13 of 13 Permanent Snowflake Jobs in Central London

Engineer or within a similar role. Strong experience with Python or PySpark . Experience with cloud data platforms such as Microsoft Fabric, Databricks or Snowflake . Knowledge of SQL and data transformation techniques. Experience building and maintaining data pipelines. Previous experience working within the construction industry . Excellent analytical, troubleshooting ...

solutions. Key Responsibilities: Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. ...

solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver ...

workflows in production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete or evolving datasets ...

. Understanding of automation platforms (e.g., Zendesk Bot, Intercom Fin, Ada, Forethought, Decagon, or Zapier). Familiarity with CRM or data systems (Salesforce, HubSpot, Snowflake, Looker, Power BI, Tableau). Exposure to incident management programs (PagerDuty, StatusPage, Incident.io). Basic understanding of APIs, logs, or product usage analytics ...

driven experiences). Having shipped something agentic to production, or worked alongside engineers building AI or ML systems. Comfort with cloud-native data warehousing (Snowflake or comparable) and the analytics or AI data layer. Experience working in a distributed team across distant time zones, where the core engineering team ...

Engineering, Architecture, Data Science and Governance teams. Comfortable operating in complex, regulated environments. Nice to Have Experience with modern cloud data platforms such as Snowflake, BigQuery or Redshift. Exposure to AI/ML products, features or model governance. Experience managing data product SLAs and support models. Understanding of modern data ...

Data Analyst – Fund Management | London | Competitive + Bonus SQL | Python | Data Visualisation (Power BI/Tableau) | Data Warehousing (Snowflake/Databricks) Our client, a leading US private markets fund manager, is looking for a Data Analyst to join its London office and play a central role in building modern data … data infrastructure, analytics, and reporting that drive client-facing and sales decision-making. Day to day you will: Write and optimise SQL against a Snowflake cloud data warehouse, working across multiple source systems (CRM, sales, client, product, and flows data) Use Python for analysis, automation of data retrieval and transformation ...

platform, with the ability to challenge and guide technical solutions Broader understanding of cloud data ecosystems, with knowledge of platforms such as Synapse or Snowflake being beneficial Comfortable working across data engineering, analytics, and business teams Confident communicator who can influence stakeholders and handle complex or challenging conversations Experience delivering ...

order events. Experience with distributed processing (Spark, Polars, Dask, Ray or similar). Experience with Kafka or similar streaming technologies. Familiarity with PostgreSQL, ClickHouse, Snowflake, Databricks, kdb+ or similar. Docker, Linux, Git and CI/CD experience. Highly Desirable Familiarity with OneTick, PostgreSQL, ClickHouse, Snowflake, Databricks, kdb+ or similar. Order ...

insurance ecosystem Architect and optimize data solutions using PySpark and Datamart (GOS – Oracle as a Service). Develop and maintain data platforms leveraging Snowflake and Azure services (Blob Storage, Data Lake, Synapse Analytics, Databricks). Integrate serverless components such as Azure Functions for automation and orchestration. Ensure system monitoring … best practices. Requirements: Proven experience in data engineering and architecture with strong expertise in ETL/ELT processes. Hands-on experience with PySpark, Snowflake, and Oracle-based data solutions. Proficiency in Azure ecosystem: Blob Storage, Data Lake, Synapse Analytics, Databricks, Functions, and Monitor. Strong understanding of data modeling, migration strategies ...

actionable outcomes for marketing and business stakeholders Support campaign and channel performance analysis across multiple markets and acquisition streams Write and optimise SQL queries (Snowflake environment) to extract, transform, and validate data Ensure accuracy, consistency, and integrity of reporting across all dashboards and datasets Work closely with stakeholders to understand … About You 3–5 years’ experience in a BI, Data Analyst, or similar analytical role Strong technical skills in Power BI, SQL, and Excel (Snowflake experience beneficial) Experience working with large datasets in a high-volume, fast-paced, performance-driven environment Strong analytical mindset with the ability to move from ...

plays a pivotal part in shaping and governing the organisations cloud financial management practicesensuring cost efficiency, value realisation, and consuming healthily across Azure and Snowflake environments. A key focus of the role is leading the FinOps optimisation activities, embedding governance frameworks, and overseeing AKS cost observability using tooling such … enable a cost-efficient, data-driven cloud ecosystem. Accountabilities Lead the organisations FinOps optimisation agenda across cloud and data platforms, with a focus on Snowflake consumption, Kubecost insights, and cloud-native cost efficiency. Analyse cloud and Snowflake spend, identify trends and optimisation opportunities, and provide clear financial and technical recommendations. ...