1 to 25 of 253 Snowflake Jobs in the UK

orchestration (Kubernetes, Docker). Certifications & Tools Familiarity with data visualisation and UI tools (Power BI, PowerApps, Tableau). Experience with modern data platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and experience with cloud‐native data engineering tools (e.g., ADF, AWS Glue, GCP Dataflow). Other Requirements Minimum ...

skills. Experience designing modern Lakehouse architectures. Experience working with cloud platforms including AWS, Azure or GCP. Experience with modern data warehousing technologies such as Snowflake, Redshift or BigQuery. Experience with orchestration tools such as Airflow or Databricks Workflows. Previous experience working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka ...

Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, GCP Vertex etc. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You’ll receive ...

cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.The Focus Of The RoleAs a Solution Architect with an Azure and Databrick focus, you will be an integral part of our team ...

optimised queries. Experience building and maintaining data models using dbt or similar transformation tools. Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks. Strong understanding of ELT processes and data modelling principles. Experience working with version control tools such as Git. Ability to translate ...

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. ...

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 ...

engineering concepts, including data modelling, ETL/ELT, data pipelines, APIs and cloud‐based data platforms. Experience working with modern data stacks such as Snowflake, BigQuery, Databricks, Azure. Experience with visualisation tools such as Power BI, Tableau, Looker Studio or similar. Ability to translate business requirements into practical data ...

make data trustworthy for technical and non-technical users. Technical Skills: Languages: Python, SQL, C#, Golang, Java, Kotlin, TypeScript, or Rust Data Platforms: BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, MySQL, MongoDB, or other SQL/NoSQL technologies Data Tooling: Airflow, dbt, AWS Glue, Step Functions, Spark, Hadoop, or similar tooling Infrastructure ...

relationships across the bank, establishing a strong peer network and helping to strengthen collaboration.**WORK EXPERIENCE**Essential* Advanced proficiency in databases - SQL Server or Snowflake* Advanced experience with low-code/no-code data engineering/ETL tool, preferably Markit EDM (v19.2 or above), however similar tools such as Informatica ...

experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. #J-18808-Ljbffr ...

intensive platforms Proficiency with cloud data platforms eg AWS, GCP, Azure) and related data services Hands-on experience with multiple data warehouse platforms (e.g. Snowflake, BigQuery, AWS Glue, Azure Data Factory, Data bricks, DataOps) Proficiency in using CI/CD tools and data orchestration tools (eg. Airflow/Luigi) Proven ...

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 ...

/ML data pipelines in a clinical context. Familiarity with HL7 FHIR R4/R5 and modern SMART on FHIR architectures. Experience with Snowflake, Databricks, or Spark at scale. Why Work for Proximie? You will be encouraged to grow in your role, take ownership and gain responsibilities. Generous annual leave. ...

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 ...

multi‐year roadmap.**Preferred Qualifications*** Oracle EPM certifications.* Experience in Agile/Scaled Agile (SAFe) environments.* Familiarity with modern cloud data platforms (Azure, Snowflake, Databricks) and BI/reporting tools (Power BI, Oracle Analytics).* Experience improving Finance transformation—close automation, predictive insights, driver‐based planning.**What Success Looks Like ...

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 ...

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 ...

also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with Infrastructure as Code, ideally Terraform Desirable * Experience with Databricks, Snowflake or BigQuery * Cloud certifications (AWS, Azure or GCP) * Experience mentoring junior engineers or working in a consulting environment This is an excellent opportunity to work on complex ...

Experience with data cataloguing tools, SQL for data validation and analysis, and familiarity with data visualisation tools and cloud‐based data platforms. Knowledge of Snowflake, Azure, Databricks and PowerBI. Track record translating complex data requirements into technical specifications in financial services and/or life operations. Ability to translate technical ...

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 ...

intelligence platforms (Looker, dbt Semantic Layer, AtScale); Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search); Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner); Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan); MCP (Model Context Protocol) for agent‐data connectivity. Agent & AI Systems ...

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 ...