LocationRemote working (anywhere in the UK)About the jobJob summaryThis post is open to applicants who can meet the College’s nationality, UK residency and vetting requirements.About us:PoliceAI is a nationally significant technology and transformation programme in UK policing. Backed by central...
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
The role involves leading enterprise data architecture assessments, mapping systems and data flows, identifying data risks, and defining scalable data models and integration patterns. The architect will evaluate data quality controls, platform capabilities, and readiness for AI use cases while promoting canonical data definitions and improving decision-making through data. Collaboration with cross-functional teams is essential to align technical architecture with business needs.
The QA Engineer will design and execute test plans for data migration and ETL processes, using SQL and Python to ensure data accuracy and integrity. They will coordinate testing activities across multiple projects, work closely with Data Engineers, and provide clear updates on testing progress and issues.
Lead the development and strategy of a modern data platform using Snowflake as a core component, designing scalable data pipelines and data models while driving analytics through Power BI. Translate business needs from finance, operations, and compliance into robust data solutions, improve data governance, and mentor a growing team. Play a key technical and leadership role in shaping the future architecture and practices of the data function within a mission-driven organisation.
Location: Perth, Sydney and Melbourne, Australia (Relocation support considered)About the RoleWe are seeking a Data Analyst or Data Engineer to support data-driven decision making across multiple business functions and industries in Australia.You will work with modern analytics tools and contribute...
This role involves designing and developing interactive DOMO dashboards, building and optimizing ETL/ELT pipelines, and applying advanced analytics to transform complex data into actionable insights. You will collaborate with business and technical stakeholders to define KPIs and ensure high data quality standards.
This role involves designing and developing Power BI dashboards, building SQL queries, and supporting the development of Microsoft Fabric and Azure capabilities. You will work closely with commercial stakeholders to understand requirements, prioritize delivery, and improve data quality and governance.
Data Platform Engineer£50,000 per annumHybrid - Milton Keynes or BostonPermanent, Full-TimeSummaryThis role is for a hands‑on engineer who enjoys building reliable, scalable data pipelines that people trust and use. As a Data Platform Engineer, you’ll play a key part in...
This role involves designing and maintaining Power BI dashboards, semantic models, and datasets, as well as building and optimizing SQL data models. You will work with various stakeholders to analyze revenue, pricing, and customer behavior, and help establish best practices in BI development and governance.
This role involves working as a BI Developer in a leading financial services company, focusing on banking and regulatory reporting. Responsibilities include developing and maintaining critical systems using Axiom, BI, ETL, RPA, Oracle, and SQL. Fluency in Mandarin and English is mandatory.
This role involves leading an analytics team, performing data analysis, and working closely with operational teams and stakeholders to improve performance and deliver actionable insights. The focus is on operational environments like airports, logistics, or manufacturing.
This role focuses on driving adoption and revenue for Databricks Lakebase, a fully managed Postgres service designed for AI-native and intelligent applications. The specialist will collaborate with account teams to engage technical and business stakeholders, lead complex sales cycles, and validate use cases such as real-time workloads and reverse ETL through proofs of value. Success involves enabling field teams, shaping go-to-market strategy, and positioning Lakebase against competitive databases in enterprise environments.
The Senior Solutions Engineer role involves leading technical engagements with customers, designing solutions, and delivering platform demonstrations. Responsibilities include building proofs-of-concept, managing customer relationships, and developing technical strategies to expand Databricks platform usage.
The role involves building data pipelines, creating actionable dashboards, and conducting deep-dive analytics to improve customer success and digital experience. It focuses on leveraging Gen AI for automation and insight generation, supporting A/B testing, and translating data into strategic recommendations. The position requires strong collaboration with engineering and cross-functional teams to enhance customer journeys and operational performance.
This senior-level role involves working closely with business stakeholders to translate their reporting needs into technical specifications, supporting users with BI tools, and promoting a self-service data culture. Responsibilities include leading workshops, troubleshooting issues, and ensuring data quality and consistency.
This role involves ensuring high-quality data governance within a global travel company. Responsibilities include automating data quality checks, maintaining data dictionaries, collaborating with technical and business teams, and analyzing complex datasets to inform business decisions.
