26 to 50 of 285 Remote Snowflake Jobs

Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/or significant consulting background with evidence of effective stakeholder management to address business challenges 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 ❯

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 ❯

6+ years of experience in data engineering within large-scale digital environments. Strong programming skills in Python, SQL, and Spark (SparkSQL) . Expertise in Snowflake and modern data architectures. Experience designing and managing data pipelines, ETL, and ELT workflows . Knowledge of AWS services such as Athena, Glue, and EMR. 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 ❯

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 ❯

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 ❯

mentoring or supporting the development of team members. Azure SQL DB, Data Factory, Data Lake, Logic apps, Data Bricks (Spark SQL) and/or Snowflake experience is advantageous. More ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

Equity Derivative business. Cloud Technologies: Experience with cloud platforms like Azure or AWS. Cutting-Edge Tech: Familiarity with technologies such as Kafka, IBM MQ, Snowflake, or high-performance data caching solutions. Interview Process (3 Rounds) 1st Round Peer to Peer Coding 2nd and 3rd Round Technical Evaluations More ❯

Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure DevOps or 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 ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

Responsibilities ·Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. ·Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and scalability. ·Partner with product and engineering teams to define data architecture and best practices for reporting. ·Ensure data security, compliance More ❯

Responsibilities Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and scalability. Partner with product and engineering teams to define data architecture and best practices for reporting. Ensure data security, compliance More ❯

Experience working in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and More ❯

Proven expertise in cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. In-depth knowledge of cloud-native data services (eg, Databricks, Snowflake, Microsoft Fabric, AWS Redshift). Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes . Experience with data integration tools (eg More ❯

in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including More ❯

in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or optimisation algorithms in production environments. Have a solid understanding of digital marketing and marketing analytics, including More ❯

Knowledge of the Equity Derivative business. Experience with cloud offerings (Azure/AWS). Some experience of technologies such as MongoDB, Kafka, IBM MQ, snowflake or other leading edge high performant data and caching technologies would be helpful. Rewards & Benefits TCS is consistently voted a Top Employer in the UK More ❯