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For Permanent in Scotland

    New

    Databricks Data Architect

    Scotland, Edinburgh

    • £110,000 to £125,000 GBP
    • Consultant Role
    • Skills: Databricks Lakehouse, SQL, Python, Unity Catalog
    • Seniority: Senior

    Job description

    Data Architect - Databricks - Hybrid - Up to £125,000

    A leading Microsoft partnered consultancy is seeking an experienced Data Architect to design and deliver modern data solutions built on Databricks Lakehouse Architecture. You'll work with a variety of enterprise clients, helping them shape their data strategies, optimise their platforms, and unlock the full value of their data for analytics, AI, and business intelligence.

    This role is based in Edinburgh, Manchester, or London with roughly one day per week in office.

    About the Role

    As a Data Architect, you will provide technical leadership and architectural expertise across end-to-end data programmes. You'll engage early with clients, assess their requirements, and design scalable, secure, high-performing architectures using Databricks and modern cloud technologies.



    Key Responsibilities

    * Architect and implement Databricks Lakehouse solutions covering ingestion, storage, processing, and analytics.
    * Apply best practices to shape modern data platforms and guide clients on data strategy and governance.
    * Build strong relationships with technical and business stakeholders, clearly communicating architectural decisions.
    * Lead architectural engagements and ensure successful delivery of solutions on time, within scope, and to a high standard.
    * Implement governance, security, and compliance controls
    * Ensure data quality, lineage, and cataloguing using tools such as Unity Catalog and Microsoft Purview.
    * Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
    * Contribute to internal best practices, reusable architecture patterns, and Proof of Concepts.



    Experience Required:

    * Deep expertise in delivering enterprise-scale data analytics solutions using Databricks.
    * Strong background in designing Lakehouse Architectures for structured and unstructured data.
    * Solid understanding of data modelling (3NF, Kimball, Data Vault).
    * Experience exposing Lakehouse architectures to tools such as Power BI and Tableau.
    * Hands-on experience in Databricks engineering: Spark, Delta Lake, PySpark.
    * Skilled in building scalable ETL pipelines using Workflows and Delta Live Tables.
    * Proficiency in Python, Scala, or SQL.
    * Knowledge of Databricks security best practices.
    * Strong communication and stakeholder management skills.



    What's on Offer:

    * Generous annual leave
    * Private medical insurance
    * Wellbeing support
    * Guaranteed investment in career development and training
    * A high-performance culture offering progression, challenge, and meaningful impact for clients
    * And more

    New

    Senior BI Developer

    Scotland, Glasgow

    • £65,000 to £80,000 GBP
    • Consultant Role
    • Skills: Fabric, Infor M3, Power BI, Data Engineering
    • Seniority: Senior

    Job description

    Senior BI Developer - (UK Based)

    Location: United Kingdom - Remote
    Salary: £80,000 + Benefits
    Employment Type: Full‑time

    A leading global organisation is seeking a highly skilled Senior BI Developer to join their expanding Group IT function. This is a key role within a modern, international BI landscape, where you'll lead the design, development, and optimisation of enterprise‑wide BI solutions using Microsoft Fabric, Power BI and advanced cloud‑based data engineering technologies.

    About the Role

    As Senior BI Developer, you'll translate complex business requirements into scalable, high‑quality BI solutions used across multiple regions. You will design and maintain enterprise data models, architect advanced Power BI solutions, and lead development within a Microsoft Fabric Lakehouse environment. This role also acts as a technical leader within the BI practice, supporting other developers and serving as the primary escalation point for advanced BI issues.


    Key Responsibilities:

    * Develop and maintain enterprise‑grade Power BI reports, datasets, and data models (including star schemas and dimensional models).
    * Lead ETL/ELT design and optimisation within Microsoft Fabric Lakehouse, including Data Pipelines, Notebooks, and cloud‑based ingestion/transformation layers.
    * Deliver complex SQL, Python, and PySpark solutions for large‑scale distributed processing.
    * Coordinate workloads across BI developers and mentor junior and mid‑level team members.
    * Ensure BI quality, governance, documentation, and performance standards are met.
    * Collaborate with global teams on BI modernisation initiatives, ERP data projects, and multi‑region rollouts.


    Skills & Experience

    * Power BI (DAX, data modelling, composite models, dataset optimisation).
    * Strong capability in Microsoft Fabric, including Lakehouse architecture, Data Pipelines, and Notebooks.
    * Advanced SQL, T‑SQL optimisation, Python, and PySpark.
    * Experience designing enterprise‑scale BI solutions in global environments.

    Why Join?

    * Work with cutting‑edge BI and cloud data technologies.
    * Contribute to international BI modernisation and transformation programmes.
    * Engage with global stakeholders and cross‑functional teams.
    * Opportunities for international exposure and ongoing professional development.

    New

    Senior BI Developer

    Scotland, Edinburgh

    • £65,000 to £80,000 GBP
    • Consultant Role
    • Skills: Fabric, Infor M3, Power BI, Data Engineering
    • Seniority: Senior

    Job description

    Senior BI Developer - (UK Based)

    Location: United Kingdom - Remote
    Salary: £80,000 + Benefits
    Employment Type: Full‑time

    A leading global organisation is seeking a highly skilled Senior BI Developer to join their expanding Group IT function. This is a key role within a modern, international BI landscape, where you'll lead the design, development, and optimisation of enterprise‑wide BI solutions using Microsoft Fabric, Power BI and advanced cloud‑based data engineering technologies.

    About the Role

    As Senior BI Developer, you'll translate complex business requirements into scalable, high‑quality BI solutions used across multiple regions. You will design and maintain enterprise data models, architect advanced Power BI solutions, and lead development within a Microsoft Fabric Lakehouse environment. This role also acts as a technical leader within the BI practice, supporting other developers and serving as the primary escalation point for advanced BI issues.


    Key Responsibilities:

    * Develop and maintain enterprise‑grade Power BI reports, datasets, and data models (including star schemas and dimensional models).
    * Lead ETL/ELT design and optimisation within Microsoft Fabric Lakehouse, including Data Pipelines, Notebooks, and cloud‑based ingestion/transformation layers.
    * Deliver complex SQL, Python, and PySpark solutions for large‑scale distributed processing.
    * Coordinate workloads across BI developers and mentor junior and mid‑level team members.
    * Ensure BI quality, governance, documentation, and performance standards are met.
    * Collaborate with global teams on BI modernisation initiatives, ERP data projects, and multi‑region rollouts.


    Skills & Experience

    * Power BI (DAX, data modelling, composite models, dataset optimisation).
    * Strong capability in Microsoft Fabric, including Lakehouse architecture, Data Pipelines, and Notebooks.
    * Advanced SQL, T‑SQL optimisation, Python, and PySpark.
    * Experience designing enterprise‑scale BI solutions in global environments.

    Why Join?

    * Work with cutting‑edge BI and cloud data technologies.
    * Contribute to international BI modernisation and transformation programmes.
    * Engage with global stakeholders and cross‑functional teams.
    * Opportunities for international exposure and ongoing professional development.

    New

    Databricks Architect

    Scotland, Edinburgh

    • £110,000 to £120,000 GBP
    • Engineer Role
    • Skills: Azure Databricks
    • Seniority: Senior

    Job description

    Data Architect - Databricks (Hybrid, UK)
    Locations: London, Manchester, or Edinburgh
    Hybrid: 2-3 days per week on-site
    Salary: Competitive (Manager & Senior Manager grades available)

    About the Role
    We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.
    Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide the implementation of robust, secure, and scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP.

    Key Responsibilities
    * Architect and implement Databricks Lakehouse solutions across ingestion, processing, storage, and analytics layers.
    * Recommend best practices and innovative approaches for modern data platforms.
    * Build strong client relationships and confidently present architectural decisions to senior stakeholders.
    * Shape client data strategies and promote governance, quality, and security standards.
    * Lead architectural engagements and ensure delivery within scope, budget, and timelines.
    * Optimise Databricks workloads for performance, scalability, and cost efficiency.
    * Implement governance and compliance frameworks using Unity Catalog, Purview, and cloud-native controls.
    * Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
    * Contribute to RFI/RFP responses and deliver innovative Proofs of Concept.
    * Support the internal Architecture Practice by developing reusable patterns and accelerators.

    Skills & Experience
    * Proven experience delivering enterprise-scale Databricks solutions end-to-end.
    * Strong background in Lakehouse Architecture, including structured and unstructured data.
    * Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.
    * Experience building scalable ETL/ELT pipelines, including Delta Live Tables.
    * Strong programming skills in Python, Scala, or SQL.
    * Solid understanding of data modelling (3NF, Kimball, Data Vault).
    * Experience integrating Lakehouse architectures with BI tools such as Power BI and Tableau.
    * Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and understanding of Databricks implications across each.
    * Knowledge of Databricks security best practices (RBAC, IAM, encryption).
    * Excellent communication, stakeholder engagement, and problem-solving skills.

    Highly Valued Certifications
    * Databricks Certified Data Engineer (Associate/Professional)
    * Databricks Certified Machine Learning (Associate/Professional)
    * Databricks Generative AI Fundamentals
    * Databricks Lakehouse Fundamentals

    Why Join Us?
    * Generous annual leave and private medical insurance.
    * Strong focus on wellbeing and personal development.
    * A culture that rewards high performance and nurtures talent.
    * Opportunities to work on impactful client projects and drive meaningful change.
    * Supportive environment with investment in certifications and career progression.

    Additional Information
    * This role is fully signed off and part of a growing Databricks capability.
    * Candidates must be willing to travel between UK offices when required.
    * Suitable for individuals with strong architectural experience rather than purely engineering backgrounds.

    Please can you send me a copy of your CV if you're intersted

    New

    AWS Data Engineer

    Scotland, Edinburgh

    • £70,000 to £80,000 GBP
    • Consultant Role
    • Skills: AWS, Redshift, S3, DBT
    • Seniority: Mid-level

    Job description

    Data Engineer (AWS) - Remote - £80,000

    An exciting, high-growth technology scale‑up is seeking a Data Engineer to help evolve and strengthen its modern data foundations. This organisation builds a global, API‑first platform used by major enterprise brands to improve data quality, automate workflows, and enhance the reliability of their marketing and operational data.

    This is a fantastic opportunity to join a business experiencing rapid expansion, where data is central to product innovation, analytics, machine learning, and AI initiatives. You'll work with modern tooling, collaborate closely with Engineering and DevOps, and help shape a robust, scalable data ecosystem.



    The Role

    As a Data Engineer, you will play a key role in building and improving data pipelines, increasing access to platform and event data, and developing reliable, reusable datasets that support analytics and data‑driven decision‑making.

    You'll take ownership of evolving the company's AWS‑based data infrastructure and contribute directly to high‑impact initiatives across analytics, ML, and AI.



    Key Responsibilities:

    * Build, maintain and enhance data pipelines from operational systems into analytics platforms
    * Partner with Engineering & DevOps to support ingestion, replication and platform data flows
    * Define data storage strategy and manage data in AWS S3
    * Build analytics‑ready datasets in AWS Redshift, using dbt for transformation
    * Improve data quality, monitoring and documentation across the data stack
    * Support ML/AI initiatives with clean, well‑structured datasets
    * Ensure data practices align with GDPR, security and compliance standards



    Experience Required

    * Strong SQL skills and experience working with AWS Redshift
    * Strong Python experience for production data pipelines
    * Hands‑on experience with dbt for modelling and transformations
    * Familiarity with AWS services
    * Comfortable partnering with Engineering and DevOps on data workflows
    * Understanding of version control and CI/CD best practices

    Benefits:

    * 25 days' annual leave and your birthday off
    * Stock options eligibility
    * Remote working
    * Career development opportunities in a scaling tech environment
    * Employee Assistance Programme - 24/7 wellbeing support
    * Regular team socials and events
    * Pension plan

    Head of Engineering

    England, London

    • £80,000 to £150,000 GBP
    • Engineer Role
    • Skills: Python, Devops, QA, ML, aws, data science, spark, databricks,
    • Seniority: Senior

    Job description

    Head of Engineering - Permanent

    Location: Remote
    Reports to: CTO

    A fast‑growing technology company is seeking a Head of Engineering with deep experience building and scaling complex, data‑driven platforms. This role requires someone who can lead multi‑disciplinary teams, improve engineering execution, and drive technical excellence across high‑scale distributed systems and machine‑learning environments.

