26 to 50 of 169 Snowflake Schema Jobs

innovative, and supportive - ideal for someone who thrives on building solutions from scratch. 🌐About the Project: You’ll play a key role in designing and implementing a brand-new Snowflake Data Warehouse hosted on Microsoft Azure , with a modern tech stack that includes: Snowflake for scalable cloud data warehousing dbt for data transformation and modelling Azure Data Factory … for orchestration Power BI for data visualisation and reporting 🛠️ What You’ll Do: Design, build, and maintain robust data pipelines and data models in Snowflake Integrate data from multiple structured and unstructured sources into the new platform Collaborate with Data Analysts to optimise semantic models and support self-service analytics Implement and enforce data governance, security, and access control … re Looking For: Proven experience in a Data Engineering or Data Development role Strong knowledge of Azure services , especially Azure Data Factory Hands-on experience (or strong understanding) of Snowflake , including pipeline development and data modelling Familiarity with dbt or similar transformation tools Experience working with both structured and unstructured data Understanding of data governance , security best practices , and More ❯

innovative, and supportive - ideal for someone who thrives on building solutions from scratch. About the Project: You’ll play a key role in designing and implementing a brand-new Snowflake Data Warehouse hosted on Microsoft Azure , with a modern tech stack that includes: Snowflake for scalable cloud data warehousing dbt for data transformation and modelling Azure Data Factory … for orchestration Power BI for data visualisation and reporting Design, build, and maintain robust data pipelines and data models in Snowflake Integrate data from multiple structured and unstructured sources into the new platform Collaborate with Data Analysts to optimise semantic models and support self-service analytics Implement and enforce data governance, security, and access control policies Monitor and tune … re Looking For: Proven experience in a Data Engineering or Data Development role Strong knowledge of Azure services , especially Azure Data Factory Hands-on experience (or strong understanding) of Snowflake , including pipeline development and data modelling Familiarity with dbt or similar transformation tools Experience working with both structured and unstructured data Understanding of data governance , security best practices , and More ❯

an ad hoc basis. Role Description We are looking for 2 Data Engineers, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI , with a strong focus on building semantic models and supporting analytics. Key Responsibilities: Design and optimize ETL pipelines in Snowflake and Azure Data … Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting. Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations. Ensure data integrity and accessibility within Snowflake to support effective data warehousing operations. Collaborate with analytics and … business teams to align data models with reporting needs and business goals. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake. Proficiency in Snowflake for data warehousing, including semantic modelling and Python-based stored procedures. Experience with Azure Data Factory and related Azure services. Hands-on experience with Power BI for creating and More ❯

data migration projects and cloud transformation Deep understanding of enterprise architecture frameworks and methodologies Experience with financial risk systems and analytics platforms Strong technical background in database platforms (Oracle, Snowflake) Understanding of cloud architecture principles (AWS preferred) Excellent communication and stakeholder management skills Ability to translate complex technical concepts for non-technical stakeholders PREFERRED CERTIFICATIONS Cloud platform certifications (AWS … DAMA) Project/Program Management certifications (PMP, Prince2, Agile/Scrum) AI/ML certifications or specialized training TECHNICAL SKILLS Enterprise systems architecture AWS and cloud technologies Oracle and Snowflake platforms Data modeling and design Data lineage and governance tools ETL/ELT processes Big data and analytics platforms Financial risk systems and methodologies Programming knowledge (Python, SQL, etc. … DevOps and CI/CD principles Knowledge graph and semantic web technologies Machine learning operations (MLOps) AI-focused data catalog tools Schema registry and metadata management systems Feature store architecture for machine learning PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation More ❯

We are looking for a Data Engineer, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI, with a strong focus on building semantic models and supporting analytics. Please only apply if you are confident with the above. This is a Remote role with a few in … scalability. We collaborate closely with clients to achieve their desired results, covering Retail, Out of Home, E-Commerce, and Field Sales. Key Responsibilities: Design and optimize ETL pipelines in Snowflake and Azure Data Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and … reporting. Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations. Ensure data integrity and accessibility within Snowflake to support effective data warehousing operations. Collaborate with analytics and business teams to align data models with reporting needs and business goals. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and More ❯

Partners Data Services Team? Investment in Data: We recognise the power of data and are fully committed to growing a best-in-class team. Cutting-Edge Tech: Work with Snowflake, Power BI, and AI-driven solutions to shape the future of data analytics. People-First Culture: A collaborative, flexible, and supportive work environment. Career Growth Opportunities: Continuous learning and … developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. Our data platform's support regulatory requirements, business intelligence & reporting needs and numerous system integrations. This role requires strong technical proficiency and a … of data engineering and data warehousing principles and practices. You will be critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration. As a Data Engineer More ❯

modelling and SQL/database design skills. Proficiency in ETL/ELT processes. Expert-level SQL and Python programming. Understanding of different data modelling techniques (e.g., Kimball, star, and snowflake schemas). Data quality techniques. Data normalisation. Cloud and Big Data Technologies. Extensive experience with Databricks. Familiarity with cloud data warehouses (AWS, Azure, GCP, or Snowflake). Additional More ❯

play a key part in designing, building, and optimising scalable data pipelines, ensuring high-quality, actionable data is readily available to drive decision-making. Working with modern tools like Snowflake and dbt, you’ll build and maintain our data infrastructure and collaborate with cross-functional teams, including analysts and stakeholders, to support reporting and insights. You’ll also have … organisation. Key Responsibilities Design, develop, and maintain scalable and reliable ETL pipelines to extract, transform, and load data from a variety of sources. Build and optimise data models using Snowflake and dbt to ensure accuracy, integrity, and accessibility across the organisation. Write and optimise complex SQL queries for data transformation, reporting, and analysis. Collaborate with analysts and stakeholders to More ❯

data-oriented, systematic approaches to solving problems. You have 2-3 years of experience in data management and analysis. You are familiar with SQL and Cloud Data Warehouses like Snowflake . Exposure to data models and ETL frameworks , and familiarity with DBT is a plus. You have the ability to translate business needs into meaningful dashboards and reports. You More ❯

we can build together. KEY ACCOUNTABILITIES - Design, build, and manage robust data pipelines and integrations across HR systems (e.g., HRIS, Payroll, LMS) and analytics platforms (e.g., Power BI, Azure, Snowflake). - Build and maintain scalable data models, warehouses, and ETL processes that support consistent, accurate, and timely people reporting. - Collaborate with HR, IT, and analytics stakeholders to define data … analysts in accessing, joining, and transforming data for strategic projects and regulatory compliance. KEY EXPERIENCE, KNOWLEDGE AND SKILLS - Strong technical proficiency in tools like SQL, Python, Azure Data Factory, Snowflake, dbt, and Power BI. - Experience with HR technology landscapes and concepts (e.g., job hierarchies, organisational structure, HRIS architecture). - Experience designing ETL/ELT pipelines and integrating data from … cloud and on-premise sources. - Familiarity with data modelling best practices (star/snowflake schema) and version-controlled development (e.g., Git). - Ability to translate business data needs into technical solutions and document them clearly. - Understanding of data governance, privacy, and compliance principles. This is more than a technical role - it's a chance to shape how people More ❯

tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM, KMS, and RBAC implementation. Cloud More ❯

tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM, KMS, and RBAC implementation. Cloud More ❯

in relational databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years of experience in More ❯

in relational databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years of experience in More ❯

join a growing data team at the early stages of its evolution, where you’ll have real ownership, shape foundational data assets, and work with cutting-edge technologies like Snowflake, DBT, Microsoft Azure, and Power BI and next-gen BI platforms. Responsibilities Design and maintain clean, modular data models in Snowflake, applying analytics engineering best practices using DBT. … Proven experience in analytics engineering or advanced BI/data roles with a strong focus on data modelling and transformation Proficiency in SQL and cloud data platforms such as Snowflake or Azure Synapse Analytics Hands-on experience with DBT for developing, testing, and documenting transformations Understanding of modern data stack principles, including layered modelling, modular SQL, and Git-based More ❯

issues and solutions to a variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw data into the desired format for analytics and More ❯

issues and solutions to a variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw data into the desired format for analytics and More ❯

Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal … and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake … and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake More ❯

Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal … and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake … and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake More ❯

Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. About You We are looking for a skilled Lead Data Engineer who: Personal Attributes Self-starter with initiative and enthusiasm Thrives at solving problems with … and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake … and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake More ❯

as Power BI, Tableau, QlikView/Qlik Sense, or similar. Strong SQL skills; experience with databases such as SQL Server, Oracle, or PostgreSQL. Knowledge of data modelling, star/snowflake schema, and DAX/MDX (if applicable). Familiarity with ETL processes and tools (e.g., SSIS, Talend, Azure Data Factory). Strong problem-solving skills and attention to More ❯

If you're looking to contribute, grow, and work on diverse data challenges, join us! Your Contribution Design and develop efficient and scalable data models and data marts (e.g.star schema, snowflake schema) using best practices for data warehousing and business intelligence that are optimized for self-service analytics tools Collaborate with business stakeholders (e.g. finance, marketing, operations More ❯

Hybrid 2-3 days onsite in a week) Duration: Long Term B2B Contract Job Description: The ideal candidate will have a minimum of 5+ years of experience working with Snowflake, DBT, Python, and AWS to deliver ETL/ELT pipelines using various resources. Proficiency in Snowflake data warehouse architecture. Design, build, and optimize ETL/ELT pipelines using … processing. Leverage Python to create automation scripts and optimize data processing tasks. Proficiency in SQL performance tuning and query optimization techniques using Snowflake. Troubleshoot and optimize DBT models and Snowflake performance. Knowledge of CI/CD and version control (Git) tools. Experience with orchestration tools such as Airflow. Strong analytical and problem-solving skills with the ability to work … reliability, and consistency across different environments. Collaborate with other data engineers, data analysts, and business stakeholders to understand data needs and translate them into engineering solutions. Certification in AWS, Snowflake, or DBT is a plus. #J-18808-Ljbffr More ❯

Direct message the job poster from KBC Technologies Group The ideal candidate will have a minimum of 5+ years of experience with strong expertise in Snowflake, DBT, Python, and AWS to deliver ETL/ELT pipelines. Proficiency in Snowflake data warehouse architecture and the ability to design, build, and optimize ETL/ELT pipelines using DBT (Data Build … processing, leveraging Python to create automation scripts and optimize data processing tasks. Proficiency in SQL performance tuning and query optimization techniques using Snowflake. Troubleshooting and optimizing DBT models and Snowflake performance. Knowledge of CI/CD and version control (Git) tools. Experience with orchestration tools such as Airflow. Strong analytical and problem-solving skills, with the ability to work … reliability, and consistency across different environments. Collaborate with other data engineers, data analysts, and business stakeholders to understand data needs and translate them into engineering solutions. Certification in AWS, Snowflake, or DBT is a plus. Seniority Level Mid-Senior level Employment Type Contract Job Function Information Technology Industries Pharmaceutical Manufacturing and Biotechnology Research #J-18808-Ljbffr More ❯

client are a start-up data consultancy looking to expand their data engineering practice to facilitate the service of their growing client base. This role will require proficiency in Snowflake, Python, DBT, AWS, and SQL. Consultancy experience would be a huge plus. Salary and Benefits Competitive salary of £55k - £65k (DOE) Fully remote working 25 days annual leave And … many more! Role and Responsibilities Design and deliver data pipelines using SQL, dbt, and Python within Snowflake to transform and model data for a variety of use cases. Build robust, testable, and maintainable code that integrates data from diverse sources and formats. Work closely with analytics, product, and client teams to turn data requirements into scalable solutions. Support the … standards, development processes, and client delivery playbooks. Participate in sprint planning, reviews, and retrospectives with a lean agile delivery mindset. What do I need to apply Strong experience with Snowflake Experience with Python, DBT, AWS, SQL. Strong stakeholder engagement. Experience with integrating API's Data science background or some exposure. My client have limited interview slots and they are More ❯