26 to 50 of 334 DemandTrendPermanent Snowflake Jobs

problem solving skills and ability to explain technical ideas to non technical audiences. Experience with real time data pipelines, event driven architectures (Kafka/Kinesis), or modern data warehouses (Snowflake, Redshift, BigQuery) is a plus. Our Benefits: Paid Vacation Days Health insurance Commuter benefit Employee Stock Purchase Plan (ESPP) Mental Health & Family Forming Benefits Continuing education and corridor travel benefits More ❯

in Data Science, Business Analytics, or related field. Experience working on strategic, cross-functional data initiatives with C-level stakeholders. Familiarity with cloud data platforms (e.g., Azure, AWS, GCP, Snowflake). Knowledge of data governance standards, regulatory compliance, and metadata management. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Certification in data science, analytics, or More ❯

in Data Science, Business Analytics, or related field. Experience working on strategic, cross-functional data initiatives with C-level stakeholders. Familiarity with cloud data platforms (e.g., Azure, AWS, GCP, Snowflake). Knowledge of data governance standards, regulatory compliance, and metadata management. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Certification in data science, analytics, or More ❯

in Data Science, Business Analytics, or related field. Experience working on strategic, cross-functional data initiatives with C-level stakeholders. Familiarity with cloud data platforms (e.g., Azure, AWS, GCP, Snowflake). Knowledge of data governance standards, regulatory compliance, and metadata management. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Certification in data science, analytics, or More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). 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 ❯

testing including unit, performance, stress, and security testing.Experience working in an agile team.Experience working in a highly regulated industry and with highly sensitive data.Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.Experience in data science using R, Stata, or Python.Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket.Understanding of clinical trials, GCP, and GxP.What More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

scalable, efficient, and secure data architecture. Experience with data warehousing, data lakes, ETL processes. Proficiency in logical and physical data modelling. Knowledge of cloud platforms (AWS, Azure, Google Cloud, Snowflake). Excellent communication and stakeholder management skills. Proactive approach to emerging technologies and Microsoft tech stack. More ❯

working in BFSI or enterprise-scale environments is a plus. Preferred: Exposure to cloud platforms (AWS, Azure, GCP) and their data services. Knowledge of Big Data platforms (Hadoop, Spark, Snowflake, Databricks). Familiarity with data governance and data catalog tools. More ❯

working in BFSI or enterprise-scale environments is a plus. Preferred: Exposure to cloud platforms (AWS, Azure, GCP) and their data services. Knowledge of Big Data platforms (Hadoop, Spark, Snowflake, Databricks). Familiarity with data governance and data catalog tools. More ❯

BI and self-serve analytics What You’ll Need 4+ years in a BI development role Strong SQL and Power BI skills Experience with SSIS, SSRS, SSAS Familiarity with Snowflake or similar cloud data platforms Comfortable with scripting (e.g. Python) and Visual Studio Excellent problem-solving and communication skills Why Join: 💰Salary: £45,000-£50,000 ⭐Work with a passionate More ❯

data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience operating in More ❯

data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience operating in More ❯

Visualise insights via tools like Power BI or Tableau Support integration testing and third-party specifications What you'll bring: Strong background in data architecture and cloud platforms (e.g. Snowflake, Databricks) Cloud experience with AWS, Azure or GCP Excellent SQL and data modelling skills (data lakes, warehousing, OLTP/OLAP) Experience with access control, data migration and data governance Proficient 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 ❯

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 ❯