26 to 50 of 474 Permanent Snowflake Jobs

and data lake architectures. Develop conceptual, logical, and physical data models to support analytical requirements. Build and optimise data pipelines (ETL/ELT) using tools such as Azure Synapse, Snowflake, Redshift, or similar. Ensure robust data governance, security, and quality management practices. Support cloud data migrations and architecture modernisation initiatives. Front-End BI & Analytics Translate complex data into clear, actionable More ❯

and mutual respect; accepting differences and treating everyone fairly. The ability to think outside of the immediate task and constantly look at ways of improving processes. Desirable Experience with Snowflake, Azure, AWS Experience with GA4, Search Console and Meta data sets Experience with property management software MRI Qube, Yardi or similar. Experience with complex databases Experience in system support, monitoring More ❯

and mutual respect; accepting differences and treating everyone fairly. The ability to think outside of the immediate task and constantly look at ways of improving processes. Desirable Experience with Snowflake, Azure, AWS Experience with GA4, Search Console and Meta data sets Experience with property management software MRI Qube, Yardi or similar. Experience with complex databases Experience in system support, monitoring More ❯

and mutual respect; accepting differences and treating everyone fairly. The ability to think outside of the immediate task and constantly look at ways of improving processes. Desirable Experience with Snowflake, Azure, AWS Experience with GA4, Search Console and Meta data sets Experience with property management software MRI Qube, Yardi or similar. Experience with complex databases Experience in system support, monitoring More ❯

Quality Bachelor's Degree (Engineering/Computer Science preferred but not required); or equivalent experience required Deep proficiency in Python, SQL, Cloud Platforms AWS, GCP, Azure). Data Warehousing (Snowflake), Orchestration (Airflow, Rundeck), Streaming (Kafka) Continuous engagement with Data Science and Analytics colleagues to understand requirements for our data-assets and empower them with best possible data, to create high More ❯

with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

Fluent Python, SQL skills with real life project experience; Experience on orchestration tools such as Airflow and DBT; Experience with one of major analytical DWHs is plus: BigQuery, Redshift, Snowflake, Databricks, Synapse; Work experience with following technologies are noteworthy to mention and might be seen as bonus: AWS (and Data related proprietary technologies), Azure (and Data related proprietary technologies), Adverity More ❯

of-breed vendor tools. We deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody's, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too. We are passionate about keeping pace with the latest emerging technology. We have recently More ❯

Senior Data Engineer MUST HAVE SNOWFLAKE, AWS, SNOWPRO CORE Salary - £70-80k with 15% bonus Hybrid working - couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets SnowPro core certification. AWS Skillset Delivery experience Building solutions in … snowflake Insurance experience - advantageous but not necessary MUST HAVE SNOWFLAKE, AWS, SNOWPRO CORE Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services … architecture, ensuring optimal health and efficiency. Skills and Experience: Bachelor's degree or higher in a technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and More ❯

stakeholders • Partner with engineering teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum of 4 years of experience in Business Intelligence, Data Engineering … Graduate or Undergraduate degree in Computer Science, Statistics, Math, or Engineering • Experience in financial services, operations fields • Experience in gathering and documenting requirements with full testing traceability • Experience in Snowflake, Databricks, Legend Studio platforms • Data governance and modelling experience ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities More ❯

BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data More ❯

BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data More ❯

on building scalable data solutions. Experience with data pipeline orchestration tools such as Dagster or similar. Familiarity with cloud platforms (e.g. AWS) and their data services (e.g., S3, Redshift, Snowflake). Understanding of data warehousing concepts and experience with modern warehousing solutions. Experience with GitHub Actions (or similar) and implementing CI/CD pipelines for data workflows and version-controlled More ❯

and experience working with relational databases (e.g., MySQL, PostgreSQL, Oracle). Experience with cloud-based data platforms (AWS, GCP, Azure) and data warehouse solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake). Experience in scripting languages such as Python, Shell, or Bash. Strong understanding of data integration, data transformation, and data quality practices. Familiarity with version control systems (e.g., Git).Preferred More ❯

experience working on mission critical data pipelines and ETL systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Detailed More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

making across the data and ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. 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 ❯

enable actionable business insights through dashboards and reports. Lead the development and documentation of consistent methodologies and governance for extracting, transforming, and analyzing data from various sources such as Snowflake and Palantir, ensuring effective visualization and reporting. Design, build, and manage data pipelines, including data transformation mapping, data flow diagrams, and metadata collection, to ensure data accessibility, accuracy, and security. More ❯

of-breed vendor tools. We deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody's, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too. We are passionate about keeping pace with the latest emerging technology. We have recently More ❯

Senior Lead Engineer with Snowflake and Python page is loaded Senior Lead Engineer with Snowflake and Python Apply locations London, United Kingdom time type Full time posted on Posted 26 Days Ago job requisition id R LSEG London is looking for an Expert in Snowflake, Python and streaming technologies to innovate and build new solutions in LSEG's Regulatory Reporting … ceremonies and working collaboratively with colleagues. • Strong emphasis on build quality which is achieved by adhering to best practise and also thorough unit testing. Requirements • Expert knowledge of Python, Snowflake • Strong SQL query writing skills and excellent understanding of SQL query performance optimization • Very Good knowledge of Agile and SDLC processes • Strong experience of streaming architecture, preferably Apache Spark. • Knowledge More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … across several teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of Snowflake More ❯