1 to 25 of 33 Remote/Hybrid Permanent Snowflake Schema Jobs

proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling. Excellent problem‐solving skills and the ability to work independently and as part of a team Experience ...

data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load … unstructured content into structured meta-data; Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake ...

Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g., Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics or reconciliation. Implementing data quality checks and technical documentation; exposure to version control and CI/ ...

such as SOLID principals, structuring code, testing, IOC, etc. Strong repositories, CI/CD skills. Strong knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills. Strong data analysis skills. Excellent written and verbal communication skills A demonstrable track record of getting stuff done ...

architecturesEnsure efficient data ingestion, transformation, and storageDevelop reusable frameworks and standards for data engineering best practiceData Modelling & WarehousingDesign data models (dimensional, normalized, star/snowflake schemas)Collaborate with analytics teams to support BI and reporting requirementsOptimize data structures for performance and scalabilityCloud & Platform EngineeringBuild and maintain data solutions ...

consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real … data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in‐memory ...

they need, without bespoke workarounds. Strong working relationships with the Data, ML, and Platform teams. What You’ll Bring With You Deep, hands-on Snowflake and dbt experience: modelling, semantic layers, agents & skills, testing, performance and cost tuning. Production experience with a pipeline orchestrator, ideally Dagster (or similar Airflow ...

high-performing team on a long-term basis. Skills/experience Strong hands-on/commercial coding experience in Python Solid experience with Snowflake (data modelling, performance tuning, pipeline integration) Hands-on experience with Azure cloud services Strong experience with SQL Strong experience building and maintaining ETL/ ...

data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake). Experience designing data models for analytics and AI, and working with structured and unstructured data. Familiarity with data governance, security, privacy and compliance ...

Azure Databricks and Medallion Architecture Strong skills in PySpark, Python, Delta Lake and Unity Catalog Knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills A flexible approach to getting things done with a focus on quality solutions This is an urgent vacancy where ...

Software/Data Engineer to join a modern data platform team delivering analytics, reporting and AI-enabled solutions. This role is primarily focused on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# and React/TypeScript environments. The successful candidate will build … support scalable data solutions, contribute to cloud-based platform development and help drive engineering best practice across the team. Responsibilities Develop and maintain Snowflake data models, transformations and pipelines. Build and enhance dbt models, testing frameworks and deployment processes. Develop Python utilities and services for data integration and automation. ...

similar modern cloud-based analytics and data platforms. Strong experience designing and governing analytical data models using recognised patterns such as Medallion Architecture, star schema, and snowflake schema. Experience leading technical teams, mentoring engineers, and establishing engineering standards and delivery practices. Experience developing and implementing data quality, monitoring ...

similar modern cloud‐based analytics and data platforms. Strong experience designing and governing analytical data models using recognised patterns such as Medallion Architecture, star schema, and snowflake schema. Experience leading technical teams, mentoring engineers, and establishing engineering standards and delivery practices. Experience developing and implementing data quality, monitoring ...

Azure Databricks and Medallion Architecture Strong skills in PySpark, Python, Delta Lake and Unity Catalog Knowledge of Kimball data modelling, such as star schema, snowflake, etc. A flexible approach to getting things done with a focus on quality solutions #J-18808-Ljbffr ...

design scalable data models, and collaborate with stakeholders to turn raw data into trusted insights. You will build and maintain dbt models, work with Snowflake/BigQuery, and mentor junior engineers to raise data quality and best practices across the warehouse. #J-18808-Ljbffr ...

products Work cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data ...

Data & Analytics Lead – Snowflake Remote - United Kingdom £75,000 – £85,000 + Benefits Are you an experienced Data & Analytics professional with strong Snowflake experience looking for an opportunity to take genuine ownership of a growing data function? We’re working with an established and growing organisation … their modern data platform and turn business data into meaningful insight. This is a broad role combining data engineering, analytics and technical leadership, with Snowflake becoming a key part of the organisation’s evolving data landscape. What you’ll be doing Take ownership of the organisation’s data warehouse ...

what the data is telling them and how they can use it. Data Engineering & Infrastructure Develop and maintain data pipelines using Matillion. Work with Snowflake to structure, transform and manage analytical data. Improve the quality, consistency and accessibility of data within the existing data environment. Develop appropriate data models … Work hands-on with a substantial and constantly growing dataset. Develop sophisticated analytics across video, content, customers and commercial performance. Work across Matillion, Snowflake, Tableau, R and Python. Develop data science and machine learning solutions with real commercial impact. Work closely with teams across the business and see your ...

/IT to roll out global projects in the EMEA market. The role requires 5+ years in FP&A, strong Excel modelling, PowerBI or Snowflake experience, and a passion for data-driven storytelling at senior levels. Hybrid location in London Battersea with 3 days onsite. #J-18808-Ljbffr ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. You’ll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data ...

Director of Security Data Analytics, you will design and operate the data engineering foundations our analytics depend on: ingestion and transformation pipelines, Snowflake data models, automation, and the enrichment and AI-ready data patterns that turn raw security signals into trusted, analytics-ready data. Presentation-layer engineers own most … build, and optimize data ingestion, transformation, and enrichment pipelines that turn security, technology, and business data into trusted, analytics-ready data. Build and maintain Snowflake data models and warehouse objects that support reporting, visualization, automation, and AI-enabled use cases. Develop automation that reduces manual data handling and reporting ...

Senior Power BI Dashboard Developer - Snowflake £650-£750 per day | Inside IR35 | 6-Month Contract | Hybrid (London) About the RoleA leading financial services organisation is seeking a Senior Power BI Dashboard Developer to join a high-profile transformation programme focused on improving reporting, automation and data-driven decision-making … Create prototypes and dashboards from concept through to production Develop robust data models, DAX measures and Power Query transformations Integrate data from SQL Server, Snowflake and enterprise data platforms Support data migration and transformation projects Optimise dashboard performance, scalability and usability Required Skills & Experience Strong commercial experience with Power ...

knowledge sharing. Contribute to raising the overall quality, consistency, and maturity of the analytics engineering function. Support the optimisation and scalability of the Snowflake data platform, ensuring performance, security, and cost efficiency. Evaluate and introduce new tools and technologies that improve platform capability and engineering effectiveness. Drive adoption … expertise, including complex data modelling, transformation, and performance optimisation. Strong experience designing and maintaining scalable data models using dbt. Proven experience working with Snowflake and modern cloud-based data platforms. Deep understanding of analytics architecture, data governance, and scalable data design principles. Experience writing clean, efficient Python code ...