaders to translate strategic objectives into scalable data and AI solutions.
* Evaluate and recommend technologies, platforms, and vendors for data, analytics, and AI capabilities.
* Ensure compliance with data privacy, security, and corporate governance requirements.

Key Requirements

* Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
* 10+ years of experience in data architecture, data engineering, enterprise integration, or related disciplines.
* Proven expertise in enterprise data architecture across ERP, CRM, and business-critical systems.
* Strong experience in data governance, MDM, data quality, and large-scale integration programs.
* Hands-on knowledge of AI/ML, Generative AI, LLMs, and modern data platforms.
* Deep understanding of data modeling, data warehousing, APIs, ETL/ELT, and event-driven architectures.
* Excellent stakeholder management and communication skills, with the ability to influence senior leadership.
* Relevant certifications in Data Management, Cloud Architecture, AI/ML, or Project Management are advantageous.
* Experience in logistics, supply chain, or operations-driven industries is a plus.

This role is based onsite in a supportive workplace that encourages growth and innovation. If you are passionate about shaping data solutions and driving impactful change, we'd love to hear from you. Please apply directly or send your CV in word format to s.liao@nigelfrank.com for a further conversation.

Job Title: Enterprise Data Architecture & Governance Lead (Contract)

Engagement Type: Fixed-term contract, Outside IR35
Reports To: Chief Technology Officer

About the Role

The business has built strong foundations for enterprise data: the function structure, a growing canonical data model, and a live platform estate. This engagement turns that design work into operating reality, establishing enterprise data as a core, permanently owned capability underpinning AI, analytics, billing, reporting and decision-making.

With the architecture lead who shaped the foundation moving on, this is the moment to launch the governance structure, build out existing design patterns, and hand the result to permanent leadership. The engagement is time bound, with handover planned backwards from a fixed end date.

Key Responsibilities

A scalable, governed function - Establish accountable ownership of data with real authority. Make the operating model scalable enough to absorb new domains, systems and acquisitions. Leave the function able to evidence control on demand.

Governance - Design and launch the governance framework: ownership, stewardship, lineage, quality standards and enforcing controls. Build the evidence base so the function can demonstrate control rather than assert it. Tie data quality to commercial outcomes such as billing accuracy and revenue assurance. Prove adoption in priority areas with named, bought in owners and delivered training.

Architecture - Extend the canonical data model to remaining priority domains. Deepen mastering and target-state definitions where gaps remain. Ensure the architecture scales through continued M&A integration. Capture the outgoing architecture lead's knowledge before departure. Provide senior direction on build-out work, transitioning it to the incoming permanent lead. Produce a prioritised roadmap sequenced by business benefit.

Platform FinOps - Establish the FinOps model for in-life platform decisions, managing cost against value. For the core analytics platform, deliver this jointly with the team who own and operate it.

Working with the Data Analytics team - Consult throughout the engagement via the Technical Design Authority's existing gates. Ensure governance and architecture support, rather than obstruct, the team as primary platform users.

Investment case - Cost and justify the build-out and permanent run cost, including the permanent operating model and run team, so the case funds the destination, not just the build.

Recruitment and handover - Define and run recruitment for two permanent leadership roles, including onboarding. Structure handover so permanent leadership can operate independently by the end of the engagement. Deliver documented architecture and governance, a live evidence base, and a written statement of what is complete versus what must be maintained.

Deliverables

A scalable, governed enterprise data function established as a permanent capability. A prioritised roadmap to fortify existing structures. A live governance framework with a demonstrable evidence base. Extended canonical model and operationalised definitions. A platform FinOps model. A defined working model with the Data Analytics team. A costed investment case. Two permanent leadership roles recruited and onboarded. A structured handover within the fixed term.

Out of Scope

Function design, foundational architecture and platform selection, all already in place. Ongoing operation of the function and standing board representation, which sit with permanent leadership once appointed.

