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Data Engineering and Science Platformer (entry level)
Build and maintain data pipelines and analytics platforms in Python and SQL on Google Cloud to power data-driven marketing campaigns for global brands.
Head of Data Engineering — Lead Strategy & Data Excellence
Lead a small team to build and maintain Numan’s data infrastructure, from ingestion to reporting, ensuring reliable insights for commercial decisions.
Data Analytics Engineer
Build and maintain cloud-based data pipelines and analytics using AWS, Snowflake, Hadoop, SAS, and Power BI to extract, transform, and visualize large datasets for actionable business insights.
Senior Data Engineer II — Lead AI Data Platform (Hybrid)
Lead the design and modernization of a scalable data platform for the UK’s largest property marketplace, focusing on AI-assisted data engineering and high-impact data solutions.
Senior Data Engineer (Machine Learning (ML)
Senior Data Engineer (ML) builds and scales production-grade AI systems from prototypes, leading MLOps, CI/CD, and model monitoring alongside data scientists in a government team.
Contract Databricks Data Engineer Role - Remote - GBP400/pd
Builds and maintains Databricks-based data pipelines for a fintech firm’s Decision Science team, ensuring high-quality data for business decisions while collaborating with analysts and stakeholders.
Senior Data Engineer - Databricks & Production Data Platform
Builds and maintains a Databricks-based data platform and production pipelines for a FinTech company, requiring hybrid in-office work (2 days/week).
Data Analytics Engineer I Data engineering London
Build and maintain scalable data pipelines and models for Checkout.com’s financial infrastructure, ensuring accuracy and compliance while partnering with finance teams to enable data-driven decisions.
Senior Data Platform Engineer — Healthcare Analytics (Hybrid)
Leads healthcare data platform architecture, designs systems, mentors engineers, and collaborates with data scientists to deliver secure, multi-region data solutions for clients, focusing on Databricks and NHS data integrations.
Data Engineer III — Build End-to-End Production Pipelines
Builds and maintains end-to-end data pipelines using Python, Airflow, Snowflake, and Databricks to ingest, transform, and deliver data securely for business decisions.
Senior Data Engineer (Databricks / Snowflake)
Builds and leads data pipelines for financial services clients using Databricks/Snowflake, mentoring engineers and translating business needs into trusted data solutions with a focus on regulated environments.
Senior Data Engineer - Defence (Lead Data Platforms)
Senior Data Engineer to design and lead defence-focused data platforms, mentor teams, and ensure high-quality data solutions for accredited systems.
Principal Data Engineer - Kings Cross
Leads and mentors data engineers to design, optimize, and govern cloud-based data pipelines, ensuring scalability, security, and compliance in a fully cloud-native environment.
Senior Data Platform Engineer - Health Data, Cloud
Leads data platform architecture and team mentorship for NHS data pipelines, ensuring compliance and driving standards with Databricks and cross-functional partners.
Senior Data Engineer II (Data Platform)
Leads the design and evolution of Rightmove’s data platform, focusing on scalable, reliable data infrastructure for analytics, AI, and ML initiatives. Owns architecture, integration of tools like dbt/Spark, and mentors engineers while driving AI-assisted workflows.
Data Engineer - Data Science Platform
Senior Data Engineer builds and maintains scalable data pipelines and platform components in Azure using Python/Scala, Spark, and Databricks to power ASOS’s ecommerce analytics and machine learning.
Senior Data Engineer (Defence)
Leads data engineering projects for defence clients, building production platforms and pipelines using Python, Spark, and cloud tools while mentoring junior engineers.
Databricks Data Engineer
Builds and maintains scalable data pipelines and analytics solutions in Azure Databricks/Data Factory, focusing on HR/employee lifecycle data. Core tech: Spark, Python/Scala, SQL, Azure services, ETL, and DevOps tools.