51 to 75 of 168 Snowflake Jobs in the UK

feedback, identify market needs, and collaborate with Product and Engineering teams to influence the product roadmap. Familiarity with data warehouses and cloud infrastructure (e.g., Snowflake, GCP, AWS, Azure). Comfortable with undertaking discovery or setting up small scale tests that would include: querying a DWH during POV/POCs, configuring ...

Your new role As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting … initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. * Ensure Data Quality: Apply governance, security, and compliance standards. * Collaborate: Support analysts ...

Work closely with operational, commercial and finance stakeholders Act as the technical authority across the data estate Requirements Experience with modern data warehouse tooling; Snowflake, Synapse, Fabric or similar Strong SQL and dimensional modelling expertise Experience designing scalable ETL/ELT pipelines Experience working with ERP and financial data environments ...

through implementation Influencing architectural strategy and long-term capability Technology environment You'll typically be working across: AWS, Azure and Google Cloud Databricks and Snowflake Lake, lakehouse and modern warehouse architectures Distributed data processing platforms DevOps, Infrastructure as Code and secure deployment patterns Data governance, access control and analytics enablement ...

Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools — Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability ...

Full Stack Engineering within SaaS, analytics, or data-heavy environments. Strong experience with Python, SQL, React, and TypeScript. Experience with Azure cloud infrastructure and Snowflake (or similar data platforms). Strong understanding of APIs, distributed systems, and data engineering concepts. Experience with CI/CD, containerisation, and agile delivery environments. ...

manage multiple tasks effectively. Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. ...

Platform Engineer will have 8+ years of Data Engineering experience within complex enterprise environments. * Strong experience with cloud data warehouse technologies, ideally BigQuery, although Snowflake and Redshift experience will also be considered. * Hands-on experience with GCP technologies including BigQuery, Dataflow, Composer, and Cloud Functions. * Strong Python development experience alongside ...

industries, including Financial Services, Public Sector, Retail, Energy, Healthcare, Aviation, and more, and we are partnered with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help ...

required: Experience building new products from scratch rather than inheriting legacy systems. Sensitive datasets in regulated industries, especially telco Data cleanrooms - Google, Snowflake or equivalent Why This Opportunity Is Worth Your Time Real architectural scope: Own the direction of a strategic data platform at one of the UK's largest ...

data engineering) with a deep understanding of data platform architecture and data modeling. Tooling: Proficiency in SQL, Python, and Databricks is essential. Experience with Snowflake, Sigma, and dbt Cloud is highly preferred. Industry Context: Previous experience in Fintech (small to midsize) or regulated industries (gaming/betting) is a significant ...

e.g., causal inference, predictive modeling, attribution), with strong command of SQL and Python/R, and familiarity with modern data stacks (e.g., Amplitude, Looker, Snowflake, Databricks). Demonstrated ability to lead change at scale: embedding experimentation and data‐driven decision‐making into product and business processes. Lead the adoption ...

Components), React, Redux, Redux Hooks, and other modern state management libraries. Kotlin on Android and Swift on iOS. Data Analytics/Engineering: SQL, Python, Snowflake, dbt, Airflow & Looker. AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, SageMaker and MLflow for Machine Learning, Cursor ...

Experience evaluating data maturity and providing recommendations to align current capabilities with long-term strategic goals. Technical Proficiency: Practical experience with SQL, particularly within Snowflake database environments. Cloud Infrastructure: A general understanding of cloud resources, specifically AWS architectures. Where and how you'll work This is a permanent position based ...

A specialist bank in London is looking for a Data Engineering Lead to guide a team of data engineers towards becoming fully data-driven. You will own the delivery of data and play a critical ...

platforms Familiar with Agile/Scrum methodologies Excellent communicator across technical and non-technical teams Analytical mindset with attention to detail; experience with Snowflake, Databricks, SQL, Python, Tableau, or PowerBI is a plus This role offers a chance to make a meaningful impact within the business, if you would like ...

based data stack and help shape quality practices in a fast-paced, large-scale environment. You will be working with cutting-edge tools including: Snowflake dbt Fivetran GitHub Actions Azure DevOps What Youll Be Doing Designing and building automated tests to ensure data quality and reliability Writing and optimising complex ...

/Azure and Kubernetes Proven delivery of large-scale migration programmes Desirable: CI/CD and DevOps experience Integration with tools like Airflow, Snowflake, Databricks Experience in regulated/public sector environments What you need to do now If you're interested in this role, click 'apply now' to forward ...

teams Strong ability to turn data into clear commercial insight Hands-on technical skills ( SQL + Python ) Experience with modern data tools (e.g. Snowflake, Power BI) Exposure to AI tools/automation in analytics Strong stakeholder management, including senior leadership Background Open to any data-rich, commercial sector (FS helpful ...

Terraform experience Strong scripting skills (Python, Bash, or PowerShell) Experience with Kafka or similar streaming platforms Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery) Strong understanding of data pipelines and distributed systems Focus on automation, scalability, and reliability Nice to Have Lakehouse or large-scale data platform ...

actionable business recommendations for senior stakeholders. Hands on technical capability using SQL, with Python experience preferred. Experience working with modern data stacks such as Snowflake and Power BI or similar tools. Practical experience applying AI tools within analytics, with a clear understanding of benefits, limitations and governance. Confidence operating ...

normalisation, and dimensional design Experience with cloud data warehouse platforms – Google BigQuery is the existing lakehouse technology; hands‐on experience with BigQuery or equivalent (Snowflake, Redshift, Databricks) is expected Ability to produce technology‐agnostic logical models and translate them into well‐reasoned implementation recommendations Proven ability to facilitate workshops with ...

someone who enjoys both developing high-quality data solutions and supporting others. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and SQL Transform complex data into structured, analytics-ready datasets Develop and optimise Snowflake components (tasks, streams, stages, dynamic tables) Monitor and improve data quality … pipelines Support team development and contribute to hiring and best practices Requirements: Strong SQL skills (joins, CTEs, window functions, optimisation) Experience working with Snowflake in a production environment Knowledge of dbt (models, testing, documentation) Experience building pipelines in a cloud-based data environment Python (or similar) for scripting and automation ...

Principal Data Architect - Energy, Data Platforms, Snowflake, Azure Fabric £825 per day (Inside IR35) Primarily remote 3 - 6 months My client, a high-profile consultancy, urgently requires a Principal Data Architect to join a major Programme. This role will play a key part in delivering enterprise data architecture and supporting … Requirements: Proven experience as a Principal/Lead Data Architect in complex enterprise environments Strong track record delivering end-to-end cloud data platforms (Snowflake and/or Azure Fabric) Expertise in data modelling (dimensional, star/snowflake, 3NF) and ELT/ETL pipeline design Deep hands-on experience with ...

Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Fabric, Databricks, and Snowflake to support customer deployment flexibility. Contribute to the long-term roadmap for data and AI capabilities across Quantios products and internal teams. Data Modelling & Lakehouse Design … Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards. Guide implementation of Purview, Unity Catalog, or Snowflake governance tooling depending on platform. Ensure that data architecture adheres to Quantios’ security, privacy, and regulatory requirements. Define patterns for sensitive data handling, encryption ...