51 to 75 of 259 Permanent Snowflake Jobs

data engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process More ❯

EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation using MongoDB or Cassandra Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake Experience with UNIX or Linux, including basic commands and Shell scripting Experience with Agile engineering practices TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to More ❯

pairing or working sessions with other engineers across the organisation to help smooth the path to adoption Learn and explore new tools and cloud native technologies (e.g. AWS, GCP, Snowflake, Databricks) under the guidance of senior team members Key Skills and Experience required - A strong academic background in Computer Science, Engineering, Data Science, or a related technical discipline Proficiency in More ❯

you to work predominantly remote, coming into the office once every 4-6 weeks.Essential skills include experience with: Data Warehousing At least one of the following: Microsoft Fabric, Synapse, Snowflake or AWS Python SQL Advantageous skills include experience with: Power BI Microsoft Fabric Leadership European language skills This is an excellent opportunity for the successful applicant to gain exposure to More ❯

visualizations using Tableau, Microsoft Power BI or Qlikview.; Structured query language (SQL) for querying databases and managing data; SQL and non-SQL databases; Data warehousing concepts and tools including Snowflake or MS SQL Server; Data manipulation and analysis using Python or R; and Financial products and the global markets industry. Job Code: . QUALIFIED APPLICANTS: Apply at and click on More ❯

Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You'll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast More ❯

4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid working. More ❯

4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid working. More ❯

You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching CRM More ❯

You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching CRM More ❯

You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching CRM More ❯

You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching CRM More ❯

You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching CRM More ❯

a small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and More ❯

behavior, establish data correlations and identify high-risk patterns associated with regulatory compliance and support strategic initiatives; Manage relational data models using SQL queries in database platforms such as Snowflake and Couchbase for key results (OKRs); Develop visually engaging dashboards in Tableau and Power BI to present financial metrics, trends, and insights for data-driven decision making in enterprise resource More ❯

maintain and enhance code ensuring all IT SDLC processes are documented and practiced, working closely with multiple technology teams across the enterprise. Key technologies include AWS EC2/Glue, Snowflake, Python and IBM DataStage. Responsibilities: Design, develop, enhance and maintain code following best practices and standards. Translate requirements and data mapping documents to a technical design. Create and execute unit 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

of experience in Data/ML engineering Expert Experience with ETL, data labeling, and data preparation 8+ years experience with at least 2 of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka Expert experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+ Expert experience designing, implementing, and maintaining data architecture and services More ❯

Role As a Senior Software Engineer (Data), you'll help shape and scale our data infrastructure, making analytics faster, more reliable, and cost-efficient. You'll work with AWS, Snowflake, Python, and Terraform, building tooling, and onboarding new data sources. You'll collaborate closely with teams across the business, ensuring our platform is secure, scalable, and easy to use. Our More ❯

team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard More ❯

team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