101 to 125 of 654 Snowflake Jobs

stage. A very exciting opportunity! The following skills/experience is required: Strong Data Architect background Experience in Data Technologies to include: Finbourne LUSID, Snowflake, Hadoop, Spark. Experience in Cloud Platforms: AWS, Azure or GCP. Previously worked in Financial Services: Understanding of data requirements for equities, fixed income, private assets More ❯

stage. A very exciting opportunity! The following skills/experience is required: Strong Data Architect background Experience in Data Technologies to include: Finbourne LUSID, Snowflake, Hadoop, Spark. Experience in Cloud Platforms: AWS, Azure or GCP. Previously worked in Financial Services: Understanding of data requirements for equities, fixed income, private assets More ❯

modelling using tools such as Erwin, Power Designer, SQLDBM or Sparx EA. Minimum 10 years experience in using databases such as Oracle, SQL Server, Snowflake or any other OLTP and OLAP databases. Minimum 5 years experience with reporting tools: Power BI, Business Objects, Tableau or OBI. Understanding of Master Data More ❯

backlog management, and stakeholder engagement Experience working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide More ❯

backlog management, and stakeholder engagement Experience working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide More ❯

Python is a bonus. Solid understanding of asset management is essential, particularly Fund Static, ABOR and trades data. Experience working with data warehouses (ideally Snowflake), and tools such as LucidCharts, MS Teams, Power Apps, and Azure DevOps. Strong stakeholder management and communication skills, with the ability to influence and engage More ❯

Responsibilities : 16–18 years' experience in DWBI, Big Data, and Cloud Technologies. Hands-on expertise in at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka More ❯

technologies. Skills and experience required: Minimum of 8+ years' experience in data engineering, with at least 3 years in a leadership capacity. Experience with Snowflake and Matillion preferred. Hands-on experience with large-scale real-time and batch data pipelines. Experience with Azure cloud platform, and security concepts i.e. Keyvault More ❯

Responsibilities : 16–18 years' experience in DWBI, Big Data, and Cloud Technologies. Hands-on expertise in at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka More ❯

Google Cloud Platform, Azure) Experience in containerization technologies and container orchestration ( Kubernetes , OpenShift, Docker, Mesos, etc.) Experience with different distributed technologies (e.g. Spark, S3, Snowflake, DynamoDB, CockroachDB, HDFS, Hive, etc.) Experienced with Java/Go/Python/Scala/other languages Proficiency in English Team Data Reply, as part More ❯

manipulation and automation. Familiarity with cloud environments (AWS, Azure, or Google Cloud) for data infrastructure management. Hands-on experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Excellent analytical skills and a problem-solving mindset, with attention to detail. Experience in procurement, sustainability, or finance is highly valued. English More ❯

manipulation and automation. Familiarity with cloud environments (AWS, Azure, or Google Cloud) for data infrastructure management. Hands-on experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Excellent analytical skills and a problem-solving mindset, with attention to detail. Experience in procurement, sustainability, or finance is highly valued. English More ❯

processing (e.g., Spark, Kafka). Strong experience with cloud data platforms (e.g., AWS, GCP, Azure). Hands-on experience with data warehousing tools (e.g., Snowflake, BigQuery, Redshift). Comfortable with infrastructure-as-code tools and modern DevOps practices. Strong understanding of data governance, security, and compliance. Excellent communication and leadership More ❯

technologies. Skills and experience required: Minimum of 8+ years' experience in data engineering, with at least 3 years in a leadership capacity. Experience with Snowflake and Matillion preferred. Hands-on experience with large-scale real-time and batch data pipelines. Experience with Azure cloud platform, and security concepts i.e. Keyvault More ❯

this role. Knowledge of cloud-based database solutions (AWS, Azure, Google Cloud) is an advantage. Preferred Qualifications: Experience with big data technologies (Hadoop, Spark, Snowflake) is a plus. Certification in database technologies or testing methodologies. Knowledge of scripting languages like Python or Shell scripting for test automation. Work Environment: Hybrid More ❯

this role. Knowledge of cloud-based database solutions (AWS, Azure, Google Cloud) is an advantage. Preferred Qualifications: Experience with big data technologies (Hadoop, Spark, Snowflake) is a plus. Certification in database technologies or testing methodologies. Knowledge of scripting languages like Python or Shell scripting for test automation. Work Environment: Hybrid More ❯

data pipelines and doing transformation and ingestion in a a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling (ERwin, PowerDesigner More ❯

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, Azure, Kubernetes, SQL Server, Snowflake, Jira, Bitbucket, Git, CI/CD, DevOps Engineer, Urgent) I'm recruiting on behalf of a leading FinTech company in Newcastle that is looking for a talented DevOps Engineer to join their growing team. This is a More ❯

meetings and yearly reviews with team members Strong background in hands on software engineering role (e.g., .NET engineer) Experience with MS SQL, Snowflake or equivalent SQL database technology Experience in Continuous Delivery (CI/CD) best practices Experience in applying appropriate automation testing tools and frameworks (Unit, Component, Integration, Feature More ❯

components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data Factory, Azure Synapse, Microsoft Fabric Desire to be client-facing with brilliant communication skills Benefits: Salary up to £60,000 depending on More ❯

components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data Factory, Azure Synapse, Microsoft Fabric Desire to be client-facing with brilliant communication skills Benefits: Salary up to £60,000 depending on More ❯

components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data Factory, Azure Synapse, Microsoft Fabric Desire to be client-facing with brilliant communication skills Benefits: Salary up to £60,000 depending on More ❯

standups, sprint planning, and retrospectives. Stakeholder Interaction: Engage with stakeholders across all departments, including marketing, finance, legal, product, commercial, and operations. Technological Proficiency SQL (Snowflake data warehouse) and Python experience Git Tableau Visual Studio Code Amazon Web Services (S3, Lambda, Glue, API Gateway, Kinesis, IAM) Integrations (Email, SFTP, API, Webhooks More ❯

hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical More ❯

hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical More ❯