1 to 25 of 387 Remote Snowflake Jobs

Snowflake DBA - Database Administration, Snowflake Admin £Market Rate (Inside IR35) London/Hybrid We are currently working with a client who urgently require a Snowflake DBA/Snowflake Administrator with Snowflake expertise as well as excellent Database, DevOps and Automation processes. Proven expertise in Snowflake Database Administration Solid understanding of Snowflake Administration/Snowflake Networking/Snowflake Identity processes …/Snowflake AI (Cortex)/Snowflake Container Services Strong understanding of Databases Strong working knowledge of Azure-based Data Platforms Familiar with Security and Data Protection Immediate availability Good awareness of the DevOps approach By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk More ❯

4+ years of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes More ❯

4+ years of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes More ❯

4+ years of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes More ❯

4+ years of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes More ❯

4+ years of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes More ❯

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 ❯

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 ❯

trends in cloud data platforms and data engineering 4+ years of experience across data engineering, cloud computing, or data warehousing Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes More ❯

environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting, and BI tools such as Apache Superset More ❯

time streaming architectures, to support advanced analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating cloud More ❯

to ensure smooth releases and integration. Key Skills Data Modelling Python & SQL AWS/Redshift 35+ years of experience in data engineering Nice to Have Airflow, Tableau, Power BI, Snowflake, Databricks Data governance/data quality tooling Degree preferred Atlassian/Jira, CI/CD, Terraform Why Join? Career Growth: Clear progression to Tech Lead. Variety: Exposure to multiple squads More ❯

ensure smooth releases and integration. Key Skills Data Modelling Python & SQL AWS/Redshift 3–5+ years of experience in data engineering Nice to Have Airflow, Tableau, Power BI, Snowflake, Databricks Data governance/data quality tooling Degree preferred Atlassian/Jira, CI/CD, Terraform Why Join? Career Growth: Clear progression to Tech Lead. Variety: Exposure to multiple squads More ❯

ensure smooth releases and integration. Key Skills Data Modelling Python & SQL AWS/Redshift 3–5+ years of experience in data engineering Nice to Have Airflow, Tableau, Power BI, Snowflake, Databricks Data governance/data quality tooling Degree preferred Atlassian/Jira, CI/CD, Terraform Why Join? Career Growth: Clear progression to Tech Lead. Variety: Exposure to multiple squads 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 ❯

as Pandas, NumPy, PySpark, etc. · 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines · 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions · 3+ years of experience in data development and solutions in highly complex data environments with large data volumes. · Solid understanding of ETL principles More ❯

reporting. Key Experience and Skills Proven experience delivering large-scale data migration or data replatforming projects, ideally moving from SQL to Google Cloud or BigQuery (or equivalent, such as Snowflake or Redshift). Strong understanding of data warehousing concepts, including ETL/ELT, schema design, data modelling, and validation. Experience working with BI tools such as Power BI, Looker, or More ❯

reporting. Key Experience and Skills Proven experience delivering large-scale data migration or data replatforming projects, ideally moving from SQL to Google Cloud or BigQuery (or equivalent, such as Snowflake or Redshift). Strong understanding of data warehousing concepts, including ETL/ELT, schema design, data modelling, and validation. Experience working with BI tools such as Power BI, Looker, or More ❯

role. Experience using SQL and Python to effectively automate data pipelines and other tasks with tools such as dbt, airflow. Strong experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance More ❯

role. Experience using SQL and Python to effectively automate data pipelines and other tasks with tools such as dbt, airflow. Strong experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance More ❯

as: dbt, Airflow/Temporal, Airbyte, Debezium, Kafka Connect. Strong proficiency in SQL and programming languages such as Python, Java, or Scala Expertisewith at least one modern data warehouse (Snowflake,BigQuery, Redshift) Strong understanding of data governance, security, and compliance frameworks (GDPR, ISO 27001, etc.) BonusSkills/Abilities Experience with traditional AI/ML and related cloud offerings (TensorFlow/ More ❯

s degree in Computer Science, Information Technology, or related field. Experience with the following: PowerBI Governance Framework PowerBI vendor and stakeholder management Ideally, you will also have: Experience with Snowflake, Tableau, and other BI tools is a plus. Knowledge of Specialty Insurance domain is advantageous. What we look for You are detail-oriented, proactive, and thrive in a fast-paced More ❯

Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯

Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