26 to 39 of 39 Snowflake Jobs in the City of London

Experience with Azure Functions is a plus Demonstrated experience building APIs to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Required Skills Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Resilient problem solving More ❯

delivery. Passionate about the real-world impact of AI and emerging technologies. Nice to Have Experience in sectors like telco, financial services, or retail. Knowledge of tools like Databricks, Snowflake, or Azure ML. Understanding of generative AI use cases and deployment frameworks. Why this opportunity? Work on complex, strategic programmes that blend consulting with hands-on innovation. Collaborate with a More ❯

and cloud consumption, working closely with Microsoft'sautonomous unit and internal teams across Compliance, Risk, and Delivery. Onthe AWS side, responsibilities include renewals and sourcing across keysuppliers like Datadog, Snowflake, and CloudWatch, as well as SaaS andL&P-focused procurement. This role currently has one direct report(expanding to two), sits within a global team of 30, and reports into More ❯

this kind of experience, but it would be a huge plus. There's a modern data tech stack in place and recent projects have included an Azure migration and Snowflake implementation. There are no plans to stop here and your ideas and strategies may well involve some new platforms to help you achieve your goals. It's a multi-faceted More ❯

your work and that of others effectively to ensure timely and value-added delivery. Technical knowledge: Data Management practices and Data Management tools (Cloud native or other) e.g. Collibra, Snowflake; Google’s Dataplex Data Analytics practices and tools AI Governance Frameworks, laws and regulations (including intersection with data privacy laws and regulations) Understanding of emerging AI technologies and practices More ❯

experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference Optimise data … or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing skills—comfortable leading on technical delivery 🎁 What’s on More ❯

training, while also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock … their teams. Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving … analytics Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements More ❯

training, while also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock … their teams. Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving … analytics Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements More ❯

find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. The Role: This is a More ❯

join their growing London-based data team. You’ll work on mission-critical data engineering projects they continue their global expansion—starting with integrating the European ledger into their Snowflake data warehouse to create a unified view of business performance across regions. This is a hands-on, high-visibility role, reporting directly to VP of Data based in the US … ll Be Doing • Design and own robust, high-performance ETL pipelines using SQL, Python, Databricks, and DBT • Ingest complex data sets from Europe’s specialty and warranty businesses • Integrate Snowflake warehouse and automate financial/operational reports • Support data product strategies and improve overall data quality and structure • Collaborate with product managers and engineers on global data initiatives • Define and More ❯

Risk Reporting & Analytics Team Lead – Snowflake | Power BI | Banking Overview: A leading global financial institution is looking for an experienced and strategic leader to head its Risk Analysis and Reporting function. This is a key role for a delivery-focused professional with a technical background and a deep understanding of risk systems, who can drive innovation across Business Intelligence and … data platforms. The successful candidate will lead a high-performing national team and play a central role in enhancing data capabilities using Snowflake and Power BI. Role & Responsibilities: Lead and mentor a team of 10–15 data and analytics engineers Oversee delivery of risk reporting solutions across Market, Credit, and Enterprise Risk Liaise with risk managers and modellers to translate … business needs into data solutions Drive project delivery, performance, and team development Support strategic growth of the Snowflake platform and Power BI capability Ensure alignment with risk and regulatory standards Essential Skills & Requirements: Strong leadership in BI, analytics, or data engineering, ideally within banking 5+ years of Snowflake experience with deep platform knowledge Proven experience with Power BI and server More ❯

strong foundation in Data Engineering and experience managing a squad of 47 Data Engineers. Youll bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI. Youll manage a squad of engineers and play a key role in delivering scalable, modern data solutions as part of a group-wide transformation. Requirements … modern data architectures and tooling; Financial Services experience is a plus. Experience managing Data Engineering teams Strong SQL and cloud skills (Azure preferred) Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python) Track record of building/maintaining robust data pipelines Agile experience Financial Services experience is a bonus If you are an experienced Data Engineering Manager with the More ❯

to focuss on API Implementation to join a well established team which is growing. The role will involve developing analytics solutions using leading tech stacks and cloud technologies (Azure, Snowflake, Databricks and Python). The Role Develop and maintain an API strategy aligned with business objectives, enhancing current systems and integrating third-party APIs. Design and develop API architectures, set … development experience, with Azure Functions knowledge as a plus. Demonstrated experience building APIs supporting analytics, research, or actuarial functions in an insurance environment. Proficiency with cloud technologies such as Snowflake, Databricks, and familiarity with MLOps frameworks. Exhibit strong collaboration, problem-solving, and communication skills, with the ability to adapt to changing priorities and simplify complex problems. More ❯

find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. The Role: We're hiring … solutions and client needs. Responsibilities: Lead the technical delivery of cloud-native data platforms using AWS, Azure, or GCP Architect and implement scalable solutions with tools like Databricks and Snowflake Integrate ingestion/orchestration frameworks across a variety of client environments Provide hands-on mentorship, line management, and technical guidance to delivery teams Collaborate directly with clients and stakeholders to … shape our future delivery capabilities Personal Specification: Must be able to demonstrate significant experience deploying cloud-native solutions across at least two of: AWS, Azure, GCP Expertise in Databricks, Snowflake, and modern DevOps practices (IaC, CI/CD) Strong solution architecture skills, with the ability to communicate technical ideas clearly to business stakeholders Experience in technical leadership and/or More ❯