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Data Engineer - GCP
Location: Hybrid - UK-based
Type: Full-Time | Permanent

A high-growth, specialist financial services organisation is seeking a skilled Data Engineer with strong expertise in Google Cloud Platform to join its expanding technology team. This is a rare opportunity to shape and scale a next-generation data platform at an enterprise level, supporting data-driven decision-making across a complex, fast-paced business.

The successful candidate will help architect and deliver robust GCP-based data solutions, drive automation, and play a central role in building a best-in-class data ecosystem.

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Key Responsibilities

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  Design, build, and maintain scalable data pipelines using GCP-native services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage (GCS).
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  Support the end-to-end data lifecycle - from ingestion and transformation to modelling and serving - optimised for performance and cost-efficiency.
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  Collaborate closely with stakeholders across data science, analytics, engineering, and operations to align data capabilities with business needs.
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  Drive automation and CI/CD for data workflows using Infrastructure-as-Code tools (e.g., Terraform, Deployment Manager) and DevOps practices.
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  Implement data governance frameworks including metadata management, lineage tracking, role-based access control, and data quality monitoring using tools such as GCP Data Catalog.
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  Contribute to a hybrid cloud data architecture, integrating GCP with other platforms (e.g., Azure) where needed.
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  Ensure compliance with data privacy and regulatory standards (e.g., GDPR), in collaboration with security and compliance teams.

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Key Skills and Experience

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  Strong hands-on experience with Google Cloud Platform, including:
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    BigQuery, Dataflow, Cloud Composer, Pub/Sub, Cloud Storage, IAM
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  Experience with ETL/ELT design, orchestration, and real-time or batch processing in GCP environments.
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  Proficiency in Python or PowerShell for scripting and pipeline automation.
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  Knowledge of Infrastructure-as-Code (e.g., Terraform) and experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
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  Familiarity with cloud monitoring, logging, and cost optimisation tools such as Stackdriver and Cloud Monitoring.
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  Experience implementing data governance and security best practices (e.g., RBAC, encryption, auditing).
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  Solid understanding of data modelling, data warehousing, and analytics integration.
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  Experience integrating with visualisation platforms such as Looker, Tableau, Power BI, or Domo.
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  Insurance industry data knowledge (e.g., policies, premiums, claims) is beneficial but not required.

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The Ideal Candidate

This role suits someone passionate about cloud-native data engineering who thrives in a collaborative, high-performance environment. They will have a strong technical foundation in GCP, a proactive mindset, and a desire to build innovative, reliable data infrastructure at scale.

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What's on Offer

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  A key role in building and scaling a modern GCP-based data platform.
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  Work with a high-calibre team in a rapidly growing firm with ambitious tech and data goals.
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  Competitive salary and benefits.
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  Flexible working options (hybrid within the UK).

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Want to shape the future of enterprise data on GCP?
Apply now to join a forward-thinking team at the forefront of data innovation. Reach out to Marley Taylor at Tenth Revolution Group for more information on this role: m.taylor@tenthrevolution.com

Data Engineer - Hybrid (London-Based)

Full-Time

A leading creative technology company is seeking a skilled Data Engineer to join its data team. This role is ideal for someone passionate about building scalable data infrastructure and enabling data-driven decision-making across the business.

Role Overview

As a Data Engineer, you'll be responsible for designing and maintaining robust data pipelines and models that support analytics and reporting. You'll work with diverse datasets and collaborate with cross-functional teams to ensure data is accurate, accessible, and actionable.

Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines.
• Design data models and schemas to support analytics and reporting.
• Integrate data from APIs, internal systems, and streaming sources.
• Monitor and ensure data quality and availability.
• Collaborate with analysts, engineers, and stakeholders to deliver clean datasets.
• Optimise data architecture for performance and reliability.
• Share best practices and contribute to team knowledge.

Required Skills

• 3+ years in a data engineering role.
• Proficient in SQL and Python.
• Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3).
• Solid understanding of data warehousing and modelling: star/snowflake schema
• Familiarity with Git, CI/CD pipelines, and containerisation (e.g., Docker).
• Ability to troubleshoot BI tool connections (e.g., Power BI).

Desirable Skills

• Experience with Infrastructure as Code (e.g., CloudFormation).

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

Infastructure/ Backend Developer


Contract Type: 6-month initial engagement
Start Date: 1st December 2025
Location: Remote (UK-based)
Rate: £350 per day (Inside IR35)
Clearance Required: BPSS prior to start

MUST HAVE NHS OR GOVERNMENT EXPERIENCE


Role Overview
The client is seeking a mid-to-senior level contractor with strong backend and infrastructure development experience. The successful candidate will work on maintaining and upgrading a legacy Java/Oracle system, collaborating with existing developers to gain domain knowledge and contribute to modernisation efforts using cloud-based technologies.

Key Responsibilities
* Maintain and enhance a monolithic Java application with an Oracle PL/SQL database
* Pair with existing developers to understand system architecture and business processes
* Contribute to modernisation efforts and cloud-based development practices
* Provide 3rd line support and develop tools to streamline support operations
* Apply test-driven development and CI/CD methodologies in an Agile environment

The ideal candidate will:
* Have strong backend development experience, ideally with SQL and RDS
* Demonstrate excellent problem-solving skills and a passion for working with data
* Be comfortable working with legacy Oracle PL/SQL code and motivated to improve it
* View legacy systems as an opportunity to gain valuable domain knowledge
* Embrace 3rd line support responsibilities and seek ways to automate and improve support processes
* Be proficient in test-driven development and collaborative Agile practices
* Have familiarity with Python or a willingness to learn it
* Exhibit strong communication and stakeholder engagement skills

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

BI Developer - London - £65,000

Are you passionate about building scalable BI solutions and working with cutting-edge data technologies? We are seeking a BI Developer to join a dynamic team and help shape the future of data analytics within a global organisation.

About the role:

• Design and develop BI solutions using Microsoft Fabric and related technologies.
• Build and manage data pipelines leveraging Data Factory.
• Develop semantic models in Power BI
• Collaborate with data architects, analysts, and stakeholders to deliver actionable insights.
• Optimise data models for performance and reusability.
• Support governance, security, and compliance best practices.

Key Responsibilities

• Deliver scalable Azure-based data platforms, including Data Warehouses and reporting tools.
• Provide technical support and manage a modern technology stack (Azure Synapse, SSIS, SQL, Data Lake).
• Assist with migration and reconciliation of data from legacy systems or acquisitions.
• Act as a hands-on Data Engineer across the full stack.

Requirements:

• Strong expertise in SQL, Power BI, and cloud platforms.
• Experience with Microsoft Fabric
• Excellent communication skills to engage with technical and non-technical teams.

Benefits:

• Work with cutting-edge technologies in a modern data platform environment.
• Be part of a collaborative team driving innovation and insight.
• Competitive salary and benefits package.

Senior AWS Data Engineer - London - £125,000



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

An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue.

Key Responsibilities:

• Build and maintain scalable data pipelines, warehouses, and lakes.
• Design secure, high-performance data architectures.
• Develop processing and analysis algorithms for complex data sets.
• Collaborate with data scientists to deploy machine learning models.
• Contribute to strategy, planning, and continuous improvement.

Required Experience:

• Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation.
• Strong Python and SQL skills for data processing and analysis.
• Deep understanding of data governance, quality, and security.
• Knowledge of market data and its business applications.

Desirable Experience:

• Experience with Databricks and Snowflake.
• Familiarity with machine learning and data science concepts.
• Strategic thinking and ability to influence cross-functional teams.

This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment.

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.

AWS Data Engineer - VP Level

Location: London (Canary Wharf)
Salary: £115000 - 120000


A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units.


Key Responsibilities:
* Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies.
* Implement robust data governance, quality, and security practices.
* Collaborate with data scientists to deploy machine learning models.
* Lead or contribute to strategic planning, risk management, and stakeholder engagement.
* Drive innovation through advanced analytics and research-based problem solving.

To be successful you should have:

• 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.
• Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security.
• Proficiency in data processing and analysis using Python and SQL.
• Experience with data governance, data quality, and data security best practices.
• Strong knowledge of market data and its applications.

Some other highly valued skills may include:

• Experience with other data engineering tools and technologies.
• Knowledge of machine learning and data science concepts.
• Familiarity with Barclays' data strategy and practices.

Please send me your CV is you meet these requirements and we can then arrange call