26 to 50 of 356 Remote Snowflake Jobs

teams to resolve them. Strong analytical mindset and attention to detail. Clear, concise communicator able to present technical findings simply. Desirable: Experience testing in big data environments using Databricks, Snowflake, or Redshift. Knowledge of data governance and lineage tracking tools. Exposure to data performance and load testing. Experience in an Agile delivery environment. More ❯

Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯

Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and document scalable, reliable data models Comfortable gathering business requirements and translating More ❯

/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Advocate for positive personal participation in workshops, and demonstrate critical thinking on key topics Previous experience with large, Enterprise scale Data More ❯

/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Advocate for positive personal participation in workshops, and demonstrate critical thinking on key topics Previous experience with large, Enterprise scale Data More ❯

/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Advocate for positive personal participation in workshops, and demonstrate critical thinking on key topics Previous experience with large, Enterprise scale Data More ❯

position management. Leverage AWS cloud technologies (including ECS, Lambda, S3, and CloudWatch) to deploy scalable, high-availability systems for data processing and analytics. Integrate and optimize data pipelines with Snowflake, enabling efficient access to large-scale market and transactional data. Build and deploy cloud-native systems that seamlessly integrate with front-office platforms—powering real-time analytics, visualization, and decision More ❯

position management. Leverage AWS cloud technologies (including ECS, Lambda, S3, and CloudWatch) to deploy scalable, high-availability systems for data processing and analytics. Integrate and optimize data pipelines with Snowflake, enabling efficient access to large-scale market and transactional data. Build and deploy cloud-native systems that seamlessly integrate with front-office platforms—powering real-time analytics, visualization, and decision More ❯

Culture builder, driving continuous improvement and operational excellence. Deep expertise in data compliance frameworks, cost management, and platform optimisation. Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform. Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins). Proven track record in data modelling, batch/real-time More ❯

Culture builder, driving continuous improvement and operational excellence. Deep expertise in data compliance frameworks, cost management, and platform optimisation. Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform. Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins). Proven track record in data modelling, batch/real-time More ❯

and implement BI solutions Ensure data quality, system reliability, and performance Support production environments and month-end processing Communicate complex insights to technical and non-technical audiences Tech Stack: Snowflake Python Fivetran Azure/AWS Salesforce CRM (preferred) Ideal Candidate: 5+ years in BI, Data Analytics, or Data Engineering Experience supporting Ops and Customer Service teams Strong stakeholder communication and More ❯

and implement BI solutions Ensure data quality, system reliability, and performance Support production environments and month-end processing Communicate complex insights to technical and non-technical audiences Tech Stack: Snowflake Python Fivetran Azure/AWS Salesforce CRM (preferred) Ideal Candidate: 5+ years in BI, Data Analytics, or Data Engineering Experience supporting Ops and Customer Service teams Strong stakeholder communication and 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 ❯

implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable More ❯

implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable More ❯

implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT , Airbyte , or APIs is desirable. Strong communicator who can link data initiatives to commercial outcomes. Enjoys mentoring, providing direction, and developing others More ❯

quality, governance, and compliance processes Skills & experience required • Proven background leading data engineering teams or projects in a technology-driven business • Expert knowledge of modern cloud data platforms (Databricks, Snowflake, ideally AWS) • Advanced Python programming skills and fluency with the wider Python data toolkit • Strong capability with SQL, Spark, Airflow, Terraform, and workflow orchestration tools • Solid understanding of CICD practices More ❯

evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT , Airbyte , or APIs is desirable. Strong communicator who can link data initiatives to commercial outcomes. Enjoys mentoring, providing direction, and developing others More ❯

evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT , Airbyte , or APIs is desirable. Strong communicator who can link data initiatives to commercial outcomes. Enjoys mentoring, providing direction, and developing others More ❯

R for scripting, predictive and descriptive modelling, and data visualization Experience with Tableau; including optimizing published work in tableau server Familiarity with data warehousing tools Databricks and/or Snowflake Experience in Fraud, DLP or digital commerce analytics Background with analytics tools (Spark, Git, Jupyter) and cloud computing platforms (AWS preferred) WHAT YOU'LL WORK ON This role will provide 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 ❯