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.
Design and optimize database systems, build and manage ETL pipelines, and ensure data security and compliance within a college IT environment. Work closely with a third-party consultant and internal teams to improve data infrastructure and support organizational transformation. Focus on scalability, data governance, and integration across business systems.
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.
Job title: Data EngineerLocation: Surrey (Hybrid working)Type: PermanentSalary: £50,000-£75,000Visa sponsorship: Not availableA UK-based technology business building advanced data-driven capability for a government-facing mission. The team works with real-world sensor and geospatial data at scale, across cloud and edge/on‑prem environments, and...
This role involves working as a Data Engineer for a public sector organisation, focusing on Azure and Databricks technologies. The position is remote and requires active SC and NPPV3 security clearances.
As a Senior Data Engineer, you will design, build, and optimize scalable data pipelines and ETL/ELT processes using Microsoft Fabric and Azure technologies. You will work closely with stakeholders to deliver high-quality data solutions, ensure data quality and security, and mentor junior team members.
This role involves developing and maintaining data solutions within Azure, supporting enterprise service integration, operational reporting, and data-driven decision-making. You will work closely with service architects, management teams, and technical stakeholders to ensure data accuracy, security, and alignment with enterprise service delivery requirements.
The role involves building and evolving scalable data pipelines using Databricks, integrating data from multiple sources, and developing robust ETL processes. You'll work with SQL and Python to enhance data transformations, support data warehouse development, and contribute to the modernisation of a Microsoft-based data platform. The position offers technical ownership and influence over the future direction of the organisation's data architecture.
The role involves building and evolving scalable data pipelines using Databricks, integrating data from multiple sources, and developing robust ETL processes. You'll work with SQL and Python to enhance data transformations and contribute to the design and performance of data warehouses and models. The position offers hands-on involvement in shaping a modern Microsoft-based data platform within a collaborative, growing team.
As a Senior Data Engineer, you will design, build, and optimize data pipelines and ETL/ELT processes using Microsoft Fabric and Azure technologies. You will work closely with stakeholders to deliver scalable, reliable data solutions and contribute to the overall data architecture and team development.
This role involves designing, building, and optimizing data pipelines and ETL/ELT processes using Microsoft Fabric and Azure technologies. You'll work closely with stakeholders to deliver scalable, reliable data solutions and contribute to the overall data architecture and team development.
This role involves developing and maintaining data pipelines, transforming and normalising data from multiple sources, and implementing checks to ensure data accuracy and consistency. You'll work closely with the team to improve data quality, troubleshoot discrepancies, and optimise processes in a fast-moving financial services environment.
This role involves designing and building an open-source data transformation layer for a national data exchange platform. Responsibilities include developing reusable data pipelines using Apache NiFi, RDF, SPARQL, Python, and Java, and ensuring secure and reliable data processing and exchange.
This role involves working in the Mobile Frameworks Lab to develop innovative solutions for understanding and improving customer interactions with the bank. Responsibilities include building and maintaining data pipelines using GCP tools, supporting production environments, and collaborating with a team focused on sustainable growth.
This role involves leading the design, build, and delivery of a modern enterprise data platform for a major UK financial services organization. Responsibilities include defining the data platform strategy, building a high-performing team, driving cloud migration, and establishing robust governance and data quality standards.
