1 to 25 of 168 Snowflake Jobs in the UK

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 ...

wider data community 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 ...

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 ...

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

Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding of data ...

data architecture engagements from discovery through to implementation and optimisation Design and deliver enterprise-scale data platforms across Microsoft Fabric, Azure, AWS, Databricks and Snowflake Define data architecture roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning ...

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 ...

equivalent. Experience scaling data science or analytics capability within a team or function. Exposure to cloud‐based data platforms or modern data ecosystems (e.g. Snowflake, AWS, Azure). Experience applying AI/GenAI techniques in a business context, including automation of insight generation or decisioning. Strong understanding of data governance ...

with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong ...

with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong ...

with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong ...

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 ...

workflows Skills and experience you need as the Senior Data Engineer: 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 ...

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 ...

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 ...

ACCA, or ACA. SQL and Data Modelling: strong SQL skills and experience building and maintaining data models in a modern cloud data warehouse (BigQuery, Snowflake, Redshift, or Databricks). Financial Expertise: solid understanding of accounting principles and financial reporting, with the ability to implement finance logic accurately in data systems. ...

Snowflake Developer Hybrid - London 6-month contract (Potential Extension) The Opportunity: We are seeking a hands-on Senior Data Warehouse Developer with 10-12 years of experience to design and implement scalable, high-performance data pipelines. You will collaborate with a cross-functional team of architects and analysts to optimize … optimize scalable ETL/ELT workflows and data pipelines for structured and semi-structured datasets (exposure to policy/insurance data preferred). Snowflake Innovation: Drive CDC-based incremental processing using Snowflake Streams, Tasks, Snowpipe, Dynamic Tables, and Stored Procedures. Data Modeling: Design robust fact, dimension, and star schema models ...

implementation, remediation and advisory work - Partner with senior client leadership - Translate technical requirements into business outcomes Tech environment: Azure/AWS/GCP · Databricks · Snowflake · Power BI · Python · SQL · Jira · Confluence · Agile/SAFe What you'll bring: - Track record delivering large-scale data or AI programmes - Strong stakeholder ...

automation testing for Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling ...