1 to 25 of 46 Snowflake Schema Jobs in London

Apache Airflow, DBT, Fivetran, Matillion, or equivalent. Databases: Solid understanding of relational databases (e.g., PostgreSQL, MySQL) and experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Synapse). Data Modeling: Knowledge of data modeling principles (e.g., star schema, snowflake schema, normalization). Programming: Proficiency ...

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 ...

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 ...

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 ...

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 ...

data pipelines, ingesting from Oracle sources and APIs into our Oracle data warehouse. You will write SQL/PLSQL, design data models (3NF, Star, Snowflake), and develop dashboards with Power BI in an Agile team. You bring 5+ years in data engineering, strong Oracle 19c+ experience, warehousing concepts ...

specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Senior Snowflake Developer Location: London (Hybrid - 2/3 days per week) Duration: 05/04/2027 Pay rate : £537 per day all inc. (PAYE … through FCSA Umbrella) Role Description: Role Summary We are seeking an experienced Senior Snowflake Developer to play a key role in the design, development and optimisation of enterprise reporting and analytics platforms within a Financial Services environment. The successful candidate will be responsible for delivering scalable data solutions using ...

quality datasets Knowledge of data quality improvement, reconciliation and master data challenges Experience building analytical, forecasting or machine learning models Exposure to Snowflake would be highly beneficial Experience developing reporting and dashboards in Power BI Strong stakeholder engagement and communication skills STEM degree or other highly quantitative academic background ...

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 ...

Write and maintain SQL and PL/SQL (Oracle 19c+) for data processing, reporting, and analytics. Help design and maintain data models (3NF, Star, Snowflake) that support reporting and downstream applications. Develop and maintain dashboards and reports using tools such as Power BI. Investigate data issues, perform root‐cause … production. 5+ years working with large datasets in a data engineering or similar role. Good understanding of data warehousing concepts, data modelling (Star/Snowflake/3NF), and ETL/ELT pipelines. Experience tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience ...

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/ ...

Skills & Experience: Advanced SQL development experience (T‐SQL, PL/SQL, or equivalent) with strong performance‐tuning skills. Strong data modelling knowledge (star/snowflake schemas, indexing strategies, optimisation). Experience working in structured consulting or delivery environments with clear processes and standards. Understanding of CI/CD practices ...

customers move away from legacy data warehouses, databases and fragmented data estates towards modern lakehouse, warehouse and federated designs on platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. In a pre-sales capacity, there is a demand for both technical and commercial awareness coupled with an ability … consumption-based platform costs and how to optimise them. Independent Platform Viewpoint - Give customers impartial, evidence-based advice across platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. Recommend the right fit for their requirements, existing investments and skills, rather than defaulting to one vendor. Opportunity Qualification & Discovery - Work ...

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 ...

source control, supported by scanning and remediation processes. Deployment and CI/CD Design, build and maintain CI/CD pipelines (YAML-based) for Snowflake SQL, dbt models, Streamlit applications, stored procedures and supporting scripts. Own database change management (DCM), including the transition to and operation of a state ...

performance solutions aligned with your target data architecture. Master Data Modeling Techniques – Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such … Design and implement solutions using key partner technologies, including: Google Cloud – BigQuery, Dataflow, Vertex AI, and more dbt Labs – Modern analytics engineering and transformation Snowflake – Cloud-native data warehousing Fivetran – Automated data pipelines for seamless integration What You’ll Bring Data Architecture – Proven experience designing and building data warehouse ...

environment. The ideal candidate will have strong proficiency in Python and hands-on experience with Azure services like Data Factory and Databricks. Familiarity with Snowflake data models and third-party market data APIs is essential for success in this role. #J-18808-Ljbffr ...

solutions Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across Player data systems, APIs, Snowflake Db and cloud data environments. Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. … modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies. Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles. Experience with orchestration, Kubernetes, Git-based workflows, automated testing, CI/CD, monitoring ...

solutions Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across Player data systems, APIs, Snowflake Db and cloud data environments. Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. … modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies. Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles. Experience with orchestration, Kubernetes, Git-based workflows, automated testing, CI/CD, monitoring ...

company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Snowflake Data Engineer 3 month Fixed Term Contract London - Hybrid (Onsite 2 days per week) Fractal is a strategic AI partner to Fortune 500 companies with … Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Role/Responsibilities : Must have Snowflake &/Snowflake ML experience - this is mandatory for this Fractal Engineer role. Fractal Data Engineer roles required with the necessary Snowflake experience. ...

financial positions and construction of quantitative datasets, including curves and volatility surfaces. You will develop robust, high-performance data pipelines using Python, SQL, and Snowflake to deliver accurate model inputs and support real-time market risk calculations across asset classes. #J-18808-Ljbffr ...

seeking a Senior Data Engineer to rebuild our data stack for AI-first decision making. You will own end-to-end data architecture, redesign Snowflake/dbt models, and ensure data is accurate, discoverable and ready for AI agents. You will collaborate with data scientists, engineers and product teams ...

major BI platforms — DOMO, Tableau, Looker, etc. Expert level SQL skills — complex queries, window functions, CTEs, query optimization. Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery, Databricks). Expertise in data modeling concepts: star/snowflake schemas, dimensional modeling, semantic layers, and performance tuning at scale. ...

cross-functional planning Data Engineering & Architecture Design and build high-performance ETL/ELT pipelines across operational, analytical, and AI data layers Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks Hands-on ownership of the most complex implementation work Data Modelling & Design Define and evolve … PostgreSQL), Python, versioned metadata frameworks DevOps: Git, CI/CD (Azure DevOps, GitHub Actions) | Monitoring: Custom logging, alerts, structured failure handling Security: Role-based schema access, PII isolation, audit trails Required Skills & Experience First-class STEM degree from a prestigious university 5+ years in Data Engineering/Platform roles ...