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For Permanent and Contract, Intelligent Cloud, Solutions Architect

    Head of Data Engineering

    England, London, City of London

    • £85,000 to £100,000 GBP
    • Consultant Role
    • Seniority: Senior

    Job description

    Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000

    A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact.

    Key Responsibilities:

    * Lead and mentor a team of data engineers, fostering a culture of innovation and excellence.
    * Architect and implement scalable data solutions using the Azure tech stack and Databricks.
    * Collaborate with cross-functional teams to align data initiatives with business goals.
    * Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed.

    Requirements:

    * Proven experience in leading data engineering teams.
    * Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks.
    * Comfortable balancing strategic leadership with occasional hands-on technical work.
    * Excellent stakeholder management and communication skills.

    Benefits:

    * Competitive salary up to £100,000.
    * Opportunity to shape the data landscape of a forward-thinking organisation.
    * Discretionary Bonus.
    * And more.

    Head of Data Engineering

    England, West Yorkshire, Leeds

    • £85,000 to £100,000 GBP
    • Consultant Role
    • Seniority: Senior

    Job description

    Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000

    A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact.

    Key Responsibilities:

    * Lead and mentor a team of data engineers, fostering a culture of innovation and excellence.
    * Architect and implement scalable data solutions using the Azure tech stack and Databricks.
    * Collaborate with cross-functional teams to align data initiatives with business goals.
    * Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed.

    Requirements:

    * Proven experience in leading data engineering teams.
    * Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks.
    * Comfortable balancing strategic leadership with occasional hands-on technical work.
    * Excellent stakeholder management and communication skills.

    Benefits:

    * Competitive salary up to £100,000.
    * Opportunity to shape the data landscape of a forward-thinking organisation.
    * Discretionary Bonus.
    * And more.

    Head of Data Engineering

    England, Greater Manchester, Manchester

    • £85,000 to £100,000 GBP
    • Consultant Role
    • Seniority: Senior

    Job description

    Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000

    A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact.

    Key Responsibilities:

    * Lead and mentor a team of data engineers, fostering a culture of innovation and excellence.
    * Architect and implement scalable data solutions using the Azure tech stack and Databricks.
    * Collaborate with cross-functional teams to align data initiatives with business goals.
    * Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed.

    Requirements:

    * Proven experience in leading data engineering teams.
    * Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks.
    * Comfortable balancing strategic leadership with occasional hands-on technical work.
    * Excellent stakeholder management and communication skills.

    Benefits:

    * Competitive salary up to £100,000.
    * Opportunity to shape the data landscape of a forward-thinking organisation.
    * Discretionary Bonus.
    * And more.

    Data Architect

    England, Hertfordshire

    • £60,000 to £80,000 GBP
    • Consultant Role
    • Skills: MS Business Intelligence
    • Seniority: Mid-level

    Job description

    Data Architect - Hybrid (2 Days On‑Site Per Week)

    Contract Type: Fixed‑Term Contract


    About the Role

    An exciting opportunity has arisen for an experienced Data Architect to join a growing data function undergoing significant transformation. The successful candidate will shape enterprise‑wide data architecture, ensuring high‑quality, well‑governed, scalable data solutions that support operational, analytical, and regulatory needs.

    This role suits someone who is confident designing end‑to‑end data architectures, working across complex technology landscapes, and engaging senior business and technical stakeholders.

    Key Responsibilities:

    1 Data Architecture & Modelling

    * Design conceptual, logical, and physical data models.
    * Create and maintain data architecture blueprints covering ingestion, integration, storage, lineage, and consumption.
    * Apply appropriate modelling techniques
    * Lead design reviews and ensure models align with business needs and domain boundaries.

    1 Data Governance & Metadata Management

    * Contribute to data governance frameworks, ownership models, and stewardship processes.
    * Build and maintain business glossaries, data dictionaries, and metadata standards.
    * Ensure adherence to governance policies including lineage, retention, access control, and security.
    * Support governance forums and drive consistent data definitions across the business.

    1 Data Quality Architecture

    * Embed data quality rules and controls across ETL/ELT and streaming pipelines.
    * Develop data quality metrics, monitoring frameworks, and alerting mechanisms.
    * Work with engineering teams to automate profiling, scoring, and remediation.
    * Ensure data quality and lineage are embedded in reusable architectural patterns.

    1 Stakeholder Engagement & Requirements Leadership

    * Lead discovery sessions to translate business needs into architectural data requirements.
    * Communicate architectural decisions to senior stakeholders.
    * Navigate ambiguity and align product teams, SMEs, and governance bodies.
    * Prepare high‑quality documentation and present to review boards when required.

    1 Delivery Governance & Technical Leadership

    * Oversee the implementation of data architecture standards across engineering teams.
    * Provide technical guidance on integration, ingestion, transformation, orchestration, and storage.
    * Conduct design assurance to meet non‑functional requirements (performance, resilience, cost).
    * Coach engineers, analysts, and stewards on modelling, governance, and data quality practices.



