Experience and skills Our ideal candidate would have experience in the following areas: Proven experience leading technical teams and delivering AI and data projects in a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machine learning, data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, AzureSynapse, and Azure Functions. Implementing modern retrieval techniques such as vector search, semantic search and Retrieval-Augmented Generation (RAG) using tools like Azure Cognitive Search, FAISS, Pinecone, or Weaviate. Familiarity with data governance, privacy, and ethical AI principles. Experience with DevOps tools and More ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and AzureSynapse Strong command of SQL Excellent communication More ❯
data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and AzureSynapse Strong command of SQL Excellent communication More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Snap Analytics
authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, AzureSynapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with our clients … mentor and coach team members, fostering a culture of continuous learning and collaboration. What you'll need to succeed Experience 10+ years of professional experience working on data and analytics projects, with expertise in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical … ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools (e.g., Git, Jenkins, Docker, Kubernetes). Strong knowledge of relational and non-relational databases. Leadership & Commercial More ❯