276 to 300 of 752 Remote Snowflake Jobs

consistency, and reliability across divisional systems and our reporting estate Develop high-performance data solutions that produce tangible business value and further enable our data-driven approach using dbt, Snowflake, and Power BI Collaborate with business stakeholders to drive commercial outcomes through data, showcasing a willingness to provide fine-grained reporting to any area of the business What we're … role you need... To know how to do this – you have 4+ years prior experience in a data analytics role with strong data modelling skills and exposure to dbt, Snowflake (or similar cloud data warehouse) and Power BI (or another Visualisation tool) To be self-motivated – you’re resilient and a proactive individual with ability to work independently and drive More ❯

remote working and a salary between £50,000 and £70,000. As part of the data engineering team, you’ll design and deliver scalable data products using technologies like Snowflake, Power BI, Python, and SQL. Your work will enable self-service analytics and support data governance across the business. Key Responsibilities: Develop robust ETL/ELT pipelines and dimensional models More ❯

integration processes Ensure data quality, governance , and integrity Apply best practices for data security and compliance Required Experience & Skills: Strong hands-on experience with AWS cloud services Proficiency in Snowflake , including data warehousing concepts Solid knowledge of Python for data engineering tasks Expertise in SQL for data manipulation and querying Project Details: Contract: Full-time Location: Hybrid - 3 days/ More ❯

consistency, and reliability across divisional systems and our reporting estate Develop high-performance data solutions that produce tangible business value and further enable our data-driven approach using dbt, Snowflake, and Power BI Collaborate with business stakeholders to drive commercial outcomes through data, showcasing a willingness to provide fine-grained reporting to any area of the business What We're … role you need... To know how to do this - you have 4+ years prior experience in a data analytics role with strong data modelling skills and exposure to dbt, Snowflake (or similar cloud data warehouse) and Power BI (or another Visualisation tool) To be self-motivated - you're resilient and a proactive individual with ability to work independently and drive 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 ❯

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 ❯

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 ❯

Expertise: A solid understanding of data warehousing concepts, ETL/ELT processes, data modeling, and various database technologies (e.g., SQL, and cloud data platforms like AWS Redshift, Google BigQuery, Snowflake). Strong Technical Acumen: The ability to grasp complex technical details and articulate them clearly to non-technical stakeholders. While not a hands-on coding role, a firm understanding of 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 ❯

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 ❯

along with demonstrated knowledge of modern data engineering processes, concepts and life-cycle Experience using Python for data manipulation and transformation Experience using modern data platforms like Databricks or Snowflake to do the above Experience working with large-scale, event-driven data sets Love gaming and is interested in supporting the game development process Passionate about helping enable teams to 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 ❯