    Skills & Experience

    * Proven experience as a Data Architect or Solution Architect with strong data focus.
    * Expertise in conceptual, logical, and physical data modelling.
    * Strong knowledge of data governance, metadata, stewardship, and glossaries.
    * Experience embedding data quality controls and monitoring into pipelines.
    * Familiarity with cloud data platforms (Snowflake, Databricks, Synapse, BigQuery, Redshift).
    * Ability to manage complex stakeholder landscapes and lead architectural design.
    * Ability to create high‑quality architectural artefacts and documentation.

    Head of Data Engineering

    England, Berkshire, Reading

    • £85,000 to £100,000 GBP
    • Consultant Role
    • Seniority: Senior

    Job description

    Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000

    A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact.

    Key Responsibilities:

    * Lead and mentor a team of data engineers, fostering a culture of innovation and excellence.
    * Architect and implement scalable data solutions using the Azure tech stack and Databricks.
    * Collaborate with cross-functional teams to align data initiatives with business goals.
    * Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed.

    Requirements:

    * Proven experience in leading data engineering teams.
    * Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks.
    * Comfortable balancing strategic leadership with occasional hands-on technical work.
    * Excellent stakeholder management and communication skills.

    Benefits:

    * Competitive salary up to £100,000.
    * Opportunity to shape the data landscape of a forward-thinking organisation.
    * Discretionary Bonus.
    * And more.

    Head of Data Engineering

    England, West Midlands, Birmingham

    • £85,000 to £100,000 GBP
    • Consultant Role
    • Seniority: Senior

    Job description

    Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000

    A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact.

    Key Responsibilities:

    * Lead and mentor a team of data engineers, fostering a culture of innovation and excellence.
    * Architect and implement scalable data solutions using the Azure tech stack and Databricks.
    * Collaborate with cross-functional teams to align data initiatives with business goals.
    * Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed.

    Requirements:

    * Proven experience in leading data engineering teams.
    * Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks.
    * Comfortable balancing strategic leadership with occasional hands-on technical work.
    * Excellent stakeholder management and communication skills.

    Benefits:

    * Competitive salary up to £100,000.
    * Opportunity to shape the data landscape of a forward-thinking organisation.
    * Discretionary Bonus.
    * And more.

    Data Engineer

    England, London

    • £50,000 to £65,000 GBP
    • Other Role
    • Skills: Azure
    • Seniority: Mid-level

    Job description

    Data Engineer - Azure | Databricks / Fabric - Remote - £50k-£65k

    I'm currently supporting one of the UK's fastest-growing Microsoft data consultancies as they continue to scale their team. If you're a Data Engineer who wants to work on modern Azure projects, next‑gen lakehouse architectures, and large-scale transformation programmes, this one is worth a look.

    This consultancy is known for investing heavily in their people, offering real progression pathways, and giving engineers the chance to take ownership of meaningful, enterprise-grade work.

    If you're looking for a role where you can grow quickly and make a real impact, this could be a great fit.



    What You'll Be Doing

    In this role, you'll be central to designing and delivering modern data solutions for a range of clients:

    * Architect and deliver scalable data solutions using Databricks, Synapse, and Microsoft Fabric
    * Build and optimise ETL/ELT pipelines and high-quality data models using SQL & Python
    * Develop Power BI dashboards that support insight-led decision-making
    * Implement data lakes and medallion lakehouse architectures
    * Apply strong standards around data quality, governance, and security
    * Work collaboratively in Agile, cross-functional teams
    * Support major cloud migration and modernisation initiatives



    What's In It for You

    * High-Growth Environment: You'll work with cutting-edge Microsoft technologies on impactful projects across multiple industries.



    * Career Development: The business actively funds certifications, structured training programmes, and clear progression opportunities.



    * Fully Remote: Work from anywhere in the UK, travel is only required occasionally and covered by the company.



    You'll be a great fit if you have:

    * Strong experience with Azure Synapse, Databricks, or Microsoft Fabric
    * Solid SQL & Python skills for ETL/ELT development
    * Experience working with data lakes and large datasets
    * A good understanding of BI, data warehousing, and modern data architectures



    Interested?

    This team is one of the most in-demand in the Microsoft data space, and roles with them don't stay open for long.

    If you'd like to explore the opportunity, apply now!

    Data Platform Manager/ Architect

    Hong Kong

    • HK$60,000 to HK$70,000 HKD
    • Practice Lead Role
    • Skills: Azure Databricks
    • Seniority: Mid-level

    Job description

    My client, an enterprise with business across APAC region, is now hiring a Data Platform Manager/ Architect to join and lead the internal dynamic team, drive the continuous development and operational excellence of the data PPatform, champions data analytics initiatives and data products development, and ensure that data-driven insights translate into measurable strategic business value.

