14 of 14 Snowflake Schema Jobs in the UK

tools (Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi) or scripting using Python, PySpark, and SQL. Solid understanding of data warehousing and modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, as well as AWS security features ...

working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/ ...

working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/ ...

tools, including: o Amazon Redshift & RDS o AWS Glue, Lambda & Airflow o Amazon S3, EventBridge & Kinesis Solid understanding of data warehousing concepts (star/snowflake schemas, fact/dimension tables) Experience handling large-scale datasets and distributed processing Familiarity with version control systems (Git) Nice to Have Experience with ...

detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business ...

Data Warehouse solutions Build and maintain robust ETL/ELT pipelines using Azure Data Factory. Implement and maintain efficient data models and star/snowflake schemas. Optimize queries, improve performance, and ensure data quality and integrity. Develop and maintain Power BI dashboards and reports to deliver actionable insights ...

Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic ...

people who enable everyone at Benifex to produce and consume data by leveraging the capabilities of the data platform (services such as Snowflake, Airflow, dbt and ThoughtSpot). They architect and implement the data platform infrastructure (e.g. using Terraform, Docker), and use it to collect and protect data from … safely at scale so we can better achieve our company mission. Responsibilities 🤘 Design and implement scalable data engineering pipelines and data models in our Snowflake data platform that can support our initial scaling needs for internal and external analytics. Craft a best-in-class data development experience for data ...

Collect, transform, and process datasets from various internal and external sources, ensuring data quality, governance, and integrity.* Implement efficient data models and schemas within Snowflake, and use DBT for transformation, orchestration, and workflow management.* Optimise ELT/ETL processes for improved performance, cost efficiency, and scalability.* Troubleshoot and resolve … continuously improve your skills and knowledge. Profile * Minimum 3 years' experience working as a Data Engineer in a commercial environment.* Strong commercial experience with Snowflake and DBT.* Proficient in SQL and experienced in data modelling within cloud data warehouses.* Familiarity with cloud platforms such as AWS or Azure.* Experience ...

products Work cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data ...

standards and best practices. Key responsibilities include: Build and maintain ELT pipelines Take full ownership of data ingestion Support data modelling and architecture within Snowflake Own and evolve the dbt layer, including governance and access controls Collaborate across analytics, product, and engineering teams Contribute to platform improvements, automation … optimisation YOUR SKILLS AND EXPERIENCE: A successful Senior Data Engineer will bring: Strong SQL skills Experience with dbt in a production environment Snowflake experience is desirable Exposure to AWS Confident mentoring peers and contributing to a collaborative, high-impact team Experience working in fast-paced, agile environments with modern ...

Lead Analytics Engineer – DBT, Snowflake, AWS, A high-growth technology business (the next tech Unicorn?) is West London is looking for a Lead Analytics Engineer to help build and scale the next phase of its data and intelligence platform. This is a rare opportunity to join a company … ambitious and growing data organisation. You will work across the full lifecycle of data modelling: designing clean layers, implementing DBT transformations, building Snowflake models, optimising performance and helping to shape the foundations of a scalable analytics ecosystem. You’ll also play a key leadership role, guiding Junior Analytics Engineers ...

fast-moving environment. Ability to build good, professional relationships, both internally and externally as a representative of Reed In Partnership. Technical skills: Snowflake Scheme Design, Kimball Methodology, Star Schemas Programmes: Snowflake ...

searching for one of our key clients a Senior Data Platform Engineer to support and optimise large scale data ecosystems across PostgreSQL, Snowflake and Greenplum. This is a high-impact role within a modern digital environment, ideal for someone who thrives on complex data challenges and enterprise-grade engineering. … cloud-driven setting with Azure, modern tooling, and critical data platforms that underpin major transformation programmes. Key skills required Deep knowledge of PostgreSQL, Snowflake and Greenplum Snowflake internals, schemas, modelling, data lakes and integration patterns Data ingestion using Informatica, Talend and similar ETL tooling Strong experience handling JSON ...