Recherche actuelle

Enterprise Architect - Contract
Location: Central London (Hybrid, 3 days on site)
Outside IR35

Key Responsibilities
Strategy and Architecture Leadership
* Define and maintain the enterprise architecture vision, principles, and target state aligned to business, digital, and data strategies.
* Develop architecture roadmaps and transition states that support both incremental delivery and long‑term transformation.
* Establish enterprise approaches for integration, data, and AI architectures, ensuring consistency, reuse, and governance.
* Ensure architectural decisions address scalability, resilience, security, regulatory compliance, ethical AI, and cost efficiency.
Integration, iPaaS and Platform Architecture

Essential Experience
* Typically 8+ years in architecture roles, including Enterprise or Lead Architect positions.
* Experience in complex, integration‑heavy, data‑driven environments.
* Strong background across business, application, data, integration, AI, and technology architecture domains.
* Deep understanding of platforms such as Salesforce, Sitecore, Microsoft Dynamics, or SuccessFactors.
* Strong communication and influencing skills at executive level.
* Familiarity with architecture frameworks (e.g., TOGAF) is desirable but not essential.
Integration and iPaaS Expertise
* Deep understanding of enterprise integration patterns and iPaaS platforms.
* Experience with API management, event‑driven systems, and SaaS ecosystems.
* Knowledge of cloud platforms (AWS, Azure, or GCP).

Desirable AI and Data Architecture Skills
* Understanding of AI and machine learning architectures, including data foundations and model lifecycle.
* Awareness of generative AI architectures and integration patterns.
* Strong appreciation of ethical AI, governance, risk, and compliance.



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

Data Solution Architect - Group & Enterprise Services

An organisation is seeking an experienced Data Solution Architect to help shape its data strategy and lead the design of scalable, secure and cost‑effective data solutions. The role sits within a central data and analytics function and focuses on maturing enterprise data architecture, promoting modern data practices, and supporting a Data Mesh-aligned operating model.

Key Responsibilities

* Engage across technical and business teams, tailoring communication for different stakeholders.
* Lead end‑to‑end data solution design, ensuring alignment with enterprise architecture, governance and cost considerations.
* Provide expertise in cloud data platforms, data governance, security and modern data architecture.
* Work with domain experts to understand business data and develop usable, reusable data products.
* Support full delivery lifecycle including design, modelling, security reviews, testing and transition to BAU.
* Contribute to the design and build of data solutions on cloud platforms, particularly BigQuery and native transformation tooling.
* Collaborate with vendors on assessments, RFPs and solution implementation.

Essential Skills

* Strong experience with cloud‑native data architectures, ideally on GCP.
* Deep knowledge of BigQuery, modern data processing patterns, warehouses and Lakehouse design.
* Experience with data governance, lineage, metadata and data quality tooling.
* Practical delivery of Data Products aligned to Data Mesh principles.
* Strong architectural modelling and documentation skills.
* Experience designing for performance, scalability, resilience and cost optimisation.
* Ability to influence architectural direction and work with diverse stakeholders.
* Understanding of architectural governance processes.

Desirable

* Familiarity with EA frameworks such as TOGAF or Zachman.
* Experience in financial services or insurance.
* Knowledge of SDLC, DevOps, and data engineering delivery models.
* Exposure to multi‑cloud environments.





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

Contract Azure Data Engineer - £600/pd Outside IR35

Please note - this is a London based role which will require you to attend the London office three days per week. To be eligible for this role you must be based in the UK and have the unrestricted right to work in the UK.

My client is looking for an experienced Data Engineer to support the delivery of high‑quality data and software solutions within a fast‑paced asset management environment. You'll join a small engineering team driving improvements across core systems, analytics workflows, and DevOps-led delivery processes.

Key Responsibilities

* Analyse business processes, gather requirements, and document technical solutions.
* Design, develop, and deliver data and software solutions aligned to business goals.
* Produce clean, modular, testable code and support peer code reviews.
* Own the delivery lifecycle, remove technical blockers, and lead third‑party developers when required.
* Contribute to DevOps practices, CI/CD pipelines, test automation, and continuous improvement.
* Support testing, service transition, and knowledge transfer.
* Collaborate across the business, ensuring solutions meet quality and performance expectations.

