9 of 9 Part-Time Snowflake Jobs in London

Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) \n Strong SQL skills and experience with ...

sources such as Google Analytics is highly desirable \n In-depth knowledge of cloud-based data architecture, database development, and management. Previous experience with Snowflake is desirable \n Best practice for systems and data governance including development processes and documentation \n Previous responsibility for business-critical data assets and platforms ...

data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n Desirable Skills \n \n Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. \n\n Security Clearance Requirements \n The successful candidate must be eligible for an enhanced Developed Vetted/eDV security ...

applications. The Data Engineering team has recently undergone a technology transformation to migrate from our legacy data warehouse to a brand-new data platform (Snowflake + dbt + Argo Workflows + Kafka) to better enable the exciting needs of our data stakeholders (Data Science, Machine Learning and Business Intelligence, etc. … keep full control on what's going on and how we shape solutions. Key responsibilities : ● Design and implement robust data models (e.g., star schema, snowflake schema, data vault). ● Develop and maintain dimensional data models to support BI and reporting requirements. ● Develop and implement analytics solutions to track key performance ...

What I need to know \n \n Expert level hands-on experience with SQL, Python, Power BI, and familiarity with Snowflake, AWS or similar cloud data technologies. \n You must have extensive experience in Customer Analytics and Insight Generation in a Digital Retail Click-and-Collect environment, including Customer Segmentation ...

APIs can be exposed to LLM-based agents. \n Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. \n Hands-on with Snowflake, Databricks, Airflow, Kafka. \n\n Why Join Us \n \n Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts ...

products, treasury or liquidity management domains. \n \n \nYou are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights.\n \n \nYou are commercially minded. ...

rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. \n We’re an award-winning employer reflecting how our employees ...

training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS \n Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) \n Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with ...