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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 Snowflake Data Engineer - Remote - £competitive

About the Role
We are looking for an experienced Senior Snowflake Data Engineer to join a dynamic team working on cutting-edge data solutions. This is an exciting opportunity to design, build, and optimise high-performance data pipelines using Snowflake, dbt, and modern engineering practices. If you are passionate about data engineering, test-driven development, and cloud technologies, we'd love to hear from you.



Key Responsibilities

• Design, develop, and optimise scalable data pipelines in Snowflake.
• Build and maintain dbt models with robust testing and documentation.
• Apply test-driven development principles for data quality and schema validation.
• Optimise pipelines to reduce processing time and compute costs.
• Develop modular, reusable transformations using SQL and Python.
• Implement CI/CD pipelines and manage deployments via Git.
• Automate workflows using orchestration tools such as Airflow or dbt Cloud.
• Configure and optimise Snowflake warehouses for performance and cost efficiency.

Required Skills & Experience

• 7+ years in data engineering roles.
• 3+ years hands-on experience with Snowflake.
• 2+ years production experience with dbt (mandatory).
• Advanced SQL and strong Python programming skills.
• Experience with Git, CI/CD, and DevOps practices.
• Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure).
• Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation.

Preferred Qualifications

• Snowflake certifications (SnowPro Core or Advanced).
• Experience with dbt Cloud and custom macros.
• Exposure to real-time streaming (Kafka, Kinesis).
• Familiarity with data observability tools and BI integrations (Tableau, Power BI).

What We Offer

• Opportunity to work with modern data technologies and large-scale architectures.
• Professional development and certification support.
• Collaborative, engineering-focused culture.
• Competitive salary and benefits package.

Interested?
Apply now with your CV highlighting your Snowflake, dbt, and DevOps experience.

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 Engineer (Azure & Databricks)

Location: London (Hybrid - 2 days in office)
Salary: £65,000 + Benefits
Level: Mid-Level

About the Role:
We're looking for a talented Data Engineer to join a leading consultancy and work on cutting-edge data solutions for global clients. You'll design and build scalable data pipelines using Azure and Databricks, ensuring high-quality, reliable data delivery for advanced analytics and AI initiatives.

Key Responsibilities:

• Develop and optimize data pipelines on Azure and Databricks
• Collaborate with data scientists and analysts to deliver actionable insights
• Implement best practices for data governance and security
• Work in a hybrid setup (2 days per week in our London office)

What We're Looking For:

• Strong experience with Azure Data Services (Data Factory, Synapse, etc.)
• Hands-on expertise with Databricks and Python
• Solid understanding of ETL processes and data modelling
• Excellent problem-solving and communication skills

Benefits:

• Work on high-impact projects with top-tier clients
• Competitive salary of £65,000 plus benefits
• Hybrid flexibility and career development opportunities
• Upskilling opportunities through paid for certifications

If you are a driven and skilled Data Engineer looking to make a significant impact, we encourage you to apply for this exciting opportunity. Your expertise will play a crucial role in shaping innovative data solutions within our team.

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