1 to 25 of 283 Remote Snowflake Jobs

ability to work in a multidisciplinary team. Strong presentation, and both verbal and written communication skills. Desirable Experience with other OOP languages. Experience with Snowflake/SQL or other database management systems. Experience with Cloud Platforms (AWS, GCP, Azure). Benefits: Competitive salary. 25 days holiday plus bank holidays. Share More ❯

SQL and NoSQL based DBs such as Postgres, MongoDB, Redis, etc. Cloud experience with any of the major vendors, with AWS preferred Experience with Snowflake/Redshift desirable not essential Experience with C#, C++ (or other traditional high performance OO languages) desirable but not essential What you'll gain (Skills More ❯

SQL and NoSQL based DBs such as Postgres, MongoDB, Redis, etc. Cloud experience with any of the major vendors, with AWS preferred Experience with Snowflake/Redshift desirable not essential Experience with C#, C++ (or other traditional high performance OO languages) desirable but not essential What you'll gain (Skills More ❯

of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one More ❯

Data Engineer (Python, Data Modelling, ETL/ELT, Apache Airflow, DBT, AWS) Enterprise-scale tech firm Up to £70,000 plus benefits - FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes More ❯

in developing and optimising ETL/ELT pipelines and using DBT for data transformation and modelling. Knowledge of data modelling techniques, including star and snowflake schemas, for efficient data analysis. Familiarity with cloud platforms such as AWS or GCP, including services like Databricks, Redshift, BigQuery, and Snowflake. Strong Python skills More ❯

Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is More ❯

Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is More ❯

AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager. Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks. If you are interested in this position please apply directly on Linkedin with an updated copy of your CV. More ❯

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 More ❯

with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so More ❯

ETL/ELT workflows. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience with data tools: Hadoop, Spark, Kafka, etc. Code versioning (Github integration and automation). Experience with scripting languages such More ❯

focused role, leveraging your strong background in Java, Python, workflow automation solutions (ex: Workato), web services (REST/OpenAPI), messaging frameworks (Kafka), data platforms (Snowflake), cloud technologies (AWS/GCP), and containerization (Kubernetes/Docker) to build innovative solutions. You will use your strong knowledge of B2B Marketing business domains More ❯

tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

API Gateway, ECS) Experience designing and developing microservices with clean domain boundaries Good working knowledge of SQL and cloud databases (Aurora/Postgres, DynamoDB, Snowflake etc.) Familiarity with IaC tooling such as AWS CDK, CloudFormation or Terraform Experience working in Agile/Kanban teams with strong TDD principles CI/ More ❯

API Gateway, ECS) Experience designing and developing microservices with clean domain boundaries Good working knowledge of SQL and cloud databases (Aurora/Postgres, DynamoDB, Snowflake etc.) Familiarity with IaC tooling such as AWS CDK, CloudFormation or Terraform Experience working in Agile/Kanban teams with strong TDD principles CI/ More ❯

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 More ❯

data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients business needs into technical solutions Ability to attend & contribute to keynote talks & events Customer engagement and relationship management skills Understanding of More ❯

data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients business needs into technical solutions Ability to attend & contribute to keynote talks & events Customer engagement and relationship management skills Understanding of More ❯

data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients business needs into technical solutions Ability to attend & contribute to keynote talks & events Customer engagement and relationship management skills Understanding of More ❯

large volumes of structured and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for More ❯

most or all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and More ❯

career. The difference you'll make: Designing, building, and maintaining our AWS Data Estate. This includes S3 lake formation, Iceburg and extends to our Snowflake platform. Designing AWS-based services and capabilities adopting appropriate modelling techniques following agreed architectures, design standards, patterns, and methodology. Leading AWS-based service design activities More ❯

and Dimensional (Kimball) data modelling • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake) • Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database • MongoDB • Cloud Data Technologies (Mainly Azure More ❯