301 to 325 of 748 Remote Snowflake Jobs

be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ More ❯

be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ More ❯

be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ More ❯

agile ways of working. 12 + yrs enterprise-data architecture in regulated financial-services (wealth/pensions a plus). Hands-on design of lakehouse or cloud-data-platform (Snowflake, BigQuery, Redshift). Proven lineage & quality frameworks (Collibra, Atlan, Informatica, or equivalent). London HQ Hybrid 2-3 days on-site. More ❯

effectively (git, bitbucket) The terminal is your second home! Demonstrable experience of building data pipelines Clear ability to prioritise tasks and drive them through to completion Nice to have Snowflake Python experience Terraform CI/CD More ❯

effectively (git, bitbucket) The terminal is your second home! Demonstrable experience of building data pipelines Clear ability to prioritise tasks and drive them through to completion Nice to have Snowflake Python experience Terraform CI/CD #J-18808-Ljbffr More ❯

or Senior Data Solutions Architect Expertise in Kafka/Confluent , Databricks , Unity Catalog , and modern data lake/lakehouse architectures Strong grasp of cloud data platforms (AWS, Azure, GCP, Snowflake) Understanding of Data Mesh , Data Fabric , and data product-centric approaches Familiarity with Apache Spark , Python , and ETL/ELT pipelines Strong knowledge of data governance, lifecycle management, and compliance More ❯

integrating and optimizing data from various sources. Desirable: Experience with AWS, FiveTran, DBT, and Snowflake. Leadership or management experience. Degree in Computer Science or related field. Certifications in AWS, Snowflake, or similar technologies. The client offers a salary of £80,000 - £90,000 (dependent on experience) plus benefits, including a bonus scheme. They are committed to diversity and providing opportunities More ❯

delivery expertise, including sprint planning, backlog management, and stakeholder engagement Experience working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide decisions Excellent communication, planning, and More ❯

Data Studio, Tableau, AWS QuickSight) Experience on Ecommerce and digital marketing metrics Expertise in using scalable analytics techniques (e.g., PySpark, Dask, Modin, Koalas) and MPP databases (e.g., BigQuery, Redshift, Snowflake) for complex data assembly and transformation What's in it for you? Work with tons of data, to which you will have full access Work closely with all functions within More ❯

data platforms. Your Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. Practical knowledge of distributed processing frameworks, particularly More ❯

data platforms. Your Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. Practical knowledge of distributed processing frameworks, particularly More ❯

data platforms. Your Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. Practical knowledge of distributed processing frameworks, particularly More ❯

and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so More ❯

and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so More ❯

and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so More ❯

automating manual processes. Required Qualifications & Skills Excellent proficiency in SQL is essential. Experience as an Analytics Engineer, Data Engineer, or similar roles. Experience with data warehousing technologies such as Snowflake, Databricks, and/or dbt. Experience in data pipeline and model development. Ability to build efficient, robust, and scalable solutions from requirements. Knowledge of orchestration and version control tools like More ❯

our data stack. Qualifications What We’re Looking For Hands-on experience managing and optimizing data platforms in cloud environments ( AWS, Azure, or GCP ). Strong experience with dbt, Snowflake, and Python . Ability to quickly learn and adapt to new technologies . Expertise in Infrastructure-as-Code (Terraform, CloudFormation) and CI/CD standard processes. Familiarity with monitoring and More ❯

NBA, Formula 1, and Olympic events. Key Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including CI/CD, TDD, and More ❯

Automate manual processes where possible. Required Qualifications & Skills Proficiency in SQL is essential. Experience as an Analytics Engineer, Data Engineer, or similar. Experience with data warehousing technologies such as Snowflake, Databricks, and/or dbt. Experience in data pipeline and data model development. Ability to build efficient, robust, scalable solutions from requirements. Knowledge of orchestration and version control tools like More ❯

secure, scalable infrastructure designs. Build and maintain Kubernetes clusters, Terraform IaC, CI/CD pipelines , and observability tooling (Prometheus, Grafana). Optimise real‐time data pipelines using Apache Kafka, Snowflake, and Postgres —ensuring low‐latency, high‐reliability ingestion from IoT sensors and EHR integrations. Collaborate with our Security & Compliance team to uphold SOC 2, ISO 27001, HIPAA/NHS DSPT More ❯

secure, scalable infrastructure designs. Build and maintain Kubernetes clusters, Terraform IaC, CI/CD pipelines , and observability tooling (Prometheus, Grafana). Optimise real‐time data pipelines using Apache Kafka, Snowflake, and Postgres —ensuring low‐latency, high‐reliability ingestion from IoT sensors and EHR integrations. Collaborate with our Security & Compliance team to uphold SOC 2, ISO 27001, HIPAA/NHS DSPT More ❯

processes. Required Qualifications & Skills Excellent proficiency in SQL is essential. Experience as an Analytics Engineer, Data Engineer, Analytics Insight, or similar roles. Experience with data warehousing technologies such as Snowflake, Databricks, and/or dbt. Experience in data pipeline and data model development. Ability to build efficient, robust, and scalable solutions based on requirements. Knowledge of orchestration and version control More ❯

and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so More ❯

reports, and self-service analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud, Power BI, or Tableau, as well as the AI, ML, and NL More ❯