    What You'll Do

    * Own the end-to-end design and evolution of the enterprise data platform, aligning business needs with security and regulatory requirements.
    * Lead the development and operation of scalable data pipelines and processing frameworks using Azure Data Factory and Azure Databricks.
    * Design and govern data models and integrations that enable analytics, AI, and machine learning use cases.
    * Establish strong data governance practices, including data quality monitoring, metadata, lineage, and privacy-by-design.
    * Partner closely with business, analytics, and engineering teams to gather requirements and deliver effective data solutions.
    * Conduct architectural reviews to ensure solutions meet performance, security, and quality standards.
    * Drive cloud-native adoption, automation, and DevOps practices; lead proof-of-concepts and production rollouts.
    * Lead incident response and root cause analysis to ensure platform reliability and resilience.
    * Monitor platform performance and costs, and recommend optimizations to leadership.
    * Promote best practices through documentation, onboarding, and team enablement.

    What You'll Bring

    * 8+ years of experience in data engineering, data architecture, and enterprise data platforms in cloud environments.
    * Strong background designing scalable, secure, and cloud-native data architectures.
    * Advanced skills in data modeling, data integration, and platforms supporting analytics and AI/ML workloads.
    * Hands-on experience with real-time and streaming technologies
    * Deep expertise in the Microsoft Azure data ecosystem, including Azure Databricks, Azure Data Factory, and Azure Data Lake Gen2.
    * Experience working in Agile and DevOps environments with cross-functional teams.
    * Strong problem-solving and root cause analysis skills for complex data systems.
    * Bachelor's degree in Computer Science, Engineering, or a related field.
    * Fluent in English; Mandarin

    If you are passionate about leveraging data to drive impactful solutions and thrive in a collaborative atmosphere, we encourage you to apply for this exciting opportunity. Please send your CV to s.liao@nigelfrank.com or call on +852 3018 0382.

    Enterprise Architect

    England, London, City of London

    • Up to £1 GBP
    • Other Role
    • Skills: Enterprise Architecture, iPaaS, API-led Integration, Cloud Architecture, AI Architecture, Data Architecture, TOGAF, Integration Strategy, SaaS Platforms, Solution Design
    • Seniority: Senior

    Job description

    Enterprise Architect - 6‑Month Contract (Outside IR35)

    Location: Central London (Hybrid, 3 days onsite)
    Day Rate: Flexible

    We're looking for an experienced Enterprise Architect to support a major transformation programme, providing architectural leadership across business, data, applications, integration, AI and technology domains. This role requires someone who can shape strategy, guide delivery teams, and introduce modern, scalable, secure architectural practices across a diverse organisation.

    The Opportunity

    As the Enterprise Architect, you'll take ownership of the organisation‑wide architectural vision-ensuring technology, data, integration, and AI capabilities work cohesively to enable the business strategy. You'll define future‑state architecture, build pragmatic roadmaps, and provide expert guidance across multiple programmes.

    A strong focus of this contract will be designing and governing integration and AI‑enabled architecture, leveraging modern integration platforms (iPaaS), API‑first design, and cloud technologies.

    You'll work closely with senior stakeholders across functional leadership teams, regional groups, and school‑level operations.

    Key Responsibilities

    Strategic Architecture Leadership

    * Establish and maintain the enterprise architecture direction and principles.
    * Build target‑state roadmaps that support both long‑term transformation and incremental delivery.
    * Ensure architecture aligns with business goals around scalability, resilience, security, cost efficiency, and regulatory compliance.

    Integration & iPaaS Architecture

    * Lead the organisation's integration strategy and reference architecture.
    * Set standards for API‑led, event‑driven, and SaaS integration patterns.
    * Govern usage of modern iPaaS technologies (e.g., MuleSoft, Boomi, Azure Integration Services).
    * Reduce point‑to‑point integrations and improve reuse of integration services.

    Architecture Governance

    * Define enterprise‑level standards, principles, and guardrails.
    * Review solution designs to ensure alignment with enterprise, data, integration, security, and AI standards.
    * Support lifecycle governance for key technology and integration platforms.

    Portfolio & Transformation Support

    * Provide architectural insight to the portfolio team during planning cycles.
    * Identify opportunities for application consolidation and improved platform utilisation.
    * Enable agile and product‑based delivery teams through reusable patterns and platforms.

    AI & Intelligent Systems Architecture

    * Establish the architectural standards for AI and ML solutions.
    * Guide teams on model lifecycle, data pipelines, and cloud‑native AI services.
    * Ensure AI solutions are secure, ethical, governed, and able to integrate with enterprise platforms.
    * Help the organisation move from experimentation to reliable, scalable AI delivery.

    What You'll Bring

    Essential

    * 8+ years in architecture roles, ideally as an Enterprise or Lead Architect.
    * Strong background in complex, integration‑heavy environments.
    * Deep knowledge across business, application, data, integration, AI, and technical architecture.
    * Hands‑on experience with major platforms such as Salesforce, Sitecore, Microsoft Dynamics, or SuccessFactors.
    * Expertise in API‑led integration, event‑driven architectures, SaaS ecosystems, and public cloud (Azure/AWS/GCP).
    * Excellent communication and stakeholder‑influencing skills at senior level.
    * Ability to balance architectural vision with practical delivery.

    Desirable

    * Understanding of AI/ML architecture, data pipelines, and model deployment approaches.
    * Awareness of generative AI platforms and integration methods.
    * Familiarity with frameworks like TOGAF (not essential).
    * Knowledge of ethical AI principles, governance, and risk management.