26 to 50 of 133 Snowflake Schema Jobs in the UK

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 ❯

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 ❯

site, working closely with engineers, analysts, and business stakeholders. ? About the Platform: This greenfield initiative is focused on building a next-gen data ecosystem with a tech stack including: Snowflake for cloud data warehousing dbt for transformation and modelling Azure for cloud infrastructure and orchestration Fivetran for automated data ingestion Power BI and other modern BI tools for reporting … and visualisation ? What You’ll Do: Design and implement scalable, well-documented data models in Snowflake using dbt Build curated, reusable data layers that support consistent KPIs and enable self-service analytics Collaborate with Power BI developers to deliver insightful, high-performance dashboards Work with Data Engineers to optimise data ingestion and orchestration pipelines using Azure Data Factory and … dimensional modelling, layered architecture, and data quality What We’re Looking For: Strong experience in data modelling and SQL Hands-on experience with dbt and cloud data platforms like Snowflake or Azure Synapse Analytics Solid understanding of modern data stack principles , including layered modelling and data warehouse design Excellent communication skills and the ability to work with stakeholders across More ❯

site, working closely with engineers, analysts, and business stakeholders. 🚀 About the Platform: This greenfield initiative is focused on building a next-gen data ecosystem with a tech stack including: Snowflake for cloud data warehousing dbt for transformation and modelling Azure for cloud infrastructure and orchestration Fivetran for automated data ingestion Power BI and other modern BI tools for reporting … and visualisation 🧠 What You’ll Do: Design and implement scalable, well-documented data models in Snowflake using dbt Build curated, reusable data layers that support consistent KPIs and enable self-service analytics Collaborate with Power BI developers to deliver insightful, high-performance dashboards Work with Data Engineers to optimise data ingestion and orchestration pipelines using Azure Data Factory and … dimensional modelling, layered architecture, and data quality ✅ What We’re Looking For: Strong experience in data modelling and SQL Hands-on experience with dbt and cloud data platforms like Snowflake or Azure Synapse Analytics Solid understanding of modern data stack principles , including layered modelling and data warehouse design Excellent communication skills and the ability to work with stakeholders across More ❯

site, working closely with engineers, analysts, and business stakeholders. About the Platform: This greenfield initiative is focused on building a next-gen data ecosystem with a tech stack including: Snowflake for cloud data warehousing dbt for transformation and modelling Azure for cloud infrastructure and orchestration Fivetran for automated data ingestion Power BI and other modern BI tools for reporting … and visualisation What You’ll Do: Design and implement scalable, well-documented data models in Snowflake using dbt Build curated, reusable data layers that support consistent KPIs and enable self-service analytics Collaborate with Power BI developers to deliver insightful, high-performance dashboards Work with Data Engineers to optimise data ingestion and orchestration pipelines using Azure Data Factory and … dimensional modelling, layered architecture, and data quality What We’re Looking For: Strong experience in data modelling and SQL Hands-on experience with dbt and cloud data platforms like Snowflake or Azure Synapse Analytics Solid understanding of modern data stack principles , including layered modelling and data warehouse design Excellent communication skills and the ability to work with stakeholders across More ❯

Writing efficient and complex DAX formulas for calculated columns, measures, and KPIs. Power Query (M Language) : Data transformation and shaping using Power Query Editor. Data Modeling : Designing star/snowflake schemas, relationships, and optimizing data models for performance. Data Visualisation Best Practices : Ability to design intuitive and impactful dashboards. KPI Development : Creating and tracking key performance indicators aligned with More ❯

Writing efficient and complex DAX formulas for calculated columns, measures, and KPIs. Power Query (M Language) : Data transformation and shaping using Power Query Editor. Data Modeling : Designing star/snowflake schemas, relationships, and optimizing data models for performance. Data Visualisation Best Practices : Ability to design intuitive and impactful dashboards. KPI Development : Creating and tracking key performance indicators aligned with More ❯

ETL processes, and cloud-based data solutions, with a particular focus on advanced SQL for data transformation and optimisation. The ideal candidate will have hands-on experience working with Snowflake, Azure Data Factory, and Power BI, with proven ability to design and maintain semantic data models that support scalable analytics. Experience working with consumer goods or retail data models More ❯

Principal Data Consultant (Snowflake/Matillion) Application Deadline: 18 June 2025 Department: Data Engineering Employment Type: Full Time Location: Bristol, UK Compensation: £85,000 - £100,000/year Description As a Principal Data Consultant, at Snap, you'll be at the forefront of our most strategic initiatives. Your role will involve leading client engagements, managing large-scale projects, and … as a thought leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work … closely with our clients to design the correct data models to support their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and More ❯

Principal Data Consultant (Snowflake/Matillion) Join to apply for the Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Continue with Google Continue with Google Principal Data Consultant (Snowflake/Matillion) 1 week ago Be among the first 25 applicants Join to apply for the Principal Data Consultant (Snowflake/Matillion) role at Snap … as a thought leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You’ll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You’ll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You’ll work … closely with our clients to design the correct data models to support their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You’ll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and More ❯

Role: Snowflake Data Architect Location: Hove, UK Type: Permanent Role Work Mode: Hybrid Role & Responsibilities Define and implement the end-to-end architecture of Data warehouse on Snowflake. Create and maintain conceptual, logical, and physical data models in Snowflake. Design data pipelines and ingestion frameworks using Snowflake native tools. Collaborate with Data Governance teams to establish data lineage More ❯

Job Description Role: Snowflake Data Architect Location: Hove, UK Type: Permanent Work Mode: Hybrid Role & Responsibilities Define and implement the end-to-end architecture of Data warehouse on Snowflake. Create and maintain conceptual, logical, and physical data models in Snowflake. Design data pipelines and ingestion frameworks using Snowflake tools. Collaborate with Data Governance teams to establish data lineage More ❯