12 of 12 Snowflake Jobs in the Thames Valley

levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating a More ❯

strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc, Informatica More ❯

Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation More ❯

into constituent parts and delve deep into overlooked issues Fluency in SQL and the ability to query and transform large volumes of data (billions of rows) using tools like Snowflake Experience with BI tools such as Tableau or Looker and the ability to create highly accessible, digestible visualizations and dashboards Excellent communication and presentation skills, with the ability to effectively More ❯

the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written, with the ability to control communication flows; Client facing experience is an advantage. Numerate and analytical, comfortable with advanced mathematical and statistical concepts More ❯

complex calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards More ❯

methods Experience in smaller, fast paced and agile environments Excellent communicator able to influence and lead the broader data strategy Acquisition integration (nice to have) Tech Stack: Power BI, Snowflake SaaS environments (nice to have) Venture Capital or Private Equity (nice to have More ❯

translate data requirements into actionable workflows. Requirements: Exceptional data analysis skills with proficiency in Databricks, SQL, and Python. Hands-on experience with cloud analytics platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar). Excellent communication and teaching abilities; comfortable supporting non-technical users. Ability to create clear documentation, walkthroughs, and training materials. Proactive, collaborative, and user-focused mindset. Working for More ❯

fantastic opportunity to join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT, and Azure DevOps Ensure solutions are GDPR-compliant and aligned with business and technical requirements Lead Agile delivery within Scrum teams, translating user stories into actionable engineering … engineers, fostering a culture of learning and excellence Ideal Candidate Profile Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps Familiarity with cloud platforms, streaming technologies, and dimensional data modelling (Kimball) Strong understanding of Agile methodologies (Scrum/Kanban) and More ❯

Integration Engineer Mainly Remote (monthly meet ups with team) Outside IR35 Experienced Integration Engineer needed to help design and develop data integration solutions using Informatica IPaaS and Snowflake data Lakehouse You will Design, develop and implement ELT & ETL pipelines and workflows using Informatica PowerCenter and Informatica Cloud. Build connectors from multiple sources including Cloud platforms, bespoke and out of the … Informatica ELT & ETL development and integration solutions using Informatica as an IPaaS. SQL and relational databases (e.g., Oracle, SQL Server, PostgreSQL). Cloud based data storage solutions such as Snowflake and data lakehouse Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data integration. Strong understanding of data warehousing concepts, dimensional modelling and medallion architecture. Building production-grade More ❯

Integration Engineer Mainly Remote (monthly meet ups with team) Outside IR35 Experienced Integration Engineer needed to help design and develop data integration solutions using Informatica IPaaS and Snowflake data Lakehouse You will Design, develop and implement ELT & ETL pipelines and workflows using Informatica PowerCenter and Informatica Cloud. Build connectors from multiple sources including Cloud platforms, bespoke and out of the … Informatica ELT & ETL development and integration solutions using Informatica as an IPaaS. SQL and relational databases (e.g., Oracle, SQL Server, PostgreSQL). Cloud based data storage solutions such as Snowflake and data lakehouse Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data integration. Strong understanding of data warehousing concepts, dimensional modelling and medallion architecture. Building production-grade More ❯