1 to 25 of 46 Snowflake Jobs in the South East

to the data analysis efforts to support Swan's Products modelling and decision-making processes. Develop and maintain complex SQL queries and scripts using PostgreSQL and OLAP database (i.e. Snowflake). Utilise Data Visualization tools (i.e. AWS QuickSight, Power BI, JasperReports, etc) to create and manage reports, data extractions, visualisations and dashboards. Ensure data accuracy and integrity by performing regular More ❯

p/day Key Responsibilities: Designing and maintaining scalable ETL/ELT pipelines . Integrating data from multiple sources into a centralised warehouse (SQL Server, PostgreSQL, or Snowflake). Working with Azure Data Factory and cloud-native tooling for data orchestration. Structuring data models to support Power BI dashboards and reports. Implementing data governance, quality frameworks, and security controls . More ❯

with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands More ❯

in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with More ❯

or equivalent (expired is acceptable) Working knowledge of SQL and data modelling concepts Experience with BI tools (e.g., Power BI, Looker, Tableau) Familiarity with cloud data platforms such as Snowflake, BigQuery, or AWS Redshift Understanding of modern data architecture and APIs Our Offer Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible More ❯

Culture builder, driving continuous improvement and operational excellence. Deep expertise in data compliance frameworks, cost management, and platform optimisation. Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform. Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins). Proven track record in data modelling, batch/real-time More ❯

scalable, efficient, and secure data architecture. Experience with data warehousing, data lakes, ETL processes. Proficiency in logical and physical data modelling. Knowledge of cloud platforms (AWS, Azure, Google Cloud, Snowflake). Excellent communication and stakeholder management skills. Proactive approach to emerging technologies and Microsoft tech stack. More ❯

development teams in financial services Experience working directly with business and front-office stakeholders Track record of designing and delivering high-quality, scalable technical solutions Experience in SQL, Python, Snowflake, and AWS within data-intensive, cloud-based environments Desirable: Specific experience with Aladdin, Murex, Charles River or other major OMS platforms Familiarity with multiple asset classes such as equities, fixed More ❯

Use SQL and Python (Pandas, PySpark) to analyse data, automate workflows, and generate insights. Design and manage ETL/ELT processes, data models, and reporting automation . Leverage Databricks, Snowflake, and GCP to enable scalable reporting and analytics. Partner with leadership to identify opportunities for new tools, automation, and AI-driven improvements. Act as the bridge between Sales and cross More ❯

a small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and More ❯

team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯

4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid working. More ❯

Improving efficiency through automating solutions - Driving AI strategy - Oversee system enhancements and API integrations - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Team management and leading Data Engineers/Developers - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Experience of development More ❯

is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate More ❯

Leading technical pre-sales engagements, including RFP/RFI responses and solution presentations. Designing enterprise-scale data platforms using a variety of cloud platforms including Azure, AWS, GCP, Databricks, Snowflake, and Fabric. Advising senior stakeholders on data strategy, governance, and innovation roadmaps. Overseeing technical workshops and shaping solution blueprints that win new business. Mentoring cross-functional teams and providing technical More ❯

/warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (eg, Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (eg, GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for More ❯

platforms Confident communicator who can collaborate effectively with engineers and explain technical matters clearly to non-technical colleagues Bonus points if you have experience with: Data warehouse platforms like Snowflake Python or similar scripting for tooling and automation DevOps practices (CI/CD pipelines, monitoring, log management) SQL performance tuning and data modelling concepts Please note: My client cannot offer More ❯

and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft Power Platform - Understanding of SDLC - Team management More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering More ❯

Data Engineer (Snowflake & Asset Management) 6 Month Contract London (Hybrid) Via Umbrella Our UK leading Life Insurance client are looking for a Data Engineer to join their team on an initial 6-month contract. Key skills/knowledge required: Proficiency in Python and SQL for data engineering and application development Experience building data pipelines and ETL processes for capital markets … data Hands-on experience with AWS cloud services and Snowflake data platform Experience with cloud-native development patterns and AWS services (Lambda, S3, RDS, etc.) Hands-on experience integrating with OMS platforms (Aladdin, Murex, Charles River, etc.) including data extraction, transformation, and real-time feeds Strong understanding of the capital markets trade lifecycle and order management workflows Strong problem-solving More ❯

business areas Qualifications and Requirements 5+ years in senior data architecture roles with expertise in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies More ❯

solving ability and a track record of meeting deadlines Excellent communication skills for cross-team collaboration Desirable skills (not essential, but a big plus): SSAS, SSRS, SSIS Kafka, MSK, Snowflake, Aurora DB, SNS AWS or Azure database management If you're ready to join a company that challenges limits, delivers excellence, and offers a truly rewarding career path, we want More ❯

with front-end development (React/JavaScript) and DevOps/maintenance tasks. Proficiency in building Agentic systems and multi-agent architectures. ETL and data management experience (Postgres, BigQuery, Azure, Snowflake). Ability to design solutions, validate requirements and anticipate risks independently. Experience coordinating with multiple engineering and product teams. Preferred Qualifications: Experience in graph databases and advanced AI frameworks. Previous More ❯