26 to 50 of 500 Snowflake Jobs

have Experience in the gaming industry Experience with event-driven applications Exposure to CI/CD pipelines and automated testing for data infrastructure Experience with additional data warehouses (BigQuery, Snowflake, etc. More ❯

Strong knowledge of Data Engineering including Data Lakes and Warehouses, experience of Lakehouse and Medallion Data architectures. Proficiency with cloud technologies like Databricks, Azure Data Factory and/or Snowflake (or similar Data Engineering platforms). Strong emphasis on Data Integrity, Accuracy, and Reconciliation principles. Experience of working in a controlled development environment employing relevant software engineering principles, Software Development More ❯

and query optimization 2+ years using Python or similar scripting languages for data science Experience with data processes and building ETL pipelines Experience with cloud data warehouses such as Snowflake, Azure Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ELT solutions with tools like SSIS, Alteryx, AWS Glue More ❯

Prior experience delivering and owning a reporting cycle (monthly or quarterly) with evidence improving processes while maintaining high quality • Strong SQL skills and experience with relational databases (e.g. Postgres, Snowflake, MS SQL) • Familiarity with modern data stack tools including dbt, Prefect and other cloud platforms • Comfortable working with large, complex datasets in a fast-paced, regulated environment • Excellent communication and More ❯

boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking an experienced Senior Snowflake Developer candidate will be responsible for designing, developing, and maintaining our data warehouse solutions on the Snowflake platform. The ideal candidate should also be proficient in SQL and have a … with law, the base salary for this role if filled within Iselin, NJ is $100k - $110k/year & benefits (see below). The Role Responsibilities: Design, develop, and optimize Snowflake-based data warehouse solutions to meet business requirements. Collaborate with stakeholders to gather and analyze data requirements, translating them into technical specifications. Develop and maintain ETL processes using SQL and … SSIS to ensure efficient data integration and migration. Implement data pipelines and workflows in Snowflake to support data analytics and reporting needs. Monitor and tune Snowflake performance to ensure optimal data processing and query execution. Ensure data quality, consistency, and integrity across the data warehouse. Provide technical support and troubleshooting for Snowflake and SSIS-related issues. Stay current with Snowflake More ❯

/remote working and a salary between £50,000 and £70,000. As part of the data engineering team, youll design and deliver scalable data products using technologies like Snowflake, Power BI, Python, and SQL. Your work will enable self-service analytics and support data governance across the business. Key Responsibilities: Develop robust ETL/ELT pipelines and dimensional models More ❯

Azure DevOps . Excellent communication skills and stakeholder engagement capabilities. Nice to Have Familiarity with data visualization tools (e.g., Power BI, Tableau). Exposure to cloud platforms (e.g., Databricks , Snowflake ). Understanding of data governance , lineage , and metadata management . Experience with data cataloguing and quality frameworks . More ❯

Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and document scalable, reliable data models Comfortable gathering business requirements and translating More ❯

ideally within fintech or cloud-native organisations (AWS preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and ability to More ❯

share options Hybrid working - 1 day a week in a central London office High-growth scale-up with a strong mission and serious funding Modern tech stack: Python, SQL, Snowflake, Apache Iceberg, AWS, Airflow, dbt, Spark Work cross-functionally with engineering, product, analytics, and data science leaders What You'll Be Doing Lead, mentor, and grow a high-impact team More ❯

experience with: Cloud platforms (AWS/Azure) Data Engineering (Airflow/DBT, Spark) DevSecOps practices Additional highly valued skills include: Terraform Python/Java AWS/Azure Data Engineering Snowflake/Databricks You may be assessed on key skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology More ❯

Modeling data for a civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong More ❯

Modeling data for a civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong More ❯

practices and procedures within the department. Required Qualifications Bachelor's degree with at least 5 years of experience, or equivalent. In-depth knowledge and expertise in data engineering, including: Snowflake (data warehousing and performance tuning) Informatica (ETL/ELT development and orchestration) - nice to have Python (data processing and scripting) - required AWS (data services such as S3, Glue, Redshift, Lambda More ❯

engineering experience (IaaS ? PaaS), including Infra as Code. Strong SQL skills and proficiency in Python or PySpark . Built or maintained data lakes/warehouses using Synapse , Fabric , Databricks , Snowflake , or Redshift . Experience hardening cloud environments (NSGs, identity, Defender). Demonstrated automation of backups, CI/CD deployments, or DR workflows. Nice-to-Haves: Experience with Azure OpenAI , vector More ❯

meet compliance standards. Mentor: Upskill other platform engineers, data engineers and AI engineers to deliver and build adoption on your team's initiatives Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github More ❯

tools. Understanding of Agile methodologies. Additional Skills Experience mentoring or supporting team development. Knowledge of Azure SQL DB, Data Factory, Data Lake, Logic Apps, Data Bricks (Spark SQL), and Snowflake is advantageous. More ❯

Need to Succeed Strong skills in Python and SQL Demonstrable hands-on experience in AWS cloud Data ingestions both batch and streaming data and data transformations (Airflow, Glue, Lambda, Snowflake Data Loader, FiveTran, Spark, Hive etc.). Apply agile thinking to your work. Delivering in iterations that incrementally build on what went before. Excellent problem-solving and analytical skills. Good More ❯

Technical Skills: Proven expertise in designing, building, and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through More ❯

Technical Skills: Proven expertise in designing, building, and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through More ❯

use of machine learning. Key Focus Areas Own and execute enterprise data strategy Build and lead a multi-disciplinary data & AI team Drive modern data platform development (dbt, Airflow, Snowflake, Looker/Power BI) Deliver business-critical analytics and reporting Support responsible AI/ML initiatives Define data governance, privacy, and compliance frameworks What We're Looking For Proven data More ❯

deliverables Producing and maintaining high-quality technical documentation Championing data engineering best practices and standards across the business Technical skills Cloud data platforms - Azure, AWS, or GCP (Azure preferred) Snowflake - Deep knowledge and hands-on experience Matillion - Expertise in ETL orchestration Data warehousing and advanced analytics Dimensional modelling and data vault methodologies Stakeholder engagement and cross-functional collaboration Flexible hybrid More ❯

prestigious client. About You: You'll bring technical excellence, hands-on experience, and the ability to manage multiple test activities simultaneously. We're looking for: Expertise in testing Oracle, Snowflake, and Postgres databases and data warehouses Experience delivering fully reconciled Facts and Dimensions with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI More ❯

prestigious client. About You: You'll bring technical excellence, hands-on experience, and the ability to manage multiple test activities simultaneously. We're looking for: Expertise in testing Oracle, Snowflake, and Postgres databases and data warehouses Experience delivering fully reconciled Facts and Dimensions with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI More ❯

SQL. Vast experience in data 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 Management technology landscape, processes and More ❯