Required Skills

* Strong Azure expertise (architecture, services, security).
* Solid data engineering experience (ETL, modelling, warehousing).
* Hands-on Azure Data Services: Data Factory, Data Lake, Synapse, Azure SQL.
* Proficient SQL and programming skills (Python/Java/C#).
* Understanding of DevOps and CI/CD (Azure DevOps/GitHub).
* Excellent communication with technical and non-technical stakeholders.

Desired Skills

* Power BI/Tableau
* Stakeholder management
* Spark/Hadoop
* Unit testing frameworks
* Azure advanced analytics
* Data warehousing experience
* Azure Data Engineer certification
* Agile/Scrum/Kanban exposure

This is a London based role which will require you to work from the London office three days per week. This is an initial 6 month contract which pays £600/pd Outside IR35.

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.

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:

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Data Warehousing & Lakehouses: Strategic evaluation and implementation of Snowflake, BigQuery, or Databricks.
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The Python Engine: Overseeing advanced automation, custom ETL frameworks, and ML integration using Python.
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BI & Visualization: Building sophisticated, executive-level insights via Power BI, Tableau, or Looker.
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Migrations: Planning and executing the transition of fragmented data sources into a unified cloud architecture.

Experience & Skills

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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.
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Swedish Leadership: Proven experience managing Swedish-native engineering teams. You thrive in a flat, autonomous, and high-trust work culture.
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Migration Architecture: You have led a large-scale data migration from start to finish, ensuring zero downtime and high data integrity.
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Strategic Communication: You can translate "storage clusters" and "compute costs" into business value for the C-suite.

Why Apply?

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Tech-First Culture: We aren't looking for a "manager"; we are looking for a technical leader who wants to build a legacy.
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The "Dream Team": Skip the hiring lag-you start with four senior, Swedish-speaking engineers who are ready to execute your vision.
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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: Senior Project Manager - Data Harmonisation Project

Outside IR35
6-12 Month Contract
Fully Remote but have to be okay to work in Finnish timezone.

Role Overview
The Senior Project Manager will oversee the end‑to‑end delivery of a global profitability reporting programme, ensuring that data, processes, and reporting capabilities are harmonised across the organisation. This role demands a proactive leader who can operate under pressure, manage ambiguity, and drive decision‑making in highly complex settings.
Key Requirements

Candidates must demonstrate solid, well‑established experience in the following areas:
* Management Accounting, including strong understanding of activity‑based costing (ABC) principles
* Industrial / Manufacturing sector experience (mandatory)
* Proven track record as a Senior Project Manager in large‑scale, complex programmes
* Strong technical competence in reporting and analytics solutions, preferably built on Microsoft Azure and Microsoft Fabric
* Excellent communication and stakeholder management skills, with the ability to lead discussions and influence decisions in complex organisational environments
* A proactive ownership mindset and the ability to perform effectively under pressure and uncertainty

Candidate Profile
To be considered, candidates must have all of the following clearly demonstrated in their CV:
* Management Accounting
* Activity‑Based Costing
* Azure
* Fabric
* Industrial/Manufacturing sector experience
* Senior‑level Project Management background

Candidates lacking industrial/manufacturing experience or those with project management experience limited to the public sector have been previously rejected by the client.

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

What You'll Be Doing:

-Enhancing and maintaining backend microservices written in Go.
-Operating and evolving an AWS‑based IoT backend (IoT Core, ECS/ECR, RDS, ElastiCache, MSK, S3, etc.).
-Reducing cloud OPEX through smart cost optimisation across compute, storage, databases, and data streams.
-Improving system stability, observability, operational flow, SLOs, and incident response.
-Simplifying and consolidating backend services into a larger existing platform.
-Driving better CI/CD pipelines, testing automation, and release processes.
-Creating documentation, architectural insights, and structured knowledge transfer for onboarding your permanent successor.

Key Requirements:

-Senior‑level Go backend development experience.
-Strong hands‑on expertise with AWS, especially IoT Core, ECS, RDS, AppConfig, Secrets Manager.
-Proficiency with Terraform / IaC.
-Experience with IoT, MQTT, or message‑driven systems.
-Solid grounding in cloud cost optimisation.
-Strong troubleshooting skills for distributed systems.
-Experience with CI/CD and observability tools (Datadog, Grafana, Sentry, etc.).
-Ability to work independently within a small team and take ownership of complex systems.