376 to 400 of 701 Snowflake Jobs in the UK

stakeholders, both within and adjacent to the finance function. Deliver multiple projects, ensuring that stakeholder needs are met. Manage a suite of reporting and core data tables, ETL processes, Snowflake and Looker for data analysis and presentation. Requirements Experience of stakeholder management is required. Proficiency in handling data through ETL processes and Looker using SQL and Python is highly desired. … We are in the process of switching to Snowflake. A working knowledge of Snowflake is therefore highly desired. Basic knowledge of finance would be helpful. Regardless of background there will be a steep learning curve in this area. Current and upcoming projects: Across these projects you would collaborate with a wide range of stakeholders across Finance and beyond. These include More ❯

solution-oriented, strategically minded, and able to communicate insights clearly to both technical and non-technical audiences. Requirements: Advance Python (Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch) & SQL skills. (Snowflake a plus) Experience with Data warehousing and database technologies Solid machine learning experience (modelling to deployment) Cloud exposure (GCP/AWS/Azure) Excellent communication & stakeholder skills Leadership or mentoring More ❯

solution-oriented, strategically minded, and able to communicate insights clearly to both technical and non-technical audiences. Requirements: Advance Python (Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch) & SQL skills. (Snowflake a plus) Experience with Data warehousing and database technologies Solid machine learning experience (modelling to deployment) Cloud exposure (GCP/AWS/Azure) Excellent communication & stakeholder skills Leadership or mentoring More ❯

enterprise , we are relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish … ensure tasks are achievable , and driv ing a culture of iterative improvemen t. Modern data stack - hands-on deploy ment and govern ance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran , Airflow, AWS , GitHub, Terraform, etc ) for self-service workloads . Thought leadership and influencing - deep interest in data platforms landscape to build well-articulated proposals that are More ❯

development best practices Desirable Experience with any of the following: SQL Server, PostgreSQL, NoSQL database technologies Familiarity developing and maintaining data warehouses/lakes using big data solutions (e.g. Snowflake, Databricks) Benefits Market-leading base + bonuses Meritocratic work culture and superb chance to work with the best engineers Direct business impact, little to no 'red tape' Contact If you More ❯

building applications in AWS with a strong data focus. Experience in the front office of a financial company, ideally within commodities will also be required, additional technical experience with Snowflake and Terraform would be a huge plus. You’ll have lots of input into building all kinds of new tools and models and you’ll be able to see the More ❯

building applications in AWS with a strong data focus. Experience in the front office of a financial company, ideally within commodities will also be required, additional technical experience with Snowflake and Terraform would be a huge plus. You’ll have lots of input into building all kinds of new tools and models and you’ll be able to see the More ❯

of the following technology platforms (cloud data platform experience preferred): Microsoft SQL Server (T-SQL, SSIS, SSRS, SSAS) Google Cloud Platform (GCS, Google Cloud Composer, GKE, Cloud Functions, BiqQuery) Snowflake Cloud Data Platform dBt Data Transformation Framework Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays , your potential has no limits. Apply More ❯

stakeholder management for effective collaboration. Advanced knowledge of modern data architectures (data lakes, data warehouses, data mesh). Proficiency in cloud platforms (GCP, AWS, Azure) and data tools (Databricks, Snowflake). Agile delivery experience within a matrixed organisational structure. A history of crafting and executing successful data-driven propositions. Relevant certifications (data architecture, engineering, or management). Proven success in More ❯

a data-driven culture within the organisation Essential Criteria - Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline - 7+ years of experience with advanced SQL (Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, MSSQL, etc.) - 5+ years of experience with reporting/visualization tools (Looker, Tableau, Power BI, etc.) - Strong knowledge of Looker/LookML highly desirable - Deep understanding More ❯

leading and management skills, able to upskill a small team and help them transition to more technical work. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class. Familiarity More ❯

leading and management skills, able to upskill a small team and help them transition to more technical work. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class. Familiarity More ❯

leading and management skills, able to upskill a small team and help them transition to more technical work. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class. Familiarity More ❯

Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting with integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive More ❯

advanced marketing analytics for Marketing Mix Modelling, Forecasting, and Predictive Analysis. Experience with data transformation and parsing using SQL queries, Python, or R. Experience with cloud data warehouses (e.g., Snowflake, BigQuery), visualization tools (e.g., Tableau, Looker), and web analytics platforms. If you believe you have the relevant experience, please reply to this advert or email your CV to Not right More ❯

design and documentation Experience with any modern JavaScript front-end tools such as Vue.JS, React, Angular, etc. Experience with Docker for containerization Familiarity with data storage solutions such as Snowflake or Bigtable, with experience in handling large datasets and optimizing queries More about Veson: We are a team of multi-cultural, multi-disciplined professionals that are dedicated to making our More ❯

complex systems impact assessments Experience with ETL processes, data warehousing concepts, and reporting system design Knowledge of database platforms (SQL Server, Oracle, MySQLPostgreSQL, or similar) and ideally warehouse solutions (Snowflake) Experience working with data transformation tools, including setting test parameters for quality. Systems Integration & Architecture Deep understanding of enterprise system architectures and data flow dependencies Experience with both proprietary custom More ❯

senior-level/Enterprise Data Architect in a regulated, client-focused environment (ideally financial services) Strong understanding of data governance frameworks, data quality, and compliance Hands-on experience with Snowflake, DBT, and an awareness of the wider vendor landscape (e.g., Adobe, Braze, etc.) Ability to design and author data architecture standards, models, and strategy Sound knowledge of modern data architecture More ❯

manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity with reporting and analytics tools, Qlik, Microsoft Excel, Power BI, Synapse, Snowflake or similar. Self-motivated, proactive, with a strong sense of ownership, initiative, and problem-solving abilities. Excellent communication skills, with the ability to translate complex technical concepts to non- technical More ❯

of the design and creation of these initial systems. To be successful as a Data and Software Engineer , you should have experience with: Kafka developing Java developing Databases (e.g. Snowflake, MongoDB) Other highly valued skills include: Cloud Platform (e.g. AWS) Flink/Kstreams Linux/Shell You may be assessed on the key critical skills relevant for success in role More ❯

new data stack could include Python. Experience building and maintaining backend systems, APIs, and data services. Deep proficiency with SQL and experience working with production data stores (PostgreSQL, Redshift, Snowflake, DynamoDB, etc.). Hands-on experience with data pipelines, ETL/ELT processes, and/or event-driven architectures. Comfort working with and transforming time-series or other noisy sensor More ❯

new data stack could include Python. Experience building and maintaining backend systems, APIs, and data services. Deep proficiency with SQL and experience working with production data stores (PostgreSQL, Redshift, Snowflake, DynamoDB, etc.). Hands-on experience with data pipelines, ETL/ELT processes, and/or event-driven architectures. Comfort working with and transforming time-series or other noisy sensor More ❯

new data stack could include Python. Experience building and maintaining backend systems, APIs, and data services. Deep proficiency with SQL and experience working with production data stores (PostgreSQL, Redshift, Snowflake, DynamoDB, etc.). Hands-on experience with data pipelines, ETL/ELT processes, and/or event-driven architectures. Comfort working with and transforming time-series or other noisy sensor More ❯

disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models. A More ❯

ML applications and data reporting SQL at least basics but by year 3 should be quite proficient with at least pulling data Data Lake implementation and processing. Knowledge of Snowflake or equivalent XGBoost, LightGBM and the ability to use them for tabular data NLP and familiar with modern transformers Experience using Tableau or PowerBI for visualisations and reporting Familiarity with More ❯