1 to 25 of 153 Snowflake Jobs in the UK

skills. Experience designing modern Lakehouse architectures. Experience working with cloud platforms including AWS, Azure or GCP. Experience with modern data warehousing technologies such as Snowflake, Redshift or BigQuery. Experience with orchestration tools such as Airflow or Databricks Workflows. Previous experience working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka ...

Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, GCP Vertex etc. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You’ll receive ...

optimisation Experience with data governance, security, and regulatory compliance Hands-on experience with ETL processes, data warehouses, and cloud platforms (e.g. AWS, Azure, GCP, Snowflake) Ability to communicate technical concepts clearly to non-technical stakeholders Desirable: Experience with data visualisation tools (e.g. Power BI, Tableau) Familiarity with metadata management ...

processes, tools and best practices across the wider data community. Key Requirements Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation. ...

data-intensive environment Working with data from multiple systems and structures and at different velocities including near real time Strong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisation Advanced SQL development including query development and optimisation, stored procedures, and performance tuning Expert knowledge ...

tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power ...

Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

Experience with tooling such as Jira, Confluence or similar platforms ·Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

data issues. Required Skills & Qualifications: Strong experience in delivering cloud data solutions, preferably in Microsoft Fabric or Azure. Experience with other platforms like AWS, Snowflake, or Databricks is also beneficial. Hands-on expertise with Data Factory (Fabric or Azure), notebooks (Python, PySpark), advanced SQL, and robust data modelling and performance ...

Snowflake Developer Hybrid - London 6-month contract (Potential Extension) The Opportunity: We are seeking a hands-on Senior Data Warehouse Developer with 10-12 years of experience to design and implement scalable, high-performance data pipelines. You will collaborate with a cross-functional team of architects and analysts to optimize … optimize scalable ETL/ELT workflows and data pipelines for structured and semi-structured datasets (exposure to policy/insurance data preferred). Snowflake Innovation: Drive CDC-based incremental processing using Snowflake Streams, Tasks, Snowpipe, Dynamic Tables, and Stored Procedures. Data Modeling: Design robust fact, dimension, and star schema models ...

driven solutions. Skills and experience you need as Analytical Engineer: Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation Proven experience ...

coding and data practice standards Experiment with emerging data, ML and AI technologies What you'll need: Strong Python, PySpark, SQL and Databricks or Snowflake experience AWS cloud data engineering expertise Experience building scalable batch and real-time data pipelines Airflow, CI/CD, Git and modern engineering practices Knowledge ...

agile squads. Supporting ML and GenAI infrastructure and workflows. Key Requirements Passion for building scalable, resilient cloud data platforms. Strong experience with Databricks or Snowflake on AWS. Proven Python skills, including Spark and Airflow expertise. Advanced SQL skills and end-to-end data modelling experience. Experience building batch and real ...

also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with Infrastructure as Code, ideally Terraform Desirable * Experience with Databricks, Snowflake or BigQuery * Cloud certifications (AWS, Azure or GCP) * Experience mentoring junior engineers or working in a consulting environment This is an excellent opportunity to work on complex ...

BI. Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms. Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory. An understanding of data governance, data lineage and data quality principles. The ability to work collaboratively with stakeholders to translate business ...

Experience with data cataloguing tools, SQL for data validation and analysis, and familiarity with data visualisation tools and cloud‐based data platforms. Knowledge of Snowflake, Azure, Databricks and PowerBI. Track record translating complex data requirements into technical specifications in financial services and/or life operations. Ability to translate technical ...

intelligence platforms (Looker, dbt Semantic Layer, AtScale); Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search); Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner); Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan); MCP (Model Context Protocol) for agent‐data connectivity. Agent & AI Systems ...

data engineers, data scientists, analysts, developers, architects and product teams to support analytics, machine learning and wider data-driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools ...

Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/SQL Server environment This role ...

similar enterprise AI tools Business Analysis Process mapping Stakeholder management & engagement Workshop facilitation Translating business requirements into technical requirements Data Platform Knowledge Exposure to Snowflake Cloud data warehouse concepts ETL/ELT processes Highly Desirable Skills Alteryx experience ERP experience (Epicor, SAP, Oracle, Dynamics, etc.) API integration knowledge AI governance ...

Medallion-aligned data pipelines (Bronze/Silver/Gold) in our cloud data lake or lakehouse (Azure/AWS/GCP/Databricks/Snowflake). Assess and remediate the current third-party implementation , identifying blockers and accelerating delivery. Define the SAP data model strategy , including prioritisation of modules ...

governance, quality standards, and effective stakeholder engagement Desirable Skills Advanced architectures: Data mesh, data fabric, real‐time/event‐driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise ...

with enterprise security principles, identity management, and governance frameworks. Ability to balance strategic thinking with hands-on problem solving. Desirable Experience designing architectures involving Snowflake, Azure Data Lake, Databricks, or similar modern data platforms. Relevant cloud certifications (e.g. Azure Solutions Architect Expert). Experience working within regulated industries (finance ...

PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event‐driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining ...

data strategy, including the establishment or scaling of data governance capabilities, operating models, or data offices within a complex organization. Extensive experience with Salesforce, Snowflake and Microsoft PowerBI, or other BI tools, is required. Track record of leading cross-functional initiatives across business, technology, risk, and compliance teams, with exposure ...