Candidate Profile

Proven track record designing and launching enterprise data governance frameworks in a large, complex organisation. Strong enterprise data architecture background, ideally including canonical or mastering data models and lakehouse or medallion architectures. Experience building investment cases and securing funding for permanent data capabilities. Comfortable working through an existing design authority and governance structure. Experience defining and hiring into permanent leadership roles, with a clear focus on structured, time-bound handover. Strong stakeholder management skills at CTO level. Background in regulated, billing-sensitive or M&A-active environments is an advantage.

Hi All,

I'm currently recruiting for an exciting opportunity with a leading global financial institution for a senior AI Evangelist - Hands-On role.

We're looking for an experienced AI leader with strong expertise in:

* Generative AI, Agentic AI & LLM architectures
* Python, AI/ML frameworks, and modern back-end technologies
* RAG, Prompt Engineering, Fine-Tuning & AI Observability
* Capital Markets / Investment Banking domain experience
* AI governance, compliance, and responsible AI deployment
* Technical leadership, architecture, and stakeholder engagement

This role combines hands-on engineering, AI strategy, technical evangelism, and leadership across enterprise-scale AI transformation initiatives.

Candidates with experience in financial services, fintech, or regulated environments are highly preferred.

My client, an enterprise size commercial firm, is now urgently looking for an experienced Data Platform Manager/Architect to lead the design, development, and continuous evolution of central data platform. This role sits at the heart of data strategy-driving scalable architecture, enabling advanced analytics, and translating data into measurable business value.

Job Responsibilities

* Lead the end-to-end architecture, design, and continuous enhancement of a scalable and secure cloud-based data platform
* Oversee development and operations of robust data pipelines (batch & streaming) using Azure technologies
* Define and maintain high-quality data models and integration frameworks aligned with business needs
* Implement best practices for data quality, lineage, metadata management, and regulatory compliance
* Act as a key bridge between business, analytics, and engineering teams to deliver data solutions
* Drive adoption of modern tools, automation, DevOps practices, and cloud-native technologies
* Lead and mentor onshore/offshore data engineering teams, ensuring high performance and continuous improvement
* Handle incident management, root cause analysis, and continuous optimization for performance and cost
* Establish standards, documentation, and training to foster a strong data culture

Job Requirements

* 8+ years in data engineering, data platform management, or data architecture
* Proven track record building scalable cloud-based data platforms
* Strong experience with:

* Azure Data Factory, Azure Databricks, Azure Data Lake
* Real-time/streaming technologies (Kafka, Flink, CDC)

* Expertise in data modeling, ETL/ELT, and integration frameworks
* Experience working with Agile and DevOps methodologies
* Strong troubleshooting and problem-solving skills for complex data systems
* Bachelor's degree in Computer Science, Engineering, or related field
* Certifications (Azure Data Engineer, Databricks) are a plus
* Strong communication skills with the ability to work across technical and business teams
* English required; Mandarin is a plus



This is a permanent position that offers a stable and friendly working environment with good staff benefits to the right candidate. Please don't hesitate to apply directly or send your CV in word format to s.liao@nigelfrank.com for a further conversation.

2-Year Fixed Term Contract

£80,000 - £100,000+ DOE
Hybrid Working | Edinburgh, Stirling, Bath or London (2-3 days per week)

Shape the Future of Data, Analytics & AI in Financial Services

We're supporting a major UK financial services organisation with the appointment of a Senior Data Architect to play a pivotal role in transforming how data is leveraged across the business.

This is an opportunity for a technically strong architect who can hit the ground running from day one, providing architectural leadership across enterprise data platforms, analytics initiatives, machine learning capabilities and emerging AI solutions.

You'll be responsible for defining and governing data architecture standards, designing scalable data solutions, and ensuring trusted, high-quality data is available to support business decision-making, regulatory obligations and innovation programmes.

