1 to 25 of 156 Snowflake Jobs in the UK excluding London

Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical More ❯

backbone of great data analysis, and as such the data engineer is crucial to the success of the data department overall. TLA works with the modern data stack, utilising Snowflake for our data warehouse, dbt to transform data across our medallion architecture, and Apache Airflow for orchestration. Microsoft Azure is our choice of cloud provider for hosting infrastructure. Within the More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

tools and big data platforms. • Knowledge of data modeling, replication, and query optimization. • Hands-on experience with SQL and NoSQL databases is desirable. • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: • Comfortable operating in hybrid environments (cloud and on-prem). • Experience integrating diverse data sources and systems. • Understanding of secure data transfer More ❯

tools and big data platforms. • Knowledge of data modeling, replication, and query optimization. • Hands-on experience with SQL and NoSQL databases is desirable. • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: • Comfortable operating in hybrid environments (cloud and on-prem). • Experience integrating diverse data sources and systems. • Understanding of secure data transfer More ❯

p/day Key Responsibilities: Designing and maintaining scalable ETL/ELT pipelines . Integrating data from multiple sources into a centralised warehouse (SQL Server, PostgreSQL, or Snowflake). Working with Azure Data Factory and cloud-native tooling for data orchestration. Structuring data models to support Power BI dashboards and reports. Implementing data governance, quality frameworks, and security controls . More ❯

in analytics engineering, data engineering, or closely related roles Strong proficiency in SQL, Python, and dbt (strongly preferred) Hands-on experience with Azure Databricks and cloud-based data platforms (Snowflake experience also valued) Solid understanding of dimensional modelling, lakehouse/warehouse design, and modern data stack Familiarity with Git, CI/CD, and software engineering best practices Experience with Power More ❯

personal projects Understanding of data pipelines, ETL/ELT, or data warehousing Awareness of cloud platforms (e.g., AWS, Azure, or GCP) Understanding of modern data tools (e.g., dbt, Airflow, Snowflake, BigQuery) Version control tools (e.g., Git) What You’ll Gain Hands-on experience with a modern AI-enabled data stack in a real-world, production environment The chance to contribute More ❯

Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and document scalable, reliable data models Comfortable gathering business requirements and translating More ❯

be doing: Leading technical teams to design and deliver large-scale, end-to-end data solutions Architecting modern data platforms (data lakes, lakehouses, warehouses) with Databricks and related tools (Snowflake, Synapse, Azure Fabric) Applying data governance and master data management practices to ensure quality and compliance Advising clients on strategy, future-state architectures, and cloud migrations Driving collaboration, innovation, and More ❯

be doing: Leading technical teams to design and deliver large-scale, end-to-end data solutions Architecting modern data platforms (data lakes, lakehouses, warehouses) with Databricks and related tools (Snowflake, Synapse, Azure Fabric) Applying data governance and master data management practices to ensure quality and compliance Advising clients on strategy, future-state architectures, and cloud migrations Driving collaboration, innovation, and More ❯

be doing: Leading technical teams to design and deliver large-scale, end-to-end data solutions Architecting modern data platforms (data lakes, lakehouses, warehouses) with Databricks and related tools (Snowflake, Synapse, Azure Fabric) Applying data governance and master data management practices to ensure quality and compliance Advising clients on strategy, future-state architectures, and cloud migrations Driving collaboration, innovation, and More ❯

be able to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, Azure, AWS, etc. Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs More ❯

be able to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, Azure, AWS, etc. Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs More ❯

prestigious client. About You: You'll bring technical excellence, hands-on experience, and the ability to manage multiple test activities simultaneously. We're looking for: Expertise in testing Oracle, Snowflake, and Postgres databases and data warehouses Experience delivering fully reconciled Facts and Dimensions with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI More ❯

teams to resolve them. Strong analytical mindset and attention to detail. Clear, concise communicator able to present technical findings simply. Desirable: Experience testing in big data environments using Databricks, Snowflake, or Redshift. Knowledge of data governance and lineage tracking tools. Exposure to data performance and load testing. Experience in an Agile delivery environment. More ❯

work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step More ❯

work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step More ❯

work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step More ❯

Use SQL and Python (Pandas, PySpark) to analyse data, automate workflows, and generate insights. Design and manage ETL/ELT processes, data models, and reporting automation . Leverage Databricks, Snowflake, and GCP to enable scalable reporting and analytics. Partner with leadership to identify opportunities for new tools, automation, and AI-driven improvements. Act as the bridge between Sales and cross More ❯

and beverages Requirements Highly proficient in SQL Highly proficient in Python Strong understanding of data modelling techniques, e.g. 3NF, Kimball Experience using cloud-based data platforms and infrastructure, e.g. Snowflake, BigQuery etc Experience building data integrations and understanding of best practices Understanding of the development lifecycle and best practices Desire to build relationships with an ability to deliver solutions to More ❯

digital-first environments. Hands-on experience with ETL/ELT pipelines, APIs, and system integrations . Proficient in SQL and experienced with tools such as dbt, Airflow, Fivetran, Stitch, Snowflake, BigQuery, or Redshift . Familiar with cloud platforms (AWS, GCP, or Azure). Excellent problem-solving and troubleshooting skills, with a proactive and detail-oriented approach. Strong communicator who can More ❯

player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills : Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines More ❯