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Data Architect (AWS/Azure) - Up to £90,000

A global consultancy is continuing to expand its Data & AI practice. They are seeking a Multi cloud Data Architect (AWS/Azure) with strong consultancy experience to help design, shape, and deliver modern data platform solutions for enterprise clients across multiple industries.

This is a permanent role with a clear pathway to senior leadership, exposure to high-impact programmes, and the opportunity to architect cloud-native data, analytics, and AI platforms at scale.



About the Role:

As a Data Platform Architect, you'll work across the full data value chain - shaping architecture, advising clients, leading small teams or workstreams, and remaining hands-on enough to stay close to delivery.

You'll be involved in designing scalable, secure, cloud-native data platforms integrating:

* Batch + real-time pipelines
* Modern data management and governance
* Advanced analytics capabilities
* ML, Generative AI and LLM integration within enterprise solutions

The consultancy works across sectors, so no specific industry background is required.



Requirements:

* Experience delivering data & analytics platform solutions
* Strong background in AWS and/or Azure (multicloud highly desirable)
* Deep understanding of cloud-centric architecture principles
* Strong grasp of core data management concepts and the end‑to‑end data lifecycle
* Experience leading small teams or delivery workstreams
* Ability to articulate concepts in AI, ML, LLMs and data mining, and translate these into enterprise architectures
* Strong consultancy skills - client-facing, stakeholder management, communication
* SC Clearance or eligibility



Salary & Benefits:

* Up to £90,000
* Comprehensive consultancy benefits package
* Travel expenses paid when travelling outside your aligned hub area
* Clear progression within a growing Data & AI function

* Expectation of 3 days per week at either a company office or client site
* Offices located across the UK

Data Platform Agile Delivery Lead - London - £575/pd

Please note - this role will require you to attend the London based office as needed. To be eligible for this role you must have the unrestricted right to work in the UK. This organisation is not able to offer sponsorship.

Overview

My client is a global technology consulting partner, working with leading consultancies and end clients to deliver high-impact digital and technology transformation programmes worldwide. They are currently supporting a major consultancy engagement and are looking for an experienced Data Platform Agile Delivery Lead to join a high-profile delivery for a government organisation.

This role combines hands-on agile delivery leadership with strategic planning and stakeholder management, supporting a large-scale AWS DevOps platform team within a complex, regulated environment.

Role Summary

You will lead a 15-person AWS DevOps Platform team, split across three delivery pods, guiding the successful delivery of a critical data and cloud platform. Acting as both Scrum Master and delivery lead, you will ensure strong agile execution while maintaining oversight of dependencies, risks, and roadmap delivery.

The ideal candidate brings a strong DevOps or cloud engineering background, is comfortable operating at both team and programme level, and can foster accountability, pace, and collaboration across technical and non-technical stakeholders.

Key Responsibilities

* Delivery Leadership: Own end-to-end delivery of the platform roadmap, managing cross-team dependencies, risks, and stakeholder reporting
* Agile Facilitation: Lead all agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog refinement across a large team
* Impediment Removal: Proactively identify and resolve technical, process, or organisational blockers to protect delivery outcomes
* DevOps Culture & Process: Support adoption of DevOps best practices including Infrastructure as Code, CI/CD, monitoring, security, and quality standards
* Stakeholder Management: Work closely with Product Managers, Architects, and Engineering leaders to align priorities and technical direction
* Metrics & Continuous Improvement: Track and analyse delivery and DevOps metrics (velocity, cycle time, deployment frequency, change failure rate) to drive performance improvements
* Coaching & Mentorship: Promote agile maturity, self‑organisation, and a culture of accountability within the team

Required Skills & Experience

* 5+ years' experience as an Agile Delivery Lead, Scrum Master, Agile Coach, or Technical Project Manager
* Strong understanding of AWS services (e.g. EC2, S3, IAM, EKS, RDS)
* Hands-on knowledge of Infrastructure as Code (Terraform or CloudFormation) and CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)
* Proven ability to lead and motivate delivery teams in complex, fast-paced environments
* Strong experience using Jira or similar agile delivery tools
* Excellent communication skills, with the ability to bridge technical teams and senior stakeholders