What You'll Be Doing

*

Defining and evolving enterprise, domain and solution-level data architecture
*

Designing logical and physical data models for operational, analytical and AI use cases
*

Establishing architecture standards, patterns, principles and governance frameworks
*

Providing technical leadership and architectural assurance across delivery teams
*

Collaborating with stakeholders across technology, data, analytics, security and business functions
*

Driving best practice in data governance, lineage, metadata management and data quality
*

Supporting strategic data initiatives, investment planning and architectural roadmaps
*

Ensuring solutions meet regulatory, security, resilience and performance requirements
*

Mentoring teams and promoting strong architectural practices across the organisation

What We're Looking For

We're seeking an architect with a strong technical background who is comfortable influencing senior stakeholders while remaining hands-on in architecture design and decision making.

You'll ideally bring:

*

3+ years' experience operating in a Senior Data Architect capacity
*

Strong expertise in data architecture, data modelling and information management
*

Experience designing modern data platforms supporting analytics, reporting and machine learning workloads
*

Knowledge of data governance, lineage, metadata management and data quality frameworks
*

Experience defining technical standards, patterns and architectural principles
*

Excellent stakeholder management and communication skills
*

The ability to provide architectural leadership from day one

Industry Experience

Financial services experience is highly desirable, although candidates from other regulated industries such as insurance, pensions, utilities or healthcare will also be considered.

Particular interest will be given to candidates with experience across:

*

Retirement savings and retirement income products
*

Wealth, investments or asset management
*

Regulatory data environments
*

Finance analytics and data value chain transformation initiatives

Exposure to AI, Machine Learning and emerging Agentic AI solutions within enterprise environments would be highly advantageous.

Why Apply?

*

Strategic architecture role with significant visibility and influence
*

Opportunity to shape data strategy, analytics and AI capability
*

Long-term transformation programme within a highly respected financial services organisation
*

Flexible hybrid working from Edinburgh, Stirling, Bath or London
*

Competitive package with flexibility for exceptional candidates

If you're a technically focused Data Architect looking to drive meaningful change across data, analytics and AI within a complex regulated environment, we'd love to hear from you.

Managing Director

$175,000 - $250,000 + 25% Bonus

Award Winning NetSuite Solutions Provider!

Our client is an award-winning NetSuite Solutions Provider looking to expand their team. They have earned recognition within the NetSuite ecosystem for the quality of their implementations and the strength of their team culture, and their growth over the past several years.

They have been an Anderson Frank customer for some time, and we are proud to be such strong contributors to their success. Today, they are looking to hire a Managing Director to lead their existing teams and continue to build on their outstanding growth.

The best way to apply is to send your resume directly to me at j.gendler@tenthrevolution.com.

Ideal Background

- Experience as a NetSuite Practice Leader at a NetSuite Alliance Partner or a Solutions Provider
- ERP expert who has spent significant time at a major consulting company
- Ideally based in the Midwest

If you possess the required skills and are ready to take the next step in your career, we encourage you to apply for this exciting opportunity. Core benefits include a Travel to Work/Ticket Loan Scheme, Dental Plan, and Medical Insurance.

If you meet the necessary qualifications and want the opportunity to further expand your NetSuite career then don't wait to apply! Please send your resume to j.gendler@andersonfrank.com and call 646-540-7487

Anderson Frank International is the leading ERP recruitment firm in the US advertising more ERP/NetSuite roles any other agency. We deal with both NetSuite partners & End Users throughout the United States and we have never had more live requirements for NetSuite professionals.

By specializing solely in placing candidates in the ERP market we have built relationships with most of the key employers in the US and have an unrivalled understanding of where the best opportunities and ERP jobs are. Anderson Frank International Ltd is acting as an Employment Agency in relation to this vacancy.

