1 to 25 of 72 Snowflake Jobs in the South East

problem-solving skills and attention to detail. Excellent communication skills and a collaborative mindset. Nice To Have Experience with Python for data transformation, scripting, or automation tasks. Familiarity with Snowflake or other modern cloud data warehouses. Exposure to investment management, financial services, or regulated environments. Understanding of data modelling, governance, and best practices in data architecture. Company Market leading financial More ❯

training materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks More ❯

training materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks More ❯

tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer More ❯

use cases Implement CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects Collaborate with architects, analysts More ❯

Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and document scalable, reliable data models Comfortable gathering business requirements and translating More ❯

ideally within fintech or cloud-native organisations (AWS preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and ability to More ❯

use of machine learning. Key Focus Areas Own and execute enterprise data strategy Build and lead a multi-disciplinary data & AI team Drive modern data platform development (dbt, Airflow, Snowflake, Looker/Power BI) Deliver business-critical analytics and reporting Support responsible AI/ML initiatives Define data governance, privacy, and compliance frameworks What We're Looking For Proven data More ❯

effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting-edge More ❯

. Experience with data lakes/lakehouses (Databricks, Unity Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation More ❯

goals. What We're Looking For Must Haves Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data warehousing and database design Awareness More ❯

Engage stakeholders and oversee technical delivery across Agile projects Skills & Experience: Proven experience as a Lead Data Solution Architect in consulting environments Expertise in cloud platforms (AWS, Azure, GCP, Snowflake) Strong knowledge of big data technologies (Spark, Hadoop), ETL/ELT, and data modelling Familiarity with Python, R, Java, SQL, NoSQL, and data visualisation tools Understanding of machine learning and More ❯

technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data 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 ❯

a related role Proficient in SQL, Python or R, and experienced with BI tools such as Tableau. Strong analytical, structured, and critical thinking skills. Familiar with data warehousing concepts (Snowflake, AWS). Excellent attention to detail and proficiency in MS Office Suite. A proactive self-starter with strong time and task management skills. Eagerness to learn and adapt to new More ❯

or financial services industry Strong background in operational reporting, KPI development, and performance tracking Advanced knowledge of BI tools (e.g., Power BI, Tableau) and data platforms (e.g., SQL Server, Snowflake) Excellent leadership, stakeholder management, and communication skills The interview process Our interview process involves the below: Recruiter screening call Initial interview with hiring leader 2nd interview with hiring leader's More ❯

a related role. Proficient in SQL, Python or R, and experienced with BI tools such as Tableau. Strong analytical, structured, and critical thinking skills. Familiar with data warehousing concepts (Snowflake, AWS). Excellent attention to detail and proficiency in MS Office Suite. A proactive self-starter with strong time and task management skills. Eagerness to learn and adapt to new More ❯

transformation. Familiarity with data governance frameworks, including stewardship, ownership, and quality monitoring. Proficiency in SQL, Excel, python and data visualisation tools (e.g., Power BI, Tableau). Experience working with Snowflake would be advantageous Familiarity with Salesforce data models (leads, opportunities, contacts and accounts) Understanding of data privacy regulations (e.g., GDPR) and data protection impact assessments (DPIAs). Strong communication skills 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 ❯

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 ❯

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 ❯

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 ❯

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, a strong understanding of data structures and data modelling is key, and hands-on skills in SQL would be a 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, a strong understanding of data structures and data modelling is key, and hands-on skills in SQL would be a 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, a strong understanding of data structures and data modelling is key, and hands-on skills in SQL would be a More ❯