1 to 25 of 160 Snowflake Jobs in the UK

/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. Understanding of key data architecture methodologies ...

with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience ...

migrations Expert-level SQL/T-SQL with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines ...

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 ...

emerging data technologies, products and delivery approaches Familiarity with cloud platforms such as Azure, AWS or GCP, alongside technologies including Databricks, Snowflake, Power BI, Hadoop, SQL and Python Experience working with delivery methodologies including Agile, SAFe and Waterfall Strong proficiency with tools such as Jira, Confluence and Planview A proactive ...

Profile Strong product management experience (ideally in data or analytics products) Solid understanding of: Data architecture and pipelines (ETL/ELT) Data warehousing (e.g., Snowflake, Azure Synapse, Big Query) BI tools (Power BI, Tableau, Looker) Knowledge of SQL and data querying (hands-on or conceptual) Familiarity with Agile/Scrum ...

Partner with global stakeholders to translate business needs into technical outputs. Requirements & Tech Stack Core Technical Skills Databases: Expert SQL skills; extensive experience with Snowflake and MS SQL Server . ETL & Modeling: Strong experience with dbt and at least one ETL tool ( Matillion, Fivetran, SNP Glue, or Informatica ). ...

ready solutions. Technology Environment You will be working across a modern Azure data stack, including: Azure Databricks Azure Data Factory (ADF) Synapse/Fabric Snowflake Python & PySpark SQL DevOps & CI/CD tooling within Azure Experience Required: Strong experience in modern data engineering within trading or financial services (energy/ ...

Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding of data ...

analytics advantageous as is basic knowledge of Python or R Basic SQL skills and understanding of data modelling Experience working with big data (e.g. Snowflake, BigQuery, Redshift, dbt, Fivetran/Airflow) Experience building dashboards using BI tools (e.g. Power BI, Tableau, Looker) Strong analytical thinking and problem-solving skills Ability ...

using prompt engineering, embeddings, and evaluation techniques Build AI solutions for document processing, compliance, and banking chatbots Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud platforms Implement batch and real-time data processing with structured and unstructured data Deploy solutions on cloud with CI/CD, MLOps tools ...

with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong ...

with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong ...

with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong ...

Skills & Experience Strong commercial experience in analytics engineering or working closely with data analytics teams Advanced SQL skills within modern data platforms such as Snowflake, BigQuery, or Databricks Experience building and automating data pipelines and workflows Working knowledge of dbt for data transformation Proficiency in Python for data manipulation ...

What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure high data quality ...

data architecture engagements from discovery through to implementation and optimisation Design and deliver enterprise-scale data platforms across Microsoft Fabric, Azure, AWS, Databricks and Snowflake Define data architecture roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning ...

Experience working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

workflows Skills and experience you need as the Senior Data Engineer: 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 ...

Examples of commonly seen platforms may include: Guidewire Duck Creek Sequel Verisk Xuber Eurobase Salesforce ServiceNow Power BI/Tableau Azure/AWS/Snowflake-based data platforms Good to Have Skills Experience with Lloyd’s Blueprint Two/London Market modernisation initiatives. Knowledge of ACORD messaging, market messaging ...

experience in Analytics Engineering or a similar data-focused role. Strong SQL skills and experience working with modern cloud data platforms such as Databricks, Snowflake, or BigQuery. Experience building and automating data pipelines and transformation processes. Familiarity with dbt (Cloud or Core). Working knowledge of Python. Experience delivering data ...

modernising the data platforms, governance and AI capabilities that keep these institutions competitive. The environment you'll be working in Azure · AWS · GCP · Databricks · Snowflake · Power BI · Python · SQL · Agile · Jira · Confluence · SAFe, plus modern Data, AI and Governance platforms. You'll thrive here if you have A track record ...

modern data stack. Advanced SQL capability, including complex transformations, window functions, and performance optimisation. Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery. Deep understanding of dimensional modelling techniques and tools such as dbt. Hands-on expertise with enterprise BI platforms, such as Power BI, Looker ...

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 ...