17 of 17 Snowflake Jobs in the City of London

Expectations, dbt tests, Elementary, Soda, or Deequ. Familiarity with AWS data services ( S3, Athena, Glue ) Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery ) A pragmatic problem solver who can balance technical excellence with business needs Able to architect custom AI solutions and smart automated systems that ...

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 ...

communication skills A genuine passion for data and improving how organisations use it Experience developing or implementing data governance frameworks Experience with Azure and Snowflake would be highly beneficial Experience within the London Market, insurance or financial services is advantageous, although candidates from other regulated environments will also be considered ...

including SLIs, SLOs and service reliability Strong communication skills and the ability to engage technical and business stakeholders Desirable Experience Azure AI Services Datadog Snowflake GitHub Enterprise Zero Trust Architecture FinOps/Cloud Cost Optimisation Why Join? This is an opportunity to influence the future direction of a growing Azure ...

company (e.g. IQVIA, Optum, or similar) is a strong plus, though not essential. • Familiarity with the modern data stack and cloud tooling (e.g. dbt, Snowflake/BigQuery, orchestration tools) and reproducible, version-controlled workflows. • Prior experience leading or mentoring a small analytics or data science team. Practicalities Reporting to: Managing ...

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 ...

delivery of data and analytics programmes, ensuring alignment with business goals, timelines, and quality standards. Planning, tracking, and managing complex technical dependencies across Snowflake, dbt, Airflow, and GitHub‐based development workflows. Collaborating closely with data engineering and analytics teams to support Snowflake architecture, performance optimisation, and cost management. Overseeing … Essential skills/knowledge/experience: Proven experience in a Technical Program Manager, Technical Project Manager, or similar role. Strong hands‐on understanding of Snowflake, dbt, GitHub, and Airflow in a production environment. Demonstrable experience delivering data engineering or analytics platform programmes. Solid understanding of modern data stacks, ETL pipelines ...

various internal and external sources, including APIs, FTP endpoints, and cloud data providers. Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools. Work on data architecture and data management projects for both new and existing data sources. Design … implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse. Analyze data pipeline performance and implement optimizations to improve efficiency and reliability. Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity ...

deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands … patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores ...

Data Engineer - Snowflake/Azure Data Factory A leading professional services organisation is seeking a Data Engineer to join its growing Data & Analytics function. This is an excellent opportunity to play a key role in the development and enhancement of an enterprise data platform, helping to deliver high-quality reporting ...

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 ...

environments, translating regulatory requirements into actionable data governance frameworks and driving measurable outcomes for CISOs, DPOs, and CDOs. Data Privacy implementation programme BigID and Snowflake CLIENT RESPONSIBILITIES Consulting & Advisory Lead end-to-end BigID implementations for enterprise clients across industries Act as primary point of contact for client stakeholders — CISOs … Configure BigID for data discovery, classification, DSR automation, and risk scoring Integrate BigID with client data ecosystems — cloud, on-prem, SaaS (AWS, Azure, GCP, Snowflake) Build client-specific dashboards, reports, and automated policy workflows Manage project timelines, deliverables, and escalations with minimal oversight Regulatory & Compliance Map client data flows ...

This role will primarily focus on supporting the team to deliver analytics insights for the Customer Borrowing Business, The Ideal candidate is experienced in Snowflake, GitLab with strong SQL skills, and Analytical skills to deliver high-quality analytical insight to Customer Borrowing business with focus on Credit Cards, Loans, Overdraft … will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Key Skills and Experience Hands on experience with: Snowflake data platform development and optimization. GitLab source control, CI/CD, and code management. AWS Quick sight and/or Excel. Data pipeline development ...

Application Deadline: September 1st, 11:59pm EST Company Overview: Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the ...

concept and technical validations. You have experience working with APIs, modern authentication methods and cloud-based data architectures. Experience with platforms such as Snowflake, Databricks or similar technologies would be advantageous. Data Platform Fluency: You have a solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift ...

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. ...

agenda, your work will directly accelerate product development, operational automation, and smarter commercial decisions. Driving business value through leading our data transformation and implementing snowflake to power business-wide scaling Defining, building and implementing critical data products and delivering sustainable change to how we manage and process data Implement Funding … confidence and operational maturity to lead from day one. Expertise in modern cloud data stacks, platform architecture, and modernising legacy infrastructures (specifically AWS and Snowflake environments) A strong background in developing and executing enterprise data strategies, leading large-scale modernisation initiatives, and establishing robust governance frameworks Exceptional capability to articulate ...