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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

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.

Data Engineering Lead - Summary


A leading global construction firm is seeking a Data Engineering Lead to drive the evolution of its hybrid Azure/Databricks data platform. This role is central to building scalable, high-performance data solutions that bridge infrastructure and business intelligence.


Key Responsibilities:
* Design and maintain robust data pipelines for ingestion, transformation, and delivery
* Leverage Azure, Databricks, and Azure Data Factory to integrate and enrich data from diverse sources
* Implement orchestration, monitoring, and error-handling best practices
* Optimize hybrid cloud architecture for performance, scalability, and cost-efficiency
* Lead a team of BI Developers, ensuring timely delivery of dashboards and data products
* Promote adoption of best practices and continuous learning within the team
* Enforce data quality, governance, and security standards


Technical Requirements:
* Deep experience with Azure, SQL, Databricks, Azure Data Factory, and medallion architecture
* Strong ETL design and hybrid cloud integration skills
* Proficiency in Power BI and DAX for dashboard development
* Solid understanding of KPI frameworks and dashboarding tools
* Proven leadership in data analytics or BI, ideally in construction or project delivery environments
* Strong communication and stakeholder engagement abilities


Benefits:
* Competitive bonus, pension, and private medical cover
* Flexible working, generous leave, and wellbeing support
* Career development via a dedicated learning academy



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

My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are one of the leaders within the AI space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge multinational equity firm who are looking to bolster my client's financial position. They are expected to see year-on-year growth, which will allow them to implement and utilise the most in-demand and cutting-edge technology on the market right now.





Main Responsibilities

• Develop scalable systems and reusable components that serve as reference points for new team members.
• Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation.
• Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with minimal delay.
• Utilise AI-powered development tools to enhance productivity and code quality.
• Collaborate within Agile teams to refine and monitor data collection systems using Scala and Java.
• Apply sound engineering principles such as test-driven development and modular design.

Preferred Background

• Hands-on experience with Spark and Scala in commercial environments.
• Familiarity with Java and Python.
• Exposure to distributed data systems and cloud storage platforms.
• Experience designing data schemas and analytical databases.
• Use of AI tools to streamline development and debugging.
• Strong grasp of algorithmic thinking and performance optimisation.
• Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra.
• Experience with systems like Kafka or RabbitMQ.
• Ability to build and manage ETL pipelines using tools like Airflow.

This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - S.Khan@Tenthrevolution.com or call 0191 338 7493 for a catch-up in complete confidence.

Tenth Revolution Data Teams offer more opportunities across the UK than any other recruiter. We're the proud sponsor and supporter of SQLBits, AWS RE: Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.