76 to 100 of 231 Snowflake Jobs

. Collaborate effectively with stakeholders, ensuring clear communication throughout project lifecycles. Skills, Experience, and Abilities Required: Essential: Expert-level experience with Azure Data Factory (ADF) Hands-on experience with Snowflake and Databricks Proficiency in Python programming Strong Azure and SQL knowledge Excellent debugging and troubleshooting abilities Good communication skills Desirable: 6 to 8 years of relevant experience in data engineering More ❯

function to support better decision making and commercial performance. The Role This position sits within a central data team during a period of transformation. The business has invested in Snowflake, AWS and Power BI and is now focused on building more effective reporting and insight capabilities. You will own the development of reports and dashboards for BAU and KPI needs More ❯

is essential. SQL - advanced proficiency in data querying and analysis. Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community More ❯

comprehensive documentation of models, frameworks, and governance procedures Skills/Must have Proven track record in enterprise data architecture Strong background in Data Lakes, cloud-based data warehousing (eg Snowflake), and Big Data environments Proven success delivering scalable data architecture solutions across complex programmes Deep understanding of metadata management and advanced data modelling practices Experience with various modelling methodologies (3NF More ❯

Ability to engage with stakeholders, explain complex concepts, and influence technical decisions. Certifications: AWS Certified Solutions Architect and/or TOGAF 9 or equivalent. Bonus Skills: Experience with Databricks, Snowflake, Palantir, Quantexa, SAS, AI/ML, GenAI, or work in regulated industries like the Public Sector. More ❯

data structures, transactions, integration points. Experience: Managing master data in SAP ECC. Exposure: SAP S/4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices More ❯

data structures, transactions, integration points. Experience: Managing master data in SAP ECC. Exposure: SAP S/4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices More ❯

re looking for someone who brings deep technical expertise, leadership, and a commercial mindset. You might be a great fit if you have: Strong experience in data warehousing (ideally Snowflake), SQL, and ETL tools (ideally Matillion) Experience designing data models and leading technical delivery Excellent communication and project management skills A commercial mindset and ability to align data work with More ❯

other specialist areas such as data architecture, data science or data governance Experience of using common platforms and/or visualisation tools such as Tableau, PowerBI, Google Data Studio, Snowflake, Databricks and data governance tools such as Collibra, Alation etc. Why join AND Digital? We have three core values: wonder, share, and delight. These values inform how we work with More ❯

at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's More ❯

choices and engage with senior stakeholders. Core skills will be working in a real time Linux based environment with multi-threaded java, using technologies such as Kafka, IBM MQ, snowflake and other leading high performant data and caching technologies. Experience in API technologies such as REST/GraphQL and Python/Perl scripting also would be helpful. The candidate should More ❯

using data. To be successful as a Technical Deployment Lead, you should have: Experience with cloud technologies for data processing, analytics, and workload management A good understanding of AWS, Snowflake, Databricks, and Azure architectures and features, including but not limited to: Compute services: EC2, Lambda, Auto Scaling, VPC Storage and container services: ECS, S3, DynamoDB, RDS Management & governance tools: KMS 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 ❯

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 ❯

end experience is a bonus (e.g. React), but not a must-have • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a great package on More ❯

expertise in cloud platforms (Azure strongly preferred) and hybrid deployment models - Strong programming and scripting skills for system integration and automation - Experience with data platforms such as DataBricks and Snowflake - Deep understanding of financial services compliance requirements - Excellent problem-solving and cross-functional collaboration skills Preferred Qualifications - Advanced degree in Computer Science, Engineering, or related field - Cloud architecture certifications (Azure More ❯

Application Support Manager - Asset Management - 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 ❯

Exceptional leadership, technical management, and communication skills used to handling complex stakeholder relationships. Desirable Skills Certifications in Oracle Cloud, Azure, or AWS architecture. Experience with modern data analytics platforms (Snowflake, Oracle Analytics Cloud). Experience in Agile/Hybrid project delivery methodologies. More ❯

presenting trends and findings for broad audiences Desirable Experience Creating and using numerical models and solving optimisation problems Tableau Certified Use of cloud-based data tooling e.g. AWS S3, Snowflake Working knowledge of Spanish Use of specific analytical tools: Tableau, SQL, Python, Business Objects If you would like to hear more, please do get in touch. Alternatively, you can refer More ❯

accounting principles, and supply chain management. Hands-on experience in NetSuite customisations, including SuiteFlow, SuiteAnalytics, and saved searches. Experience integrating NetSuite with other business tools such as Power BI, Snowflake, or CRM platforms. Strong data management skills, including SQL, data migration, and validation. Ability to work cross-functionally, translating finance and business needs into system solutions. Excellent problem-solving skills More ❯

to translate client requirements into engineered, scalable systems Preferred Skills and Experience Certifications across AWS, Azure or Google Cloud Proven experience with data and AI platforms such as Databricks, Snowflake, Fabric or Elastic Prior involvement in digital transformation or AI native product development within enterprise settings Experience with graph theory, knowledge representation or distributed systems Contributions to technical or academic More ❯

is strongly preferred. Hands-on experience with SQL and strong understanding of query execution, indexing strategies, partitioning, and performance tuning. Experience working with databases such as ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or other columnar databases. Understanding of modern data infrastructure: data lakes, ETL pipelines, CDC and data orchestration frameworks. Demonstrated ability to work with engineering on low-level technical More ❯

to hear from you. How You Will Make an Impact Build & Evolve Data Assets – Develop and maintain robust SQL-based data structures in BigQuery (with some legacy systems in Snowflake) to create scalable marketing data products. Enhance Marketing Campaigns – Transform complex business data into clear, actionable insights that improve campaign effectiveness. Understand the End User – Anticipate how marketers, analysts, and More ❯

a client who have created two positions at different levels to be a key part of an exciting transition: the organisation is moving its data warehouse from Netezza to Snowflake , and building an in-house data engineering capability for the first time. If you want to help shape a modern data platform, support critical migrations, and work closely with BI … Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts clearly. A collaborative approach—this team values people who work with others, not … working in agile environments. You’ll help build a new in-house data engineering capability as outsourcing is phased out - You’ll play a key role in a strategic Snowflake migration project. You’ll collaborate closely with a newly restructured analytics team working toward a unified data-driven strategy. If you want to help shape a modern data estate and More ❯

a client who have created two positions at different levels to be a key part of an exciting transition: the organisation is moving its data warehouse from Netezza to Snowflake , and building an in-house data engineering capability for the first time. If you want to help shape a modern data platform, support critical migrations, and work closely with BI … Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts clearly. A collaborative approach-this team values people who work with others, not … working in agile environments. You'll help build a new in-house data engineering capability as outsourcing is phased out - You'll play a key role in a strategic Snowflake migration project. You'll collaborate closely with a newly restructured analytics team working toward a unified data-driven strategy. If you want to help shape a modern data estate and More ❯