Name:

Job Title: Enterprise Data Architecture & Governance Lead (Contract)

Engagement Type: Fixed-term contract, Outside IR35
Reports To: Chief Technology Officer

About the Role

The business has built strong foundations for enterprise data: the function structure, a growing canonical data model, and a live platform estate. This engagement turns that design work into operating reality, establishing enterprise data as a core, permanently owned capability underpinning AI, analytics, billing, reporting and decision-making.

With the architecture lead who shaped the foundation moving on, this is the moment to launch the governance structure, build out existing design patterns, and hand the result to permanent leadership. The engagement is time bound, with handover planned backwards from a fixed end date.

Key Responsibilities

A scalable, governed function - Establish accountable ownership of data with real authority. Make the operating model scalable enough to absorb new domains, systems and acquisitions. Leave the function able to evidence control on demand.

Governance - Design and launch the governance framework: ownership, stewardship, lineage, quality standards and enforcing controls. Build the evidence base so the function can demonstrate control rather than assert it. Tie data quality to commercial outcomes such as billing accuracy and revenue assurance. Prove adoption in priority areas with named, bought in owners and delivered training.

Architecture - Extend the canonical data model to remaining priority domains. Deepen mastering and target-state definitions where gaps remain. Ensure the architecture scales through continued M&A integration. Capture the outgoing architecture lead's knowledge before departure. Provide senior direction on build-out work, transitioning it to the incoming permanent lead. Produce a prioritised roadmap sequenced by business benefit.

Platform FinOps - Establish the FinOps model for in-life platform decisions, managing cost against value. For the core analytics platform, deliver this jointly with the team who own and operate it.

Working with the Data Analytics team - Consult throughout the engagement via the Technical Design Authority's existing gates. Ensure governance and architecture support, rather than obstruct, the team as primary platform users.

Investment case - Cost and justify the build-out and permanent run cost, including the permanent operating model and run team, so the case funds the destination, not just the build.

Recruitment and handover - Define and run recruitment for two permanent leadership roles, including onboarding. Structure handover so permanent leadership can operate independently by the end of the engagement. Deliver documented architecture and governance, a live evidence base, and a written statement of what is complete versus what must be maintained.

Deliverables

A scalable, governed enterprise data function established as a permanent capability. A prioritised roadmap to fortify existing structures. A live governance framework with a demonstrable evidence base. Extended canonical model and operationalised definitions. A platform FinOps model. A defined working model with the Data Analytics team. A costed investment case. Two permanent leadership roles recruited and onboarded. A structured handover within the fixed term.

Out of Scope

Function design, foundational architecture and platform selection, all already in place. Ongoing operation of the function and standing board representation, which sit with permanent leadership once appointed.

Candidate Profile

Proven track record designing and launching enterprise data governance frameworks in a large, complex organisation. Strong enterprise data architecture background, ideally including canonical or mastering data models and lakehouse or medallion architectures. Experience building investment cases and securing funding for permanent data capabilities. Comfortable working through an existing design authority and governance structure. Experience defining and hiring into permanent leadership roles, with a clear focus on structured, time-bound handover. Strong stakeholder management skills at CTO level. Background in regulated, billing-sensitive or M&A-active environments is an advantage.

Digital Transformation Director - Essex

I'm currently looking for a Digital Transformation Director to join a services business based in Essex. We need someone with a technology agnostic approach to helping a business through a genuinely exciting period of change.

Ideally the right person comes from a background working in an international/multi region environment, an understanding of complex IT estates as well as complex and sensitive data.

Role requirements:

* Proven experience in managing digital transformation projects within infrastructure settings
* Strong understanding of cloud infrastructure and deployment methodologies
* Ability to engage with stakeholders to gather requirements and define project scope
* Experience with project management methodologies, particularly Agile and Waterfall
* Familiarity with relevant technologies and tools for infrastructure management

This opportunity allows you to contribute significantly while enjoying the flexibility of a flexible work setup. If you're ready to take on a challenging role that impacts our infrastructure landscape, we would like to hear from you.

Salary on offer is up to £120,000.

Please reach out now to discuss more of the role details.