1 to 25 of 243 Snowflake Jobs in the UK

/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. Understanding of key data architecture methodologies ...

with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

nExperience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS).\ N\n\n \ NCertifications & Tools\ N\n\nExposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar).\ N\n\nCloud certifications (AWS, Azure, GCP) are beneficial but not required.\ N\n\n \ NOther Requirements\ N \n\n\ NMinimum ...

pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience ...

data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data quality, and data security Excellent stakeholder management and communication skills Desirable Skills Data strategy development Python or similar programming ...

Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) \n Strong SQL skills and experience with ...

optimisation Experience with data governance, security, and regulatory compliance Hands-on experience with ETL processes, data warehouses, and cloud platforms (e.g. AWS, Azure, GCP, Snowflake) Ability to communicate technical concepts clearly to non-technical stakeholders Desirable: Experience with data visualisation tools (e.g. Power BI, Tableau) Familiarity with metadata management ...

processes, tools and best practices across the wider data community. Key Requirements Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation. ...

hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls ...

Azure)\ NExperience with large-scale distributed data processing and performance tuning\ NHands-on experience with modern data warehousing/lakehouse technologies (e.G., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)\ NStrong SQL skills and experience with SQL-based ...

environment \n Working with data from multiple systems and structures and at different velocities including near real time \n Strong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisation \n Advanced SQL development including query development and optimisation, stored procedures, and performance tuning \n Expert knowledge ...

data-intensive environment\ NWorking with data from multiple systems and structures and at different velocities including near real time\ NStrong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisation\ NAdvanced SQL development including query development and optimisation, stored procedures, and performance tuning\ NExpert knowledge ...

emerging data technologies, products and delivery approaches Familiarity with cloud platforms such as Azure, AWS or GCP, alongside technologies including Databricks, Snowflake, Power BI, Hadoop, SQL and Python Experience working with delivery methodologies including Agile, SAFe and Waterfall Strong proficiency with tools such as Jira, Confluence and Planview A proactive ...

tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power ...

migrations Expert-level SQL/T-SQL with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines ...

Proficiency in SQL and Python, or equivalent scripting languages used in data engineering. Experience with cloud data platforms and orchestration tools such as GCP, Snowflake, Airflow or Azure Data Factory. Good understanding of data modelling, data warehousing and integration patterns. Experience embedding data quality, validation and lineage controls into engineering ...

platforms such as AWS, GCP or Azure, ensuring ethical, legal and regulatory compliance. Hands on experience with ML tooling and infrastructure such as MLflow, Snowflake, Databricks, SageMaker or Azure Machine Learning and automation tools (e.g., Terraform, Python). Experience of CI/CD pipelines and source control systems ...

Skills & Experience Strong commercial experience in analytics engineering or working closely with data analytics teams Advanced SQL skills within modern data platforms such as Snowflake, BigQuery, or Databricks Experience building and automating data pipelines and workflows Working knowledge of dbt for data transformation Proficiency in Python for data manipulation ...

transformation programmes. Skills & Experience Essential Significant experience designing and delivering enterprise data warehouse, lakehouse, or analytics platforms. Strong experience with technologies such as BigQuery, Snowflake, Databricks, and Azure Synapse Analytics. Google Cloud Platform (GCP) experience highly desirable Deep understanding of data architecture principles and scalable solution design. Expertise in data ...

Skills & Experience Enterprise Platform Delivery : 3+ years of experience managing the delivery of large-scale cloud data platforms (e.g., utilizing Databricks, Azure, AWS, or Snowflake environments) Agile Project Leadership: Proven background acting as a Delivery Lead, Scrum Master, or Technical Product Owner for high-performing engineering and data architecture teams ...

experience in Analytics Engineering or a similar data-focused role. Strong SQL skills and experience working with modern cloud data platforms such as Databricks, Snowflake, or BigQuery. Experience building and automating data pipelines and transformation processes. Familiarity with dbt (Cloud or Core). Working knowledge of Python. Experience delivering data ...

Experience with tooling such as Jira, Confluence or similar platforms ·Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

Experience with tooling such as Jira, Confluence or similar platforms ·Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

data issues. Required Skills & Qualifications: Strong experience in delivering cloud data solutions, preferably in Microsoft Fabric or Azure. Experience with other platforms like AWS, Snowflake, or Databricks is also beneficial. Hands-on expertise with Data Factory (Fabric or Azure), notebooks (Python, PySpark), advanced SQL, and robust data modelling and performance ...

Examples of commonly seen platforms may include: Guidewire Duck Creek Sequel Verisk Xuber Eurobase Salesforce ServiceNow Power BI/Tableau Azure/AWS/Snowflake-based data platforms Good to Have Skills Experience with Lloyd’s Blueprint Two/London Market modernisation initiatives. Knowledge of ACORD messaging, market messaging ...