    Required Experience

    * Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps.
    * Proven track record designing, scaling, and maintaining distributed systems and high‑volume data pipelines.
    * Strong background in cloud‑native architectures and modern data stacks such as Spark or Databricks.
    * Experience working closely with Data Science teams, including delivering production‑grade ML models and pipelines.
    * Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross‑functional technical decisions.
    * Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability engineering, and cloud infrastructure management (AWS preferred).
    * Demonstrated ability to balance delivery speed with long‑term technical quality, reliability, and maintainability.
    * Experience hiring, mentoring, and developing engineering leaders and high‑performing teams.

    Role Overview

    You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machine‑learning capabilities at scale. The engineering organisation already uses AI‑assisted development, and you will refine these practices, improve delivery predictability, and strengthen the technical foundation for long‑term growth.

    Responsibilities

    * Lead the engineering roadmap and technical execution across all product and platform teams.
    * Guide architectural decisions in data engineering, ML, and web application development.
    * Implement engineering KPIs to improve delivery speed, quality, and reliability.
    * Develop a strong engineering culture centred on ownership, collaboration, and high performance.
    * Partner with Product, Data Science, and DevOps to deliver high‑quality, scalable solutions.
    * Manage engineering budgets, tooling, and cloud infrastructure costs.

    Preferred

    * Experience in search, advertising technology, or competitive intelligence.
    * Familiarity with ML lifecycle tooling and agentic coding approaches.

    Please send me a copy of your CV of you meet all of the above

    New

    AI Delivery Lead - Associate Director - Insurance

    England, London

    • £100,000 to £100,001 GBP
    • Director Role
    • Skills: Data Engineering
    • Seniority: Senior

    Job description

    AI Delivery Lead - Associate Director - Insurance, Engineering AI and Data

    Location: London
    Business Area: Technology & Transformation
    Job Type: Permanent / FTC

    Role Overview

    An industry‑leading professional services and technology organisation is seeking an AI Delivery Lead (Associate Director level) to help shape, design, and deliver next‑generation AI solutions for major Insurance clients. This is a senior role for someone passionate about blending strategic thinking, hands‑on delivery, and leadership to drive impactful outcomes.

    You will work with high‑profile enterprise clients, guiding them through complex transformation programmes and developing AI‑enabled solutions across traditional AI, generative AI, data science, and cloud engineering.

    Key Responsibilities

    Client Engagement & Solution Design

    * Partner with senior client stakeholders to understand business challenges and shape AI‑enabled solutions.
    * Translate complex insurance domain needs into actionable technology strategies.
    * Identify AI opportunities and lead go‑to‑market initiatives and strategic partnerships.

    Delivery Leadership

    * Lead and manage multidisciplinary teams including data scientists, engineers, developers, and analysts.
    * Oversee end‑to‑end project delivery: scope, timelines, budget, and quality.
    * Ensure implementation of robust governance, data privacy controls, and responsible/ethical AI practices.

    Business Development

    * Contribute to sales, proposals, client pitches, and long‑term account growth.
    * Develop thought leadership and innovative approaches within the AI & Data domain.

    Technical & Strategic Oversight

    * Stay current with the evolving AI landscape, including GenAI and emerging technologies.
    * Identify, evaluate, and integrate new tools, platforms, and methodologies.
    * Communicate complex concepts to both technical and non‑technical audiences clearly and persuasively.

    Essential Experience & Skills

    * Extensive experience in the Insurance industry, with deep expertise across sub‑domains.
    * Proven track record delivering large-scale, production-grade AI solutions.
    * Strong ability to link complex business problems with technical AI solutions.
    * Exceptional programme/project management capability.
    * Deep understanding of AI technologies, including Generative AI.
    * Demonstrated leadership skills and ability to manage diverse technical and non‑technical teams.
    * Strong experience with agile methodologies and modern delivery practices.



    Please send me a copy of your CV of you meet the requirements