APIs and Loosely Coupled architectures API Management tools including IBM API Connect and AWS API Gateway Understanding of Canonical messaging, Corporate Information modelling and general data modelling techniques (3NF, Starschema, Extended StarSchema, Data Vault and relational database design) Understanding and application of different development styles, eg agile (XP, TDD, SCRUM), iterative, spiral, waterfall. Service More ❯
of enterprise data management and governance principles. Proven experience delivering Business Intelligence (BI) solutions and dashboards to enable data-driven decisions. Experience designing relational and dimensional data models (e.g. starschema, snowflake, etc.). Proficient in ETL and data warehousing, including handling slowly changing dimensions. Excellent communication and interpersonal skills, with the ability to liaise confidently between technical More ❯
PE & PFE. · Experience working with large scale, multi-terabyte data warehouses including performance tuning, query optimization and execution plan analysis · Advanced knowledge of data warehousing principles, dimensional modelling and starschema design · Hands-on experience with SQL Server and Snowflake, including their architecture, features and best practices · Familiarity with data integration tools (SSIS, ADF) and techniques (ELT, ETL More ❯
and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes." BASIC QUALIFICATIONS PREFERRED QUALIFICATIONS - Data engineering credentials - Experience with Star Schemas, Dimensional Models, Datamarts in Traditional Data Warehouses as well as in Big Data/Advanced Analytics domains - Advanced analytical skills and is detail-oriented, while also seeing and More ❯
Detail: Keep continuity across reports created by the team while maintaining accuracy and consistency, ensuring insights are reliable and actionable. Who we're looking for Knowledge Designing Kimball/starschema data models. Agile Methodology. Solar and BESS knowledge (Desirable) Qualifications Bachelor's degree in computer science, mathematics, statistics or engineering discipline. Microsoft Power BI Certification. Experience High More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Circle Recruitment
pipelines using modern, cloud-based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with DBT and a good understanding of data modelling approaches (e.g. starschema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control More ❯
development experience in a client-facing or consultancy setting Strong command of DAX (CALCULATE, SUMX, VAR, FILTER, REMOVEFILTERS, time intelligence) Proficiency in SQL and solid understanding of tabular/starschema models Experience working with cloud platforms, ETL tools, and performance tuning Confident leading sessions with both technical and non-technical stakeholders Why Apply his is a key More ❯
development experience in a client-facing or consultancy setting Strong command of DAX (CALCULATE, SUMX, VAR, FILTER, REMOVEFILTERS, time intelligence) Proficiency in SQL and solid understanding of tabular/starschema models Experience working with cloud platforms, ETL tools, and performance tuning Confident leading sessions with both technical and non-technical stakeholders Why Apply his is a key More ❯
pipelines using modern, cloud-based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with dbt and a good understanding of data modelling approaches (e.g. starschema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control More ