1 to 25 of 109 Remote/Hybrid Permanent Snowflake Jobs

Strong understanding of lakehouse architectures, ETL/ELT design, and distributed data storage Hands-on experience with Microsoft Fabric, Databricks, or Snowflake Proficiency in SQL, Python, and enterprise data modeling (Kimball, Data Vault, or 3NF) Familiarity with data governance, security models, and compliance frameworks (e.g., GDPR, HIPAA) Experience with ...

data and ML environments. Certifications & Tools Familiarity with data visualization and UI tools (Power BI, PowerApps, Tableau). Experience with data science platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and cloud-native data engineering tools (Azure Data Factory, AWS Glue, GCP Dataflow). Other Requirements Minimum 8 years ...

data and ML environments. Certifications & Tools Familiarity with data visualization and UI tools (Power BI, PowerApps, Tableau). Experience with data science platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and cloud-native data engineering tools (Azure Data Factory, AWS Glue, GCP Dataflow). Other Requirements Minimum 8 years ...

ability to communicate technical concepts to non-technical stakeholders Preferred Qualifications Experience with containerization and orchestration tools (Docker, Kubernetes) Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery) Familiarity with MLOps practices and model deployment pipelines Experience in Agile or Scrum environments Why Join Us? Hybrid flexibility with a modern office ...

cloud, e.g. Azure (preferred), AWS or GCP. Experience working with and manipulating structured & unstructured data. Experience working with modern data platforms e.g. Fabric, Snowflake, Databricks . Web application design and build. Experience using Data Visualisation tools such as Power BI. An understanding of the broader data ecosystem, including data modelling ...

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 platforms. Experience working with large datasets from different sources. Good communication and teamwork skills. Experience with cloud data platforms such as Databricks or Snowflake on AWS. Strong skills in Python, PySpark, and SQL. Good understanding of ETL/ELT pipelines and data transformation. Experience with data modelling and database ...

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 ...

Airflow, Dagster, Prefect, or similar Hands-on experience with transformation frameworks such as dbt or Spark Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks Strong understanding of data modeling principles across analytical and operational systems Experience with monitoring and data quality tooling Familiarity with CI/ ...

using prompt engineering, embeddings, and evaluation techniques Build AI solutions for document processing, compliance, and banking chatbots Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud platforms Implement batch and real-time data processing with structured and unstructured data Deploy solutions on cloud with CI/CD, MLOps tools ...

exploration or automation Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI). Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, lakehouse architectures). Experience with predictive or prescriptive analytics beyond basic forecasting. Exposure to automation or orchestration tools for analytics pipelines. Key Performance Indicators (KPIs ...

readiness Recommend improvements to data architecture based on performance feedback Minimum Qualifications Skilled in SQL, relational databases, and cloud-based data storage (Azure, AWS, Snowflake) Capable of documenting repeatable data workflows and integration protocols Have extraordinary communication skills. Comfortable reading and understanding data transformation scripts written in Python written ...

Experience working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

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 ...

definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech ...

modern data stack. Advanced SQL capability, including complex transformations, window functions, and performance optimisation. Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery. Deep understanding of dimensional modelling techniques and tools such as dbt. Hands-on expertise with enterprise BI platforms, such as Power BI, Looker ...

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 ...

exploration or automation Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI). Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, Lakehouse). Experience with predictive or prescriptive analytics beyond basic forecasting. Exposure to automation or orchestration tools for analytics pipelines. ...

Experience in the following areas: Maintaining code/scripts in TFS for multiple environments Cloud technology like Microsoft Azure. Data Technologies like MongoDB, NoSQL, SnowFlake, DataBricks. DBA activities like database backup and restore. Hands on working experience in Linux/Unix Environment. XML Web Services Knowledge of financial/banking ...

desire and interest in helping us, and our clients, grow their businesses Experience and certifications in other modern data stack tools such as Fivetran, Snowflake, Segment, Airbyte etc Based in Sussex or South-Eastern England What Success Looks Like as a Senior Analytics Consultant Client Leadership You lead technical discussions ...

Asset Management, or Wealth Management environments* Expertise across enterprise data architecture, data modelling, governance, and modern cloud data platforms* Experience with technologies such as Snowflake, Databricks, Microsoft Fabric, Bloomberg, MSCI, Refinitiv, Charles River, or similar ecosystems* Proven ability to lead complex transformation engagements and manage senior stakeholder relationships* Strong consulting ...

building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering ...

building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering ...