26 to 50 of 161 Snowflake Jobs in the UK excluding London

Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling … SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯

ll collaborate with cross-functional teams to deliver high-impact solutions that drive business value. Requirements: Experience as a Data Engineer using AWS: Glue, Lambda, S3, Redshift, Athena, EMR. Snowflake experience (Not essential) Strong Python SQL & NoSQL databases CI/CD tools : GitHub Actions or CodePipeline Infrastructure as Code (Terraform is preferable) Experience building ETL/ELT pipelines Familiarity with 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 ❯

testing including unit, performance, stress, and security testing.Experience working in an agile team.Experience working in a highly regulated industry and with highly sensitive data.Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.Experience in data science using R, Stata, or Python.Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket.Understanding of clinical trials, GCP, and GxP.What More ❯

performance, stress, and security testing. Experience working in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials 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 ❯

at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's More ❯

Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about More ❯

in data modelling, storage and retrieval Collaborating with stakeholders to ensure alignment between technical solutions and business objectives Leading on the integration of cloud platforms and modern tooling (Azure, Snowflake, Matillion etc.) Coaching and mentoring engineers to elevate capability across the team Ensuring data governance, privacy and security standards are embedded into all solutions Troubleshooting and optimising data infrastructure performance … or leadership role Proven experience designing and delivering end-to-end data pipelines Strong experience with Azure cloud services and security concepts (Key Vault, ACLs, RBACs) Hands-on with Snowflake, Matillion, and a range of modern data tools Programming expertise in Python, Java or SQL Solid knowledge of relational and NoSQL databases Excellent communication skills able to translate technical concepts 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 ❯

Sisense, Power BI, Streamlit). Technical Skills Experience with ETL processes and APIs for data integration. Understanding of statistical methods and data modelling techniques. Familiarity with cloud platforms like Snowflake is advantageous. Knowledge of data governance frameworks and data security protocols. Soft Skills Exceptional attention to detail and problem-solving capabilities. Strong communication skills, able to translate complex insights for More ❯

process to anyone that needs them. Time Type: Full time Job Area: IT Locations: Angel Court, London, Bupa Place, Staines - Willow House Similar Jobs (1) Senior Data Platform Engineer - Snowflake locations 3 Locations time type Full time posted on Posted Yesterday time left to apply End Date: July 24, 2025 (8 days left to apply) About Us Be at the More ❯

concepts to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope More ❯

concepts to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope More ❯

building strong relationships within the SAP space. Design, architecture and integration You'll be working on SAP datacentric data and analytics solutions, ensuring seamless integration with cloud platforms like Snowflake and Databricks. You'll also be designing efficient data models and ETL processes. Working with SAP data extractors This will include BW extractors and CDS views and table extractors to … dynamic approach to tackling new challenges A strong desire to learn and share knowledge Ideally, you'll also have Certification for at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

visualization tools, such as Tableau. Utilize web development technologies to facilitate application development for front end UI used for risk management actions Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. Interact with business users for resolving issues with applications. Design and support batch processes using scheduling infrastructure for calculation and distributing data to other More ❯

at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's More ❯

with the ability to pivot strategies in response to innovative technologies, insights, or regulatory developments. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Snowflake, Spark). Strong communication skills, with the ability to distil complex data concepts into clear messages for non-technical stakeholders. Excellent stakeholder management and cross functional collaboration skills with the More ❯

advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as Tableau or Power BI Proven track record of developing and implementing machine learning models in a business context Strong analytical and problem-solving More ❯