1 to 25 of 790 Remote Permanent Snowflake Jobs

years in a Principal or Lead role.Proven experience designing and delivering enterprise data strategies.Exceptional communication and stakeholder management skills.Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift).Hands-on experience with Apache Airflow (or similar orchestration tools).Strong proficiency in Python and SQL for pipeline development.Deep understanding of data architecture More ❯

or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding More ❯

or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding More ❯

or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding More ❯

or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding More ❯

or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding More ❯

Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation) Strong understanding of data privacy, data sharing regulations (GDPR, CCPA), and More ❯

Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation) Strong understanding of data privacy, data sharing regulations (GDPR, CCPA), and More ❯

and practices The "Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance More ❯

. Solid experience with ETL tools (e.g., Apache Airflow, dbt, Talend). Proficiency with SQL and relational/non-relational databases (e.g., PostgreSQL, BigQuery, Snowflake, MongoDB). Experience working with cloud environments and data services (AWS Glue, Azure Data Factory, GCP Dataflow, etc.). Understanding of data governance, data quality More ❯

with the ability to resolve complex data-related issues. Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-based database services (Snowflake). Knowledge of data warehousing, orchestration and pipeline technologies (Apache Airflow/Kafka, Azure DataFactory etc.). Experience with DBT for modelling Server administration and More ❯

with the ability to resolve complex data-related issues. Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-based database services (Snowflake). Knowledge of data warehousing, orchestration and pipeline technologies (Apache Airflow/Kafka, Azure DataFactory etc.). Experience with DBT for modelling Server administration and More ❯

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 More ❯

London, England, United Kingdom 1 week ago Data Architect - Insurance/London Market Insurance London, England, United Kingdom 6 days ago Data Architect with Snowflake & Azure (Data Architect I) London, England, United Kingdom 2 days ago Horsham, England, United Kingdom 4 weeks ago Data & AI Cloud Architect, AWS Professional Services More ❯

This role is 100% remote and sits Outside of IR35. Must have technologies: Experience in an ETL toolset (Talend, Pentaho, SAS DI, Informatica, etc.) Snowflake Experience in a Database (Oracle, RDS, Redshift, MySQL, Hadoop, Postgres, etc.) Experience in data modelling (Data Warehouse, Marts) Job Scheduling toolset (Job Scheduler, TWS, etc. More ❯

data modeling, and business intelligence best practices. Knowledge of Agile, DevOps, Git, APIs, microservices, and data pipeline development . Familiarity with Spark, Kafka, or Snowflake is a plus. Desirable Certifications: Microsoft Certified: Fabric Analytics Engineer Associate Why Join Us? Competitive salary up to £70,000 per year Opportunities for growth 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 ❯

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 ❯

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 ❯

from those with transferable experience. You’ll ideally bring: Experience building ETL pipelines in Python. Familiarity with analytical data warehouses (e.g. Redshift preferred, or Snowflake/BigQuery). Understanding of orchestration tools such as AWS Step Functions, Airflow, or AWS Batch. Experience working with Agile methodologies. Awareness of automated testing More ❯

data pipelines and infrastructure to ensure efficient data flow across the business. Key Responsibilities Develop, support and optimise robust data solutions using tools like Snowflake, dbt, Fivetran, and Azure Cloud services Collaborate with cross-functional teams to translate business needs into actionable data architecture Design and manage data pipelines and 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 ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

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 More ❯

resources. Knowledge, skills and experience Essential: Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/ More ❯