51 to 75 of 87 Snowflake Jobs in the South East

in data architecture, including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity More ❯

in data architecture, including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity More ❯

in data architecture, including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity More ❯

in data architecture, including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity More ❯

high, even during challenging times The Desirable Tools, Systems & Platforms you may have used are: Jira, Confluence, Visio, Lucid, PowerPoint, SQL, Cloud Platform knowledge (such as GCP, AWS, Azure, Snowflake) Are you ready to embark on an exciting adventure as our Scrum Master/Business Analyst Extraordinaire? Apply now and let your superhero skills shine! If you don't fit More ❯

and Agile methodologies, Infrastructure-as-Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES REQUIRED FOR More ❯

Data Solution Architect - SnowFlake, CI/CD, Azure Devops Hybrid/Remote Up to £1000 per day (Inside IR35) 6-Month Contract I am currently partnered with a leading market Insurance company, who urgently requires a Data Solution Architect who comes from a background in Data Engineering to work on a business-critical project. Must-haves for the role: Previous … hands-on experience working as a Data Solution Architect in a large enterprise-scale environment. Background as a Data Engineer/Software Developer Expertise with SnowFlake with hands-on experience of data modelling Working experience in Automation of CICD pipelines Experience in Azure Devops Nice to have Immediate availability Working background in Insurance markets Ability to travel multi-site when More ❯

in a Senior Data Engineering role. Comfortable owning and delivering technical projects end-to-end. Strong in Python, SQL, and cloud platforms (AWS or comparable). Experience with Airflow, Snowflake, Docker (or similar). Familiarity with coaching and mentoring more junior engineers, leading 1-1s and check ins. Wider tech stack : AWS, Python, Airflow, Fivetran, Snowflake, Looker, Docker. What More ❯

migration project Contract info Data Analyst 6-month initial contract 1x per month in London office INSIDE IR35 Technical info Tableau/Power BI Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online 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 ❯

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 ❯

this position Looking for someone interested in building a long-term career with the business Desirable (but not essential): Experience with ETL processes or data transformation tools Familiarity with Snowflake, Power BI, or ERP systems like Syspro Knowledge of Python or version control (Git) Awareness of data warehousing concepts This is a fantastic opportunity for someone who wants to take More ❯

and the ability to connect technical data concepts with strategic business outcomes. Hands-on expertise in business intelligence tools (such as Power BI), cloud-based data platforms (e.g. Azure, Snowflake), and SQL. Strong understanding of data governance best practices, with experience building data frameworks that scale. Experience working with Agile methodologies and cross-functional teams including Marketing, Digital, and IT. More ❯

an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow/ADF Optional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or More ❯

Zero-trust architecture, FCA compliance, and financial-grade security protocols Technical Stack You'll Lead AI/ML: TensorFlow, PyTorch, MLflow, NVIDIA Triton, custom financial LLMs Data: Kafka, Flink, Snowflake, ClickHouse, Neo4j, vector databases Backend: FastAPI, GraphQL, microservices, Docker, Kubernetes Frontend: React/Next.js, TypeScript, real-time dashboards, mobile apps Cloud: AWS/Azure multi-cloud, Terraform, DataDog monitoring Fintech More ❯

schema changes, and ensure accurate downstream calculations Translate investment logic into efficient, production-grade Python code Optimise performance of existing quant models and analytics Manage and enhance data workflows – Snowflake, AWS, Python Liaise daily with investment professionals to understand requirements and deliver solutions What we’re looking for: Strong Python developer with deep experience using statistical and numerical libraries (NumPy … pandas, SciPy etc.) Proven experience supporting quant or systematic investment strategies Good understanding of infrastructure – ideally AWS and Snowflake – and willingness to own setup and tooling Comfortable working in fast-paced front office environments with direct exposure to the investment team Detail-oriented, pragmatic, and able to work independently Initial 6-month contract with long-term scope. Hybrid working model More ❯

the end-to-end data strategy, optimising infrastructure, reporting and decision analytics. Role overview: In this hands-on role, you will develop and maintain a modern data infrastructure, including Snowflake data lake, Informatica for MDM & DQ and Power BI. Ensure infrastructure is scalable and data quality is maximised in line with DAMA’s framework Partner with the CFO and Director … organisation. Extensive knowledge of data governance, quality, and master data management (MDM) frameworks, including DAMA principles (DAMA-DMBOK). Hands-on technical ability across a modern data architecture, including Snowflake, Power BI and Informatica, or another ELT toolset (E.g., Talend, Fivetran). Experience implementing a data strategy and data governance frameworks. If this seems of interest or you know someone More ❯

Guiding the full lifecycle of a BI solution, including requirements impact analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Proficiency in tools such as Snowflake, DBT, Glue, and Airflow, you will help define the technical strategy and ensure scalable, high-performing data architecture Your Profile Essential skills/knowledge/experience: Extensive experience as Solution … Designer. Currently working on Data Lake (Big Data) based projects. Experience in Snowflake, DBT, Glue, Airflow. Ability to demonstrate structured consideration of multiple options, comparing competing technologies, and different functional design approaches e.g., Produce a KDD. Ability to present and discuss competing options and make recommendations to key stakeholders. Good understanding of Data Lake and Big Data technologies. Good understanding More ❯

or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g., Snowflake). SQL Server 2016+ with Excellent T-SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. More ❯

ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) Power BI Development including the data model, DAX, and visualizations If you are interested in this Data anlyst More ❯

performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to iterative product development. Bonus More ❯