126 to 150 of 761 Remote Snowflake Jobs

Cloud Infrastructure Hands-on experience with cloud data platforms (AWS/GCP/Azure) Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms) Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes Knowledge of containerization (Docker/Kubernetes) and infrastructure as code Preferred Experience Experience with real-time data processing and analytics Background in building developer tools More ❯

mentor team members. QUALIFICATIONS 5+ years of experience in data engineering, ideally in high-scale or distributed environments. Proven expertise in data technologies such as Spark, Airflow, DBT, Kafka, Snowflake, and/or Databricks. Hands-on experience applying DevOps principles to data pipelines: CI/CD, version control, monitoring, and testing. Strong ability to design and implement data models for More ❯

s, or PhD in Computer Science, Mathematics, or a related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as Databricks, Snowflake, AWS, Azure, or DBT Understanding of observability, monitoring, and logging in GCP GCP Professional Data Engineer certification (or similar) What’s on Offer Competitive salary of £80,000 + bonus More ❯

pipelines in Spark (PySpark preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure DevOps or similar) Experience working in an More ❯

Proficiency with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. 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 ❯

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 ❯

s, or PhD in Computer Science, Mathematics, or a related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as Databricks, Snowflake, AWS, Azure, or DBT Understanding of observability, monitoring, and logging in GCP GCP Professional Data Engineer certification (or similar) What’s on Offer Competitive salary of £80,000 + bonus More ❯

Proficiency with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. 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 ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau, Power BI). COMPENSATION & BENEFITS: Competitive salary + More ❯

first mindset and experience in agile environments (Scrum or Kanban). Professional working proficiency in English (our internal and client-facing working language). Nice to Have Experience with Snowflake or similar cloud data warehouses. Knowledge of data lineage tools and frameworks. Infrastructure automation using Terraform, Bash, or PowerShell. Exposure to data modeling techniques like Data Vault or dimensional modeling. More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

tolerant data pipelines Solid development experience within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery processes Hands on More ❯

for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes) Proven success in enhancing developer experience that reduces friction in coding, building and deploying APIs More ❯

for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes) Proven success in enhancing developer experience that reduces friction in coding, building and deploying APIs More ❯

data-related issues Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Desirable: Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps) Experience with More ❯

complex data-related issues Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps) Experience with More ❯

experience in advanced data modelling and cloud data warehouses, with a proven track record of designing and implementing complex, performant data models in enterprise-grade cloud environments (e.g., BigQuery, Snowflake, Redshift), consistently optimising for scale and cost-efficiency. Demonstrate mastery of SQL and dbt, exhibiting expertise in advanced SQL techniques and extensive experience in developing, optimising, and troubleshooting data transformations More ❯

requirements and available budget. Some of the products and platforms that you are likely to come across at Tasman are: AWS, GCP and Azure cloud environments; Airflow and Prefect; Snowflake, BigQuery, Athena, and Redshift; Airbyte, Stitch, Fivetran, and Meltano; dbt (both Cloud and Core); Looker, Metabase, Tableau and Hollistics; Docker and Kubernetes; Snowplow, Segment, Rudderstack, and mParticle; Metaplane and other More ❯

3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Version 1 Job Description As a Senior Oracle Fusion Data Intelligence (FDI) Consultant , you More ❯

Explore our latest thought leadership, ideas, and insights on the issues that are shaping the future of business and society. Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future. Discover our portfolio More ❯

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 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 (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers … 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 ❯

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 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 (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers … 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 ❯

Social network you want to login/join with: AWS/Snowflake Specialist, london (city of london) col-narrow-left Client: i3 Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: 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 AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous but not necessary Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data … 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 ❯