Desirable Skills

* AWS certifications (e.g. AWS Certified DevOps Engineer)
* Agile or project certifications (CSM, CSP, PMP)
* Previous experience as a Software Engineer or DevOps Engineer

Additional Information

* Contract length: 3 months
* Day rate: £575 per day (Inside IR35)
* Location: London, with on-site attendance required for important meetings and workshops

This is a standout opportunity for a delivery-focused agile leader to play a key role in a critical cloud and data platform programme within the public sector.

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Senior Data Engineer / Microsoft Fabric Consultant

Overview

We are actively seeking a Senior Data Engineer / Microsoft Fabric Consultant to lead the design and delivery of modern data and analytics solutions across a range of client engagements. This is an exciting opportunity for someone who thrives on solving complex data challenges, building scalable architectures, and helping organisations unlock the full value of Microsoft Fabric, Power BI, and Azure.

You will partner closely with business stakeholders, technical teams, and fellow consultants to architect robust data platforms, develop high‑quality models and pipelines, and deliver actionable insights that drive decision‑making.

What You'll Do

* Lead client engagements end‑to‑end, from discovery and scoping through solution design, development, and delivery.
* Design and implement enterprise analytics solutions using Microsoft Fabric, including Lakehouse, Warehouse, Data Factory Pipelines, and Dataflows Gen2.
* Develop scalable ETL/ELT workflows, integrating, transforming, and modelling data from various sources.
* Build high‑quality Power BI dashboards, semantic models, and reporting layers aligned to business requirements.
* Translate complex business goals into data‑driven technical solutions with clear architectures and delivery plans.
* Oversee data governance, documentation, lineage, and best practices across all projects.
* Mentor junior consultants, support capability development, and contribute to delivery excellence within the practice.
* Collaborate with cross‑functional teams and stakeholders to ensure solutions meet performance, quality, and usability expectations.

What We're Looking For

* Deep expertise in Power BI: data modelling, DAX/M, RLS, performance optimisation, semantic model design, and best practices.
* Strong hands‑on experience with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Dataflows Gen2, and analytics workflows.
* Advanced SQL development skills, including complex querying, performance tuning, and working with large datasets.
* Solid understanding of data engineering principles, including ETL/ELT, ingestion frameworks, and data integration patterns.
* Strong experience with Azure data services such as ADLS, Synapse, Data Factory, or related cloud‑based tools.
* Knowledge of data governance, quality frameworks, lineage, and security best practices.
* Excellent communication, stakeholder management, and requirements‑gathering skills.
* A proactive, consultative mindset with the ability to lead solutions and influence architectural direction.

Nice to Have

* Experience with Python or PySpark for data engineering.
* Familiarity with DevOps pipelines or CI/CD for analytics solutions.
* Exposure to Fabric's broader ecosystem (Real‑Time Analytics, KQL DBs, Notebooks, etc.)
* Experience working in consulting, professional services, or client‑facing environments.

Azure Platform Engineer - Fully Remote - £550/pd Outside IR35

Please note - this role will require you to be a permanent resident of the United Kingdom with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship.

My client, a well‑established and highly respected Data & AI partner in the UK, is seeking an experienced Databricks Platform Engineer to join their team on a 6‑month outside IR35 engagement. This is an exciting opportunity to support enterprise‑level data platform initiatives while working 100% remotely.

Role Overview

You will play a key role in designing, building, and optimising a scalable Databricks platform within Azure. This role is ideal for someone with a strong background in Azure platform engineering, hands‑on Databricks experience, and proven expertise in infrastructure‑as‑code using Terraform.

Key Responsibilities

* Build, maintain, and optimise Azure-hosted Databricks environments.
* Develop robust platform automation using Terraform.
* Ensure scalability, reliability, and security of the data platform.
* Work closely with architects, data engineers, and DevOps specialists.
* Provide best‑practice guidance for Databricks operations and Azure platform engineering.
* Support platform enhancements, monitoring, and CI/CD improvements.

Required Experience

To be considered, you must have:

* Azure Platform Engineering experience in enterprise or consultancy environments.
* Strong hands‑on experience with Databricks, including workspace configuration, clusters, jobs, and security.
* Proficiency with Terraform for infrastructure provisioning and automation.
* Solid understanding of cloud networking, security principles, and platform operations.
* Experience working with modern DevOps tooling (e.g., Azure DevOps, GitHub Actions).
* Ability to work independently within a remote delivery model.

Contract Details

* Length: 6 months
* Rate: £550/day
* IR35 Status: Outside IR35
* Location: Fully remote (UK-based applicants only)
* Start Date: ASAP

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Job Description: GCP Data Engineer

About the Role

We're looking for a highly skilled GCP Data Engineer to join our growing data function. In this role, you'll design, build, and optimise scalable data pipelines and cloud-based solutions using Google Cloud Platform. You'll work closely with product, analytics, and engineering teams to deliver clean, reliable, high‑quality data that powers decision‑making across the organisation.

This is an exciting opportunity for someone who enjoys end‑to‑end ownership, solving complex data challenges, and shaping modern cloud architectures.

Key Responsibilities

Data Engineering & Pipeline Development

* Design, build, and maintain scalable ETL/ELT pipelines using GCP-native services.
* Develop batch and real‑time data processing solutions with Dataflow and Pub/Sub.
* Implement efficient, reliable workflows via Cloud Composer (Airflow).
* Build and optimise data transformations using Dataform or dbt (optional).

Data Architecture & Modelling

* Design logical and physical data models for analytics and application use‑cases.
* Implement best practices across data warehousing, partitioning, and performance tuning in BigQuery.
* Ensure data quality, observability, and governance across systems.

Cloud Engineering & Infrastructure

* Deploy scalable and cost‑efficient solutions using GCP services (GCS, Dataproc, Cloud Functions, Cloud Run).
* Use Terraform to manage cloud resources as code.
* Collaborate with DevOps/Platform teams on CI/CD and containerisation (Docker, GKE).

Collaboration & Stakeholder Engagement

* Partner with data analysts, scientists, and cross‑functional teams to understand requirements.
* Translate business needs into robust technical solutions.
* Contribute to ongoing improvements in engineering standards, documentation, and best practices.

Required Skills & Experience

* Strong hands‑on experience with Google Cloud Platform, including:

* BigQuery
* Dataflow (Apache Beam)
* Pub/Sub
* Cloud Composer
* Cloud Storage (GCS)
* Dataproc

* Strong programming skills in Python and SQL.
* Experience building large‑scale ETL/ELT pipelines.
* Solid understanding of data modelling, data warehousing principles, and analytics workflows.
* Experience with Terraform or equivalent IaC tooling.
* Familiarity with CI/CD, Git, Docker, and containerised workloads.
* Strong problem-solving skills and ability to work with cross-functional stakeholders.

Role: Head of Data (Cloud Transformation)

The Mission

We are at a pivotal architectural crossroads. As the Head of Data, you will evaluate, select, and implement our long-term data foundation. You will lead a high-performing local team to migrate legacy structures into a world-class environment built for scale and AI-readiness.

The Technical Landscape

You will have the autonomy to define our stack, focusing on the industry's leading platforms. We are looking for expertise in:

*

Data Warehousing & Lakehouses: Strategic evaluation and implementation of Snowflake, BigQuery, or Databricks.
*

The Python Engine: Overseeing advanced automation, custom ETL frameworks, and ML integration using Python.
*

BI & Visualization: Building sophisticated, executive-level insights via Power BI, Tableau, or Looker.
*

Migrations: Planning and executing the transition of fragmented data sources into a unified cloud architecture.

Experience & Skills

*

Platform Mastery: You have "seen the movie before" with at least two of the following: Snowflake, BigQuery, or Databricks. You understand the cost-to-performance trade-offs of each.
*

Swedish Leadership: Proven experience managing Swedish-native engineering teams. You thrive in a flat, autonomous, and high-trust work culture.
*

Migration Architecture: You have led a large-scale data migration from start to finish, ensuring zero downtime and high data integrity.
*

Strategic Communication: You can translate "storage clusters" and "compute costs" into business value for the C-suite.

Why Apply?

*

Tech-First Culture: We aren't looking for a "manager"; we are looking for a technical leader who wants to build a legacy.
*

The "Dream Team": Skip the hiring lag-you start with four senior, Swedish-speaking engineers who are ready to execute your vision.
*

Regional Focus: We value the talent hubs in Lund and Linköping, offering a better work-life balance and high-impact technical challenges outside the capital.

Contract GCP Data Engineer - £700/pd Outside IR35

Contract: Outside IR35
Rate: £700 per day
Duration: 4 weeks (strong potential for extension)
Location: Central London (client‑based role)
Start Date: Immediate

Role Overview

We are working with a central London-based insurance broker who requires an experienced GCP Data Engineer to support a critical short‑term engagement, with a strong likelihood of follow‑on work.

This role will suit a hands‑on engineer who can quickly embed into an existing data team, take ownership of delivery, and add immediate value within a fast‑paced commercial environment.

Key Responsibilities

* Design, build, and maintain data pipelines on Google Cloud Platform (GCP).
* Work with services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.
* Support ingestion, transformation, and optimisation of data for analytics and reporting use cases.
* Collaborate closely with analytics, data science, and engineering stakeholders.
* Ensure data quality, performance, and security best practices are applied.
* Troubleshoot and resolve data platform issues efficiently.

Skills & Experience Required

* Strong commercial experience as a GCP Data Engineer.
* Hands‑on expertise with BigQuery and modern data pipeline architectures.
* Solid SQL skills and experience with Python (or similar) for data engineering tasks.
* Understanding of data modelling, ETL/ELT patterns, and cloud‑native best practices.
* Experience working in financial services or insurance environments is highly desirable.
* Ability to start immediately and deliver with minimal onboarding.

Engagement Details

* Outside IR35
* £700 per day
* Initial 4‑week contract, with strong potential for extension
* Based with a Central London insurance broker
* Immediate start required

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Azure Platform Engineer - Contract - Fully Remote

We're seeking experienced Azure Platform Engineers to support a large‑scale cloud and data platform transformation. This role sits within a modern Azure and Databricks environment where engineering quality, precision, and clear communication are critical. Remote
Outisde IR35
6 months

Core Technical Requirements

Azure Platform Engineering

* Strong hands‑on experience building and operating Azure cloud platforms
* Deep understanding of Azure compute, storage, networking, identity, resource organisation, and governance
* Experience implementing secure, scalable Azure environments following enterprise architectural standards
* Ability to design and support foundational platform components used by data and engineering teams

Terraform (Infrastructure-as-Code)

* Solid production experience delivering Azure infrastructure exclusively via Terraform
* Strong competency with module structure, state management, variable design, and code reuse
* Experience integrating Terraform with existing tooling and workflows for controlled deployments
* Ability to produce clean, maintainable, well-structured Terraform code aligned to engineering best practice

Databricks

* Practical experience administering or engineering Databricks platforms
* Strong understanding of workspace configuration, cluster settings, compute policies, secrets, and access controls
* Knowledge of managing Databricks jobs, pipelines, and workspace resources in an enterprise setup
* Ability to work closely with data teams to ensure platform stability, performance, and governance

Unity Catalog

* Hands-on experience with Unity Catalog for data governance, access control, and lineage
* Understanding of catalogs, schemas, tables, securable objects, and permission models
* Knowledge of migrating from legacy Hive Metastore to Unity Catalog
* Ability to implement structured governance frameworks across multiple Databricks workspaces

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

Key Responsibilities

* Develop and maintain semantic data models and Power BI dashboards
* Ensure data quality, consistency, and well-defined KPI logic
* Translate business requirements into scalable and user-friendly BI solutions
* Work with Power BI (DAX, Power Query/M) and Microsoft Fabric
* Manage data refresh processes, monitoring, and solution stability
* Document data models, logic, and data sources

Additionally, you will contribute to the development of evolving data architecture, including:

* Supporting proof-of-concept initiatives for modern data pipelines
* Working with data ingestion from systems such as Oracle and other operational sources
* Prototyping data transformation and processing using Python
* Contributing to workflow orchestration using tools such as Apache Airflow
* Supporting SQL Server (on-premises) as part of a centralized data layer
* Assisting in the development of dimensional models aligned with business requirements

Technology Environment

Current Core Stack:

* Power BI (data modeling, DAX, Power Query/M)
* SQL
* Microsoft Fabric
* Data sourced from Oracle and other operational systems

Emerging / Proof-of-Concept:

* Python for data processing and prototyping
* Apache Airflow for orchestration
* SQL Server (on-premises)
* Dimensional data modelling

Future Direction:

* Potential transition toward a cloud-based architecture (e.g., Microsoft Azure)
* Increased focus on scalable data engineering and advanced analytics

Qualifications

* Strong proficiency in Power BI (data modelling, DAX, M)
* Solid SQL skills
* Understanding of modern data modelling concepts (e.g., star schema, dimensions)
* Familiarity with Microsoft Fabric or similar platforms
* Ability to translate business needs into technical solutions
* Strong communication and collaboration skills
* Fluency in English and Swedish

Preferred:

* Experience with Python and/or Apache Airflow
* Experience working with Oracle or similar data sources
* Familiarity with ETL/ELT processes
* Experience with version control (e.g., Git)
* Interest in cloud platforms such as Microsoft Azure

Personal Attributes

* Structured and detail-oriented
* Strong analytical and problem-solving skills
* Comfortable working both independently and in cross-functional teams
* Able to communicate effectively with both technical and non-technical stakeholders

About the Role

We're looking for a Data Engineer to join a collaborative, high-performing team in Stockholm.

This role is very hands-on. You'll be working closely with product, analytics, and engineering teams to build and improve the data platform ensuring data is clean, reliable, and actually useful for decision-making.

It's a great fit for someone who enjoys solving real problems, working with modern tools, and being part of a team that values quality and simplicity.

What You'll Be Doing

* Designing, building, and maintaining scalable data pipelines
* Developing ETL/ELT workflows for both batch and streaming data
* Working with Databricks and Spark to process large datasets efficiently
* Collaborating with cross-functional teams to deliver data solutions that scale
* Writing clean, production-level code in Python and SQL
* Improving data quality, reliability, and performance across the platform
* Supporting best practices in data governance and security

Tech Environment

You'll be working in a modern, cloud-based setup:

* Core: Databricks, Azure, Python, SQL
* Cloud: AWS (preferred), with Azure or GCP as a plus
* Data Engineering: ETL/ELT pipelines, Delta Lake, Airflow (or similar orchestration tools)
* Version Control & CI/CD: Git, Jenkins (or similar)
* Other: APIs, streaming data, and large-scale datasets

What We're Looking For

* 3-5 years' experience as a Data Engineer
* Strong hands-on skills in Python and SQL
* Solid experience with Databricks and Spark
* Proven track record building and optimising data pipelines
* Comfortable working in a Linux or cloud environment
* A proactive, curious mindset-you take ownership and get things done
* Comfortable working onsite in a collaborative team environment

Why This Role

* Immediate impact - you'll be contributing from day one
* Modern tech stack - work with Databricks, AWS, and scalable data systems
* Strong team environment - collaborative, low hierarchy, and delivery-focused
* Interesting challenges - large datasets, real-time data, and performance optimisation