26 to 50 of 311 Permanent Snowflake Jobs

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 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 ...

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 ...

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 ...

management experience preferred). Proven Python experience, including data processing, APIs, or service-based architecture. Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows. Experience with cloud-native development (AWS) and containerized environments. , Experience with CI/CD, DevOps practices, and automated testing. ...

engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands ...

engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands ...

engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands ...

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 ...

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 ...

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 ...

BI. Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms. Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory. An understanding of data governance, data lineage and data quality principles. The ability to work collaboratively with stakeholders to translate business ...

Skills: Strong Python and SQL skills, with experience building production-grade data pipelines • Data Platform Experience: Hands-on experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments (preferably AWS) • Engineering Best Practice: Knowledge of CI/CD, testing, version control and infrastructure as code • Data Quality & Governance ...

analytics or data engineering experience \n Experience modeling and transforming data using tooling such as dbt Experience with cloud data warehouses such as Snowflake or Databricks Experience in building ML features Any experience in real time streaming tools and frameworks, e.g. Apache Flink, is a plus Any experience evaluating ...

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 ...

problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple ...

problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple ...

problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple ...