76 to 100 of 446 Snowflake Jobs in the UK

meetings and yearly reviews with team members Strong background in hands on software engineering role (e.g., .NET engineer) Experience with MS SQL, Snowflake or equivalent SQL database technology Experience in Continuous Delivery (CI/CD) best practices Experience in applying appropriate automation testing tools and frameworks (Unit, Component, Integration, Feature More ❯

components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data Factory, Azure Synapse, Microsoft Fabric Desire to be client-facing with brilliant communication skills Benefits: Salary up to £60,000 depending on More ❯

components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data Factory, Azure Synapse, Microsoft Fabric Desire to be client-facing with brilliant communication skills Benefits: Salary up to £60,000 depending on More ❯

components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data Factory, Azure Synapse, Microsoft Fabric Desire to be client-facing with brilliant communication skills Benefits: Salary up to £60,000 depending on More ❯

standups, sprint planning, and retrospectives. Stakeholder Interaction: Engage with stakeholders across all departments, including marketing, finance, legal, product, commercial, and operations. Technological Proficiency SQL (Snowflake data warehouse) and Python experience Git Tableau Visual Studio Code Amazon Web Services (S3, Lambda, Glue, API Gateway, Kinesis, IAM) Integrations (Email, SFTP, API, Webhooks More ❯

skills. Desirable Exposure to BI/visualisation tools such as Power BI, Looker, or Tableau. Familiarity with cloud-based data platforms (e.g. AWS, BigQuery, Snowflake). Understanding of API integrations and automated data syncing. Knowledge of inventory forecasting or supply chain data structures. The Role This is a pivotal opportunity More ❯

engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines. Experience working with one or more of Spark, Kafka, or Snowflake My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for More ❯

troubleshooting and tuning. Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc). Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks). Some experience with Python. Grit when faced with technical issues. Comfort and confidence in client-facing interactions. Ability to work both pre and More ❯

in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including More ❯

in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including More ❯

Python. Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Excellent communication skills and experience More ❯

Python. Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Experience communicating with business stakeholders More ❯

Skills Experience in cyber insurance or cyber security. Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena) 100% medical coverage, including out-patient care Life insurance 25+ paid holidays Annual home office stipend Mental and physical health wellness programs like More ❯

in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which More ❯

in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which More ❯

interpretation. Excellent written and verbal communication skills and strong collaboration skills. Knowledge of SQL and experience with Python scripting. Familiarity with AWS services and Snowflake is a plus. Certification in Tableau Server Administration. A growth mindset with a willingness to adapt and continuously learn. Excellent collaboration skills to work with More ❯

. • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google More ❯

SQL, Python, Snowflake, Tableau, Data Science, AWS, Agile Employment Type: Full Time Location: Hybrid (London) Position Roles Senior Data Scientist Who you are As a Senior Data Scientist, you will design and deliver scalable data products, drive pipeline implementation, ensure quality standards, and foster innovation. Collaborate cross-functionally, provide technical More ❯

Contract info Data Analyst 9-month initial contract 1x per quarter in London office INSIDE IR35 Technical info Tableau Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online More ❯

.//Excellent programming skills in Python.//SQL/NoSQL database management systems (PostgresSQL, MongoDB).//Familiar with BigQuery, Snowflake, Firebolt and/or Amazon (preferred).//Ability to work on messy, complex real-world data challenges.//Knowledge of BI Tools More ❯

.//Excellent programming skills in Python.//SQL/NoSQL database management systems (PostgresSQL, MongoDB).//Familiar with BigQuery, Snowflake, Firebolt and/or Amazon (preferred).//Ability to work on messy, complex real-world data challenges.//Knowledge of BI Tools More ❯

you'd bring: Experience architecting & building data pipelines (ETL) Strong Python & SQL skills Knowledge of Storage/DWH solutions Tech stack: Python, SQL, Matillion, Snowflake, Tableau, LLMs (GBT), AWS (no tech essentials outside Python!) Would you like more info? Get in touch for an informal chat More ❯

record building Data Engineering solutions from scratch ✅ Experience with MLOps is a plus ✅ Cloud experience across Azure, AWS, or GCP ✅ Hands-on expertise with Snowflake ✅ Strong understanding of data architectures is a real bonus Why Join? 💡 Be at the forefront of modern data & AI – Work on complex, high-value projects More ❯

record building Data Engineering solutions from scratch ✅ Experience with MLOps is a plus ✅ Cloud experience across Azure, AWS, or GCP ✅ Hands-on expertise with Snowflake ✅ Strong understanding of data architectures is a real bonus Why Join? 💡 Be at the forefront of modern data & AI – Work on complex, high-value projects More ❯

with ETL/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset More ❯