176 to 200 of 761 Remote Snowflake Jobs

working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to £110,000 (depending More ❯

working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to £110,000 (depending More ❯

working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to £110,000 (depending More ❯

pipelines and DevOps practices. Proficiency in Python and Java . Familiarity with web development best practices and design patterns. Knowledge of cloud platforms (preferably Azure) and cloud data warehouses (Snowflake is a plus). Understanding of microservices architecture and modern data analytics stacks. Bachelor’s degree in Computer Science, Software Engineering, or a related field. 5+ years of experience in More ❯

driven architectures (Kafka, Confluent). Expertise in architecting data lakes/lakehouses with platforms such as Databricks and Unity Catalog. Proficiency in cloud-based data architecture (AWS, Azure, GCP, Snowflake). Understanding of Data Mesh, Data Fabric, and product-led data strategies. Technical Knowledge: Familiarity with big data technologies (Apache Spark, Hadoop). Knowledge of programming languages such as Python More ❯

technical stakeholders A collaborative mindset and genuine curiosity around solving data challenges Tech Stack Snapshot Python, SQL, Airflow AWS, Azure, & GCP depending on the project Bonus: Experience with dbt, Snowflake, or Looker would be amazing, as this business use these tools. If you're ready to step into a role where you can lead, innovate, and make a tangible difference More ❯

working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to £110,000 (depending More ❯

ETL processes, and cloud-based data storage solutions like AWS and Azure. Expertise in data modelling methodologies (Kimball, DataVault) is essential, as is hands-on experience with RDBMS (preferably Snowflake or SQL Server) and large-scale data processing through ETL pipelines. Familiarity with Git or MS Visual Studio TFS, data orchestration tools like ADF, AirByte, Airflow, or Luigi, and a More ❯

ETL processes, and cloud-based data solutions, with a particular focus on advanced SQL for data transformation and optimisation. The ideal candidate will have hands-on experience working with Snowflake, Azure Data Factory, and Power BI, with proven ability to design and maintain semantic data models that support scalable analytics. Experience working with consumer goods or retail data models is More ❯

Modeling data for a civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong More ❯

Modeling data for a civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong More ❯

Gen AI. Your role will include: Enterprise Architecture & Delivery: Spearhead design and implementation of scalable data ecosystems—spanning data lakes, lakehouses, and warehouses—using platforms such as GCP, BigQuery, Snowflake, Synapse, or Microsoft Fabric. Cloud Transformation Strategy: Lead cloud adoption and modernization initiatives across GCP, utilizing infrastructure-as-code (e.g., Terraform), CI/CD automation (e.g., Azure DevOps, GitHub), and More ❯

AI Foundry, and other scalable development tools. Build reporting solutions leveraging to SharePoint and Power BI for operational and strategic decision-making. Extract and utilize historical datasets from a Snowflake data warehouse to power analytics and automation. Ensure all solutions are high-performing, low-latency, and compatible with Azure based Windows virtual desktop environments. Implement QA and UAT frameworks that More ❯

of hands on experience deploying production quality code with proficiency in Python for data processing and related packages. Data Infrastructure Knowledge : Deep understanding of SQL and analytical data warehouses (Snowflake, Redshift preferred) with proven experience implementing ETL/ELT best practices at scale. Pipeline Management : Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for More ❯

building reporting governance framework and driving the adoption within the organisation is highly beneficial Experience of SAFe working practices Experience in consuming data using data interfaces such as APIs, snowflake , Databases, various file format types. Understanding of Data Quality approaches such as shift left What can we offer? ️ 23 days of Annual Leave plus the 24th and 31st of December More ❯

adoption. Support the strategic direction of UKMU IT with a proactive and enthusiastic approach. Key Skills/Qualifications needed for this role: Proficient in Azure Data Factory, Azure Synapse, Snowflake, and dynamic SQL for metadata-driven frameworks; SSIS experience is a plus. Certifications such as DP 203 and AZ 900 or similar certification/experience. Skilled in monitoring and optimising More ❯

DTC brands and services internationally. We are looking to hire an inquisitive, solutions-focused Analytics Engineer to join our team. You’ll work with the latest cloud technologies (AWS, Snowflake, dbt, Airflow, etc.), building exceptional data products across the full stack from ingestion through to visualisations. You’ll also have the opportunity to work on exciting machine learning projects, training More ❯

with Python, SQL, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about More ❯

Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about More ❯

practical experience At least 3-4 years of hands-on experience in data engineering roles Proficiency in SQL and Python programming for data manipulation and pipeline development Experience with Snowflake, BigQuery, Databricks, or equivalent cloud data warehousing platforms Familiarity with data visualization tools (e.g., PowerBI, Tableau) Experience with modern data pipeline tools such as DBT, Airflow, or Composer Understanding of More ❯

The ideal candidate will demonstrate 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 data modelling. Expertise in Power More ❯

A passion for designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands-on experience in all phases of data More ❯

A passion for designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands-on experience in all phases of data More ❯

enable efficient and seamless code deployment. Manage and maintain a fully separated staging environment for testing and development. Monitor AWS infrastructure for cost efficiency, identifying and implementing improvements. Optimize Snowflake ETL pipelines to reduce costs while maintaining performance and reliability. Manage GPT pipelines in Azure to ensure performance and cost-efficiency. Develop and maintain data pipelines for integrating external electronic More ❯

data mesh, knowledge graphs, data standards and ontologies Experience with data management on cloud platforms and real-time streaming data platforms such as Kafka Demonstrable experience with Collibra, Databricks, Snowflake, other data management tools Experienced in setting and leading Data Management/Governance Councils, Committees and Working Groups, and building reports for multiple levels of management Demonstrable experience in defining More ❯