1 to 25 of 338 Remote Permanent Snowflake Jobs

be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. More ❯

Kafka, Apache Flink, or similar technologies. Solid understanding of SQL and experience working with relational databases (e.g., Aurora . Experience with data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake). Experience with data lake and Lakehouse concepts and tools (e.g., Apache Iceberg, Hive, etc). Knowledge of data modeling, ETL processes, and data integration best practices. At least More ❯

About You Strong experience as a Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks More ❯

needs. About You Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

Join to apply for the Data Solutions Architect -GCP role at EXL 2 days ago Be among the first 25 applicants Join to apply for the Data Solutions Architect -GCP role at EXL Get AI-powered advice on this job More ❯

Join to apply for the Data Solutions Architect -GCP role at EXL 2 days ago Be among the first 25 applicants Join to apply for the Data Solutions Architect -GCP role at EXL Get AI-powered advice on this job More ❯

with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

Fluent Python, SQL skills with real life project experience; Experience on orchestration tools such as Airflow and DBT; Experience with one of major analytical DWHs is plus: BigQuery, Redshift, Snowflake, Databricks, Synapse; Work experience with following technologies are noteworthy to mention and might be seen as bonus: AWS (and Data related proprietary technologies), Azure (and Data related proprietary technologies), Adverity More ❯

Senior Data Engineer MUST HAVE SNOWFLAKE, AWS, SNOWPRO CORE Salary - £70-80k with 15% bonus Hybrid working - couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets SnowPro core certification. AWS Skillset Delivery experience Building solutions in … snowflake Insurance experience - advantageous but not necessary MUST HAVE SNOWFLAKE, AWS, SNOWPRO CORE Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services … architecture, ensuring optimal health and efficiency. Skills and Experience: Bachelor's degree or higher in a technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and More ❯

BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. Desirable Experience: Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related technical field. What’s More ❯

on building scalable data solutions. Experience with data pipeline orchestration tools such as Dagster or similar. Familiarity with cloud platforms (e.g. AWS) and their data services (e.g., S3, Redshift, Snowflake). Understanding of data warehousing concepts and experience with modern warehousing solutions. Experience with GitHub Actions (or similar) and implementing CI/CD pipelines for data workflows and version-controlled More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … across several teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of Snowflake More ❯

technical audiences, tailoring communication style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or Master's degree in Computer … Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts; experience gathering requirements, creating technical documentation, and … R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in More ❯

client requirements into solution blueprints and supporting proposal development. Key Responsibilities Architect and oversee the delivery of enterprise-scale data platforms (data lakes, lakehouses, warehouses) using tools like Databricks , Snowflake , Synapse , and Azure Fabric Define and execute cloud migration strategies, leveraging CI/CD pipelines, Terraform, Azure DevOps, and GitHub Support RFP/RFI responses, conduct client workshops, and shape More ❯

client requirements into solution blueprints and supporting proposal development. Key Responsibilities Architect and oversee the delivery of enterprise-scale data platforms (data lakes, lakehouses, warehouses) using tools like Databricks , Snowflake , Synapse , and Azure Fabric Define and execute cloud migration strategies, leveraging CI/CD pipelines, Terraform, Azure DevOps, and GitHub Support RFP/RFI responses, conduct client workshops, and shape More ❯

client requirements into solution blueprints and supporting proposal development. Key Responsibilities Architect and oversee the delivery of enterprise-scale data platforms (data lakes, lakehouses, warehouses) using tools like Databricks , Snowflake , Synapse , and Azure Fabric Define and execute cloud migration strategies, leveraging CI/CD pipelines, Terraform, Azure DevOps, and GitHub Support RFP/RFI responses, conduct client workshops, and shape More ❯

client requirements into solution blueprints and supporting proposal development. Key Responsibilities Architect and oversee the delivery of enterprise-scale data platforms (data lakes, lakehouses, warehouses) using tools like Databricks , Snowflake , Synapse , and Azure Fabric Define and execute cloud migration strategies, leveraging CI/CD pipelines, Terraform, Azure DevOps, and GitHub Support RFP/RFI responses, conduct client workshops, and shape More ❯

weeks ago City Of London, England, United Kingdom £60,000 - £60,000 3 days ago Enterprise Information Technology Architect London, England, United Kingdom 1 week ago Data Architect - AWS & Snowflake Expertise City Of London, England, United Kingdom £500 - £750 1 week ago Business Data Architect – Keying and Linking We’re unlocking community knowledge in a new way. Experts add insights More ❯

weeks ago City Of London, England, United Kingdom £60,000 - £60,000 3 days ago Enterprise Information Technology Architect London, England, United Kingdom 1 week ago Data Architect - AWS & Snowflake Expertise City Of London, England, United Kingdom £500 - £750 1 week ago Business Data Architect – Keying and Linking We’re unlocking community knowledge in a new way. Experts add insights More ❯

Technical Skills: Proven expertise in designing, building, and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through More ❯

Technical Skills: Proven expertise in designing, building, and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through More ❯

Technical Skills: Proven expertise in designing, building, and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through More ❯

Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or … delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and … delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Good understanding of MLOPS Good More ❯