Data Architect - Contract We are seeking a skilled Data Architect to lead the design, development, and oversight of our enterprise-wide data infrastructure. This role plays a key part in defining our data strategy and ensuring high standards of data quality, accessibility, and security across multiple systems and platforms. The … ideal candidate will be a strategic thinker with strong expertise in modern data architectures and data governance practices. Required Skills and Experience: Proven experience as a Data Architect or in a similar senior data-focused role. Extensive experience with various data modelling techniques and tools. Deep understanding of different data … solutions (e.g., relational, NoSQL, data lakes) and their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and datapipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata More ❯
Your Company: NET Recruit is assisting a distribution company in their search for an Apprentice Data Engineer based in the Kent area. Established over 40 years ago, this company has grown to become a leader in sourcing, producing, and distributing fresh produce to some of the UK’s top retailers. Known for its focus on quality, integrity, and … that its ongoing success depends on its people.As part of its ongoing investment in technology and digital innovation, the business is looking for an enthusiastic and motivated Apprentice Data Engineer to join its IT team, working five days per week. This position represents an exceptional opportunity for an individual with a passion for data, analytics, and … are actively encouraged. Your Role and Responsibilities While in this position your duties may include but are not limited to: Support the design, development, and maintenance of scalable datapipelines using tools such as Apache Airflow, dbt, or Azure Data Factory. Learn how to ingest, transform, and load data from a variety of sources More ❯
Data Engineering Lead - Hybrid - Azure/Databricks - London Permanent Salary: £90,000 Are you a seasoned Data Engineering professional ready to lead the charge in building scalable, high-performance data platforms? An industry leading, global firm is seeking a Data Engineering Lead to drive innovation across their hybrid Azure/Databricks environment. … About the role: Shape data strategy for global projects Lead a talented team of BI Developers Enjoy a flexible working culture and industry-leading benefits Work with cutting-edge tech in a collaborative, inclusive environment Key Responsibilities: Architect and optimize robust datapipelines for large-scale ingestion, transformation, and delivery Leverage Azure and Databricks to enable … seamless data integration and enrichment Implement best practices for orchestration, monitoring, and error handling Lead and mentor a BI team, ensuring timely delivery of dashboards and data products Champion data governance, quality, and security across platforms Requirements: Proven expertise in Azure, SQL, Databricks, and Azure Data Factory Experience implementing medallion architecture frameworks More ❯
MI Developer has become available within Saga's finance department. Supporting both the Finance team and the wider Insurance business, this role sits within a team of 4 Data and Analytics professionals and provides the opportunity to work across multiple data sources, platforms and analytics tools. The role is all about providing technical data … Academy, our bespoke learning platform Main Responsibilities Following our Business Code of Conduct and always acting with integrity and due diligence Supporting our Ops MI team with their datapipelines, troubleshooting issues as they occur and amending processes as business requirements develop Specifying, designing and automating of business processes using BI tools Creating and maintaining technical documentation and … best practices for all aspect of data extraction and transformation Assisting the team with identifying gaps in data sets and ensuring we have optimal data quality for accurate and timely reporting and MI Working with the business and technical stakeholders, identify and develop data sets to assist in efficient reporting and MI More ❯