151 to 175 of 474 Snowflake Jobs in the UK

that are very accurate, these businesses are getting ahead of their competition using this data. This will suit someone with experience of Python, AWS, Snowflake, Terraform, Kubernetes and Tableau. Lead Data Engineer - £90k - West London, Hybrid More ❯

business teams. Candidate Requirements/Profile: Significant enterprise architecture experience in insurance environments. Expertise in application integrations, APIs, and architectural frameworks. Knowledge of Oracle, Snowflake, data lakes, and extensive data warehouses. Strong skills in security, risk management, and compliance. Excellent stakeholder communication and engagement capabilities. Onsite attendance three times weekly More ❯

business teams. Candidate Requirements/Profile: Significant enterprise architecture experience in insurance environments. Expertise in application integrations, APIs, and architectural frameworks. Knowledge of Oracle, Snowflake, data lakes, and extensive data warehouses. Strong skills in security, risk management, and compliance. Excellent stakeholder communication and engagement capabilities. Onsite attendance three times weekly More ❯

data-related issues Must-Have Skills: Strong data analysis and cleaning Power BI and Google Analytics expertise Clear communication of insights SQL, Python, Azure, Snowflake experience Organised and proactive approach Desirable: Automotive or sales background Microsoft/Azure certifications Degree or apprenticeship in data More ❯

data-related issues Must-Have Skills: Strong data analysis and cleaning Power BI and Google Analytics expertise Clear communication of insights SQL, Python, Azure, Snowflake experience Organised and proactive approach Desirable: Automotive or sales background Microsoft/Azure certifications Degree or apprenticeship in data More ❯

data-related issues Must-Have Skills: Strong data analysis and cleaning Power BI and Google Analytics expertise Clear communication of insights SQL, Python, Azure, Snowflake experience Organised and proactive approach Desirable: Automotive or sales background Microsoft/Azure certifications Degree or apprenticeship in data More ❯

data-related issues Must-Have Skills: Strong data analysis and cleaning Power BI and Google Analytics expertise Clear communication of insights SQL, Python, Azure, Snowflake experience Organised and proactive approach Desirable: Automotive or sales background Microsoft/Azure certifications Degree or apprenticeship in data More ❯

datasets Play a key role in shaping future product direction Experience & Skills: Python (Django, REST), SQL/NoSQL, JS AWS (Lambda, DynamoDB, API Gateway), Snowflake, Clean Rooms Amazon Ads API, SP-API, LiveRamp What you get: Flexibility-first hybrid working Private medical + mental health support Bonus scheme + above More ❯

Experiencedelivering data solutions end-to-end (data lakes, data warehouses, database and data modelling) Experience with a diverse range of data products (Fabric, Databricks, Snowflake, etc) Python and SQL experience Data and Business Intelligence Manager Desirable experience: People management experience Experience in an engineering or B2B enterprise scale business If More ❯

Apply strong data manipulation skills using Python, SQL, and visualization tools like PowerBI. Utilize or be familiar with cloud-based platforms such as Azure, Snowflake, and Databricks. Communicate complex analytical findings effectively to both technical and non-technical audiences For more information please apply to this advert. Thanks More ❯

Apply strong data manipulation skills using Python, SQL, and visualization tools like PowerBI. Utilize or be familiar with cloud-based platforms such as Azure, Snowflake, and Databricks. Communicate complex analytical findings effectively to both technical and non-technical audiences For more information please apply to this advert. Thanks More ❯

definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech More ❯

definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech More ❯

have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 5 to 8 years of experience in data More ❯

with star schema and multi-dimensional data modelling Proficiency in SQL, Python, or other languages in data analysis Experience with DBT and/or Snowflake More ❯

their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to More ❯

their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to More ❯

and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in More ❯

and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in More ❯

or software engineering/information technology. Tech-savvy : Proficiency in modern data technologies (e.g., cloud platforms, big data ecosystems, AI frameworks such as Databricks, Snowflake, BigQuery, Microsoft Fabric or similar. All-rounder : Strong knowledge of key CDO/CAIO areas such as AI/Data Governance/Quality/Management More ❯

or software engineering/information technology. Tech-savvy : Proficiency in modern data technologies (e.g., cloud platforms, big data ecosystems, AI frameworks such as Databricks, Snowflake, BigQuery, Microsoft Fabric or similar. All-rounder : Strong knowledge of key CDO/CAIO areas such as AI/Data Governance/Quality/Management More ❯

expertise in Natural Language Processing (NLP). Exceptional problem-solving abilities, attention to detail, and a curious, analytical mindset. Highly desirable: Familiar with AWS, Snowflake A background in intelligence or quantitative social sciences. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and More ❯

is now not looking to do individual contributor work Have worked with SQL in the last 2 years Familiarity with modern cloud data stack (Snowflake, Prefect, Looker, or AWS) Have experience working with senior partners in projects, and other team members business wide. Experience working in a matrix organisation Can More ❯

to access data. Bonus points if you have experience setting up data production environments from scratch, or if you've worked with SQL to Snowflake integrations and Azure. Experience navigating data security challenges, particularly in sensitive industries like healthcare, will also set you apart. You’ll thrive in this role More ❯

to access data. Bonus points if you have experience setting up data production environments from scratch, or if you've worked with SQL to Snowflake integrations and Azure. Experience navigating data security challenges, particularly in sensitive industries like healthcare, will also set you apart. You’ll thrive in this role More ❯