101 to 125 of 334 DemandTrendPermanent Snowflake Jobs

Calibra, Qlik, Sigma, Power Platform Data Engineering : ETL/ELT pipeline development, data validation using DVT, and data quality frameworks Database Technologies : Advanced expertise in PostgreSQL and Databricks or Snowflake for data warehousing and analytics AWS Cloud Platform : Expert proficiency in S3, Glue, Lambda, data lake implementation, and cloud infrastructure management Insurance Domain Knowledge P&C Insurance Operations : Deep understanding More ❯

technical requirements. Proficiency in SQL, with experience handling complex datasets and unstructured data. Strong problem-solving skills and stakeholder management expertise. Knowledge of ETL, cloud-based data platforms (e.g. Snowflake), and financial KPIs. Familiarity with Agile delivery methods and Azure DevOps. Why You’ll Love It: This isn’t just about crunching numbers. It’s about transforming data into decisions More ❯

technical requirements. Proficiency in SQL, with experience handling complex datasets and unstructured data. Strong problem-solving skills and stakeholder management expertise. Knowledge of ETL, cloud-based data platforms (e.g. Snowflake), and financial KPIs. Familiarity with Agile delivery methods and Azure DevOps. Why You’ll Love It: This isn’t just about crunching numbers. It’s about transforming data into decisions More ❯

technical requirements. Proficiency in SQL, with experience handling complex datasets and unstructured data. Strong problem-solving skills and stakeholder management expertise. Knowledge of ETL, cloud-based data platforms (e.g. Snowflake), and financial KPIs. Familiarity with Agile delivery methods and Azure DevOps. Why You’ll Love It: This isn’t just about crunching numbers. It’s about transforming data into decisions More ❯

Application Support Manager - Investment Banking - London/Hybrid (Key skills: Application Support, Service Delivery, ITIL, Salesforce, Figaro, Invu, Snowflake, Power BI, Incident Management, Problem Management, Change Management, Application Lifecycle, Team Leadership, SLA Management, Vendor Management, Stakeholder Engagement, Continuous Improvement, Risk & Compliance, Investment Banking) Are you an experienced leader in application support, skilled in managing business-critical systems in high-pressure More ❯

We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

aim is to transition the business from its current landscape of bespoke, custom-built systems to more modern, streamlined solutions - such as the implementation of ServiceNow and a new Snowflake data warehouse. Due to the technical nature of the role, we're looking for a Business Analyst with a strong understanding of data structures and data modelling, and hands-on More ❯

and data systems. Expert knowledge of relational database design, normalisation, and data modelling. Proficiency in SQL, database optimisation, and data mapping. Strong understanding of ETL processes, data warehousing concepts (Snowflake advantageous), and API integrations. Experience with both custom-built systems and commercial platforms. Awareness of cloud-based architecture, ideally Azure. Proven ability to communicate complex technical concepts to non-technical More ❯

and data systems. Expert knowledge of relational database design, normalisation, and data modelling. Proficiency in SQL, database optimisation, and data mapping. Strong understanding of ETL processes, data warehousing concepts (Snowflake advantageous), and API integrations. Experience with both custom-built systems and commercial platforms. Awareness of cloud-based architecture, ideally Azure. Proven ability to communicate complex technical concepts to non-technical More ❯

and data systems. Expert knowledge of relational database design, normalisation, and data modelling. Proficiency in SQL, database optimisation, and data mapping. Strong understanding of ETL processes, data warehousing concepts (Snowflake advantageous), and API integrations. Experience with both custom-built systems and commercial platforms. Awareness of cloud-based architecture, ideally Azure. Proven ability to communicate complex technical concepts to non-technical More ❯

together, running delivery of and working in Agile Skilled in the analysis and documentation of data flows with effective user story writing and management Experience in SQL, Power BI, Snowflake or similar Exposure to a range of data technology platforms across a global enterprise, with experience of cloud technology desirable Able to communicate complex ideas, issues, and designs to varied More ❯

. You'll ideally have experience with most of the following: Commercial experience developing in Qlik (ideally with Sense Cloud) , including scripting and dashboard design Hands on experience with Snowflake Experience with QlikView is beneficial but not essential Proficiency in SQL and working with relational databases Experience designing and implementing ETL processes Understanding of data warehousing and building data lakehouses More ❯

. You'll ideally have experience with most of the following: Commercial experience developing in Qlik (ideally with Sense Cloud) , including scripting and dashboard design Hands on experience with Snowflake Experience with QlikView is beneficial but not essential Proficiency in SQL and working with relational databases Experience designing and implementing ETL processes Understanding of data warehousing and building data lakehouses More ❯

languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical A nuanced understanding of code quality, maintainability More ❯

languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical A nuanced understanding of code quality, maintainability More ❯

languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical A nuanced understanding of code quality, maintainability More ❯

languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical A nuanced understanding of code quality, maintainability More ❯

languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical A nuanced understanding of code quality, maintainability More ❯

will possess the following: Experience with data modelling tools and techniques (eg, ER/Studio, ERwin, UML, etc.). Proficiency in SQL/Python and data manipulation. Knowledge of Snowflake & Azure Understanding of data architecture principles and data governance. Good understanding of database management, design best practices and enterprise-level data architecture. Ability to communicate complex technical ideas clearly to More ❯

professionals who have a proven track record in leading test automation projects and mentoring junior engineers. This role offers the opportunity to work on complex and innovative projects involving Snowflake, AzureServiceBus, Charles-River, SAP, etc., and to leverage advanced testing frameworks like Playwright, Specflow, and custom in-house Python-based applications within Agile and TDD methodologies. The ideal candidate will More ❯

to analyse, synthesise and translate complex issues. Tools & frameworks : In-depth understanding of Agile delivery and familiarity with data visualization tools such as PowerBI to support strategic decision-making. Snowflake experience preferred. How we look after our employees Our brand new "PXC Flex" benefit launched in January 2025, which includes Flex30, an additional 30 hours of leave every year for More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