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As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
This role involves developing and supporting enterprise data pipelines and OpenShift-based solutions, collaborating with cross-functional teams to deliver cloud-native applications, and enhancing platform performance. The developer will work on scalable, secure, and efficient data processing and operational transformation initiatives using Scala, Apache Spark, and OpenShift.
This role involves leading the technical architecture for an Azure platform, designing and building large-scale data pipelines, and integrating end-to-end data solutions. The focus is on cloud migration, data ingestion, and ensuring data quality and consistency.
This role involves leading the migration of IBM DB2 databases to AWS Aurora PostgreSQL, designing and implementing data models, and communicating complex data concepts to stakeholders. You will work 2-3 days per week onsite in Farnborough, collaborating with business and technology teams to deliver data architecture solutions.
You will design, develop, and support data integration, warehousing, and reporting solutions for a secure government programme. The role involves working with Oracle databases, ETL processes, and data quality, within a complex enterprise environment.
This role involves designing and implementing complex data flows, building robust data models, and developing cloud-based data infrastructure using GCP, BigQuery, Dataform, and Airflow. You'll work closely with developers, analysts, and other data professionals to ensure strong data quality and governance.
A little outside Leicester, but within reach.
The Platform Owner role involves managing and improving critical enterprise database platforms, coordinating with engineering teams, and supporting platform roadmaps. Key responsibilities include enhancing platform services, ensuring security and scalability, and acting as a liaison between users and the engineering team.
This role involves designing, developing, and optimizing modern data platforms using Azure Databricks. Responsibilities include building scalable data pipelines, managing large datasets, and implementing Lakehouse architectures on Azure Data Lake Storage Gen2. The position offers a hybrid work pattern with 3 days on-site in Nottingham.
Design and build data pipelines for ingestion, transformation, and modelling across internal and external sources using the Microsoft data stack. Work with stakeholders to translate business requirements into technical solutions, support analytics and Power BI reporting, and contribute to AI and machine learning initiatives. Operate across the full data lifecycle within an Agile, collaborative environment.
This role involves building and evolving scalable data pipelines using Databricks, integrating data from multiple sources, and developing robust ETL processes. The engineer will create high-performing SQL and Python transformations, contribute to data warehouse development, and help shape the future of the organisation's Microsoft-based data platform. Collaboration with technology and business teams is key to delivering reliable, scalable data solutions.
Design and maintain ETL/data pipelines to support business-critical reporting and decision-making. Work within a collaborative team to improve data quality and build scalable data solutions using Python and SQL. Operate in a hybrid environment with a focus on on-site collaboration and data infrastructure development.
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