Design and build data pipelines and APIs while maintaining business-critical applications in Python and TypeScript. Work across Google Cloud, BigQuery, and MongoDB to automate processes and improve data quality. Collaborate with stakeholders to translate business needs into technical solutions and enhance system reliability.
Design and build production-grade data pipelines using Microsoft Fabric, PySpark, and Azure technologies for high-regulation clients. Develop Lakehouse and Warehouse solutions on OneLake, implement data governance, and collaborate with data architects and scientists on large-scale transformation projects. Focus on scalable, cloud-native engineering practices with strong emphasis on quality and CI/CD.
Lead the design and development of modern data platforms as part of a major IT transformation initiative. This role involves building scalable data solutions on Microsoft Fabric, leveraging SQL, Python/PySpark, and Azure Data Factory, while guiding future team growth. Work is primarily remote with flexibility across the Midlands.
Design and build data pipelines to migrate and integrate data from diverse sources like Oracle, SharePoint, and Informatica into Azure Data Lake and Datab游戏副本ricks. Focus on establishing scalable ingestion patterns and improving data engineering maturity in a developing Azure environment, with strong collaboration across technical and business teams.
Lead the development and execution of a modern data and AI strategy, building scalable cloud-based data platforms and driving innovation through AI, machine learning, and automation. Work hands-on with technical teams to design architectures, implement data solutions, and deliver actionable insights across the business. Shape a growing data function within a dynamic, technology-driven organisation focused on data-led transformation.
Lead the development and implementation of enterprise-wide data, AI, and automation capabilities within a global FTSE100 organisation. Oversee technical roadmaps, data governance, and scalable AI solutions while leading a hybrid onshore-offshore engineering team. Drive adoption of centralised platforms and mentor team members in data architecture, security, and emerging technologies.
Design and implement robust data pipelines using Quantexa, Spark, and Databricks while configuring platform components and supporting client engagements. Lead technical development of data engineering solutions with opportunities for training and career growth. Work in a hybrid setup with a focus on scalable, cloud-based data integration.
Technical Lead Full Stack Developer(TypeScript, JavaScript, Node)Location: Hybrid working within Midlands / SouthSalary: Competitive + benefitsWe're working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their...
This role involves designing and delivering end-to-end data engineering solutions on a modern Azure-based platform, supporting reporting, analytics, and future AI initiatives. The engineer will build scalable ETL/ELT pipelines, develop data models, and contribute to an enterprise ontology to enhance data relationships across domains. Working within a transformative care organisation, the role offers direct impact on shaping a future-proof data estate.
This role involves building and optimizing data pipelines within a modern AWS-based data platform, working closely with experienced professionals. You will design data ingestion pipelines, maintain data models using dbt, and support the development of AI-driven data products.
The Analytics Engineer will design and maintain Power BI reports, support the implementation of Snowflake, and manipulate large datasets to provide actionable insights. They will collaborate with cross-functional teams to understand and meet their analytical needs, using SQL and Python to enhance data processing and reporting.
The BI Analyst role involves working closely with various divisions to understand their data needs, supporting the migration from legacy SQL systems to a modern cloud platform, and creating insightful dashboards and reports using Power BI. You will also develop ETL processes for healthcare data and lead proof-of-concept initiatives for new data platforms.
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.
