1 to 25 of 94 Snowflake Jobs in the UK excluding London

/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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

structures Your Skills and Experience Strong commercial experience working with large datasets and delivering insight Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery Experience building and automating data pipelines and transformations Familiarity with dbt for data modelling and transformation workflows Working knowledge of Python ...

Master's degree in Computer Science, Engineering, Data Science, or a related field is preferred. Required Technical Skills Proficient in Python programming. Experienced with Snowflake and SQL. Skilled in Microsoft Power Platform (Power BI, Power Apps, Power Automate). Experience working with CRM data, preferably Salesforce. Strong understanding of data ...

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 ...

communication and consulting skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous ...

communication and consulting skills, with the ability to operate at board and C-suite level - Familiarity with technologies such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, and SQL - Experience working within Agile or SAFe delivery frameworks; proficiency with Jira and Confluence is advantageous ...

driven solutions. Skills and experience you need as Analytical Engineer: 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 Proven experience ...

organisation’s enterprise data landscape. Experience within a regulated industry (e.g. utilities, finance, defence). Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks). Strong data modelling expertise. Comfortable working through ambiguity and able to communicate architectural decisions at a senior level. Apply now to speak with ...

coding and data practice standards Experiment with emerging data, ML and AI technologies What you'll need: Strong Python, PySpark, SQL and Databricks or Snowflake experience AWS cloud data engineering expertise Experience building scalable batch and real-time data pipelines Airflow, CI/CD, Git and modern engineering practices Knowledge ...

agile squads. Supporting ML and GenAI infrastructure and workflows. Key Requirements Passion for building scalable, resilient cloud data platforms. Strong experience with Databricks or Snowflake on AWS. Proven Python skills, including Spark and Airflow expertise. Advanced SQL skills and end-to-end data modelling experience. Experience building batch and real ...

Financial services experience • Understanding of investment or wealth management products • Experience establishing governance functions within organisations undergoing data transformation • Microsoft Azure or Fabric certifications • Snowflake experience and related certifications This role would suit an experienced Data Architect, Enterprise Data Architect, Data Governance Architect, Head of Data Governance, Data Strategy Lead ...

Programming experience in Python Skills and experience we'd love you to have... But if not? We'll help you get there: Experience with Snowflake or similar cloud data warehouses Familiarity with BI tools and how semantic/metric layers integrate with them (e.g. Omni, Tableau, Looker) Exposure ...

engineers, data scientists, analysts, developers, architects and product teams to support analytics, machine learning and wider data-driven projects. Relevant experience includes: • Databricks or Snowflake, ideally within AWS • Python, PySpark and SQL • ETL pipelines and data transformation • End-to-end data modelling • DBT, SparkSQL, Airflow, Git, Jenkins or similar tools ...

data engineers, data scientists, analysts, developers, architects and product teams to support analytics, machine learning and wider data-driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools ...