Harnham is a recruitment firm specializing in data and analytics roles across various sectors, including SaaS, fintech, digital entertainment, and insurance. They help organizations build and scale their data science and AI capabilities, focusing on innovation and technical excellence.
This role involves designing and maintaining scalable data systems on AWS, including data ingestion pipelines, ML-ready datasets, and data warehouse optimization. You will work closely with Data Science, Engineering, and Product teams to support real-time decision making and commercial outcomes, with a focus on cost, performance, and reliability.
This role involves taking ownership of SQL-driven data development and reporting, building and maintaining ETL pipelines using SSIS and Azure Data Factory, and developing Power BI dashboards. You will work closely with the Data Engineering Manager to deliver reliable data products and support the modernisation of the data warehouse and presentation layer.
As a Lead Data Platform Engineer, you will take ownership of a modern Databricks platform in Azure, designing and developing end-to-end data solutions, implementing CI/CD practices, and ensuring optimal platform performance. You will work closely with stakeholders to shape best-in-class data engineering practices and drive the long-term architectural direction.
As a Lead Data Platform Engineer, you will design and develop end-to-end data platform solutions in Azure using Databricks, focusing on automation, monitoring, and DevOps best practices. You will take ownership of the platform's architectural direction and work closely with stakeholders to improve data capabilities.
This role involves leading the development and maintenance of a Databricks platform in Azure, focusing on end-to-end data solutions, automation, and DevOps practices. You will take ownership of design decisions and long-term architectural direction, working closely with stakeholders to enhance data capabilities.
This role involves leading the development and maintenance of a Databricks platform in Azure, focusing on end-to-end data solutions, automation, and DevOps practices. You will shape the architectural direction and work closely with stakeholders to ensure best-in-class data engineering practices.
This role involves taking ownership of a cloud-based data platform on GCP, building and maintaining robust ingestion pipelines, and designing high-quality data models to support analytics and self-serve BI. You will work closely with analytics and commercial teams to translate business needs into technical solutions, ensuring data reliability and scalability while contributing to data governance and platform improvements.
This role involves designing and maintaining end-to-end ELT and ETL pipelines within a large-scale AWS environment, building well-structured data models, and improving data quality and governance. You will lead architectural decisions, support transformation projects, and mentor a junior engineer in a digital-focused financial services organization.
This role involves designing, building, and optimizing cloud-based data pipelines and warehouses for a fast-growing financial services company. You will shape data architecture, improve processes, and mentor a junior engineer while working in a collaborative, agile environment with a focus on innovation and governance.
As a Data Engineer, you will play a key role in shaping the data infrastructure of a high-growth SaaS company in the digital advertising space. Your responsibilities will include designing and managing data ingestion pipelines, building and maintaining data pipelines for machine learning and analytics, and working closely with Data Science and Platform Engineering teams to productionise models and improve data foundations.
