1 to 25 of 53 Remote Snowflake Jobs in the South East

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 ❯

cloud platforms to support our work in architecting, building and maintaining the data infrastructure. The specific focus for this role will start with GCP however we require experience with Snowflake and Databricks also. As a senior member within the data engineering space, you will play a pivotal role in designing scalable data pipelines, optimising data workflows, and ensuring data availability More ❯

cloud platforms to support our work in architecting, building and maintaining the data infrastructure. The specific focus for this role will start with GCP however we require experience with Snowflake and Databricks also. As a senior member within the data engineering space, you will play a pivotal role in designing scalable data pipelines, optimising data workflows, and ensuring data availability More ❯

cloud platforms to support our work in architecting, building and maintaining the data infrastructure. The specific focus for this role will start with GCP however we require experience with Snowflake and Databricks also. As a senior member within the data engineering space, you will play a pivotal role in designing scalable data pipelines, optimising data workflows, and ensuring data availability More ❯

share options Hybrid working - 1 day a week in a central London office High-growth scale-up with a strong mission and serious funding Modern tech stack: Python, SQL, Snowflake, Apache Iceberg, AWS, Airflow, dbt, Spark Work cross-functionally with engineering, product, analytics, and data science leaders What You'll Be Doing Lead, mentor, and grow a high-impact team More ❯

. Experience with data lakes/lakehouses (Databricks, Unity Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation More ❯

technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data More ❯

technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data More ❯

technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data More ❯

around CI/CD, infrastructure-as-code, and modern data tooling Introduce and advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ years in Data Engineering, including More ❯

Ability to logically model data Ability to interpret XML and XSD Solid understanding of data Warehouse structures and processes Ability to read SQL and write SQL queries Knowledge of Snowflake Ability to use data visualisation tools (such as Power BI) Cloud Consumption and Automation Tools Python& Cosmos (advantageous) What we offer Join us and you'll find a different way More ❯

Client: Award Winning FinTech Firm Rate: Up to £675 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation More ❯

Client: Award Winning FinTech Firm Rate: Up to £675 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation More ❯

Client: Award Winning FinTech Firm Rate: Up to £675 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation More ❯

Engineering teams Strong technical background (5+ years) in building scalable data platforms Excellent communication and stakeholder management skills Hands-on experience with modern data tools and technologies — Python, SQL, Snowflake, Airflow, dbt, Spark, AWS, Terraform A collaborative mindset and a passion for mentoring and developing others Comfortable balancing technical decisions with business needs Nice to have: experience with Data Mesh More ❯

Application Support Manager - Investment Banking - London/Hybrid (Key skills: Application Support, Service Delivery, ITIL, Salesforce, Figaro, Invu, Snowflake, Power BI, Incident Management, Problem Management, Change Management, Application Lifecycle, Team Leadership, SLA Management, Vendor Management, Stakeholder Engagement, Continuous Improvement, Risk & Compliance, Investment Banking) Are you an experienced leader in application support, skilled in managing business-critical systems in high-pressure More ❯

and data systems. Expert knowledge of relational database design, normalisation, and data modelling. Proficiency in SQL, database optimisation, and data mapping. Strong understanding of ETL processes, data warehousing concepts (Snowflake advantageous), and API integrations. Experience with both custom-built systems and commercial platforms. Awareness of cloud-based architecture, ideally Azure. Proven ability to communicate complex technical concepts to non-technical More ❯

and data systems. Expert knowledge of relational database design, normalisation, and data modelling. Proficiency in SQL, database optimisation, and data mapping. Strong understanding of ETL processes, data warehousing concepts (Snowflake advantageous), and API integrations. Experience with both custom-built systems and commercial platforms. Awareness of cloud-based architecture, ideally Azure. Proven ability to communicate complex technical concepts to non-technical More ❯

and data systems. Expert knowledge of relational database design, normalisation, and data modelling. Proficiency in SQL, database optimisation, and data mapping. Strong understanding of ETL processes, data warehousing concepts (Snowflake advantageous), and API integrations. Experience with both custom-built systems and commercial platforms. Awareness of cloud-based architecture, ideally Azure. Proven ability to communicate complex technical concepts to non-technical More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

Technology) Experience with Alteryx or Python would be desirable Exposure to financial services or similar data-driven sectors is desirable Understanding of Financial and Management Accounts Prior experience with Snowflake and/or Workday Adaptive is highly desirable Our client is an equal opportunities employer and welcomes applications from all backgrounds. Please let us know should you require any adjustments. More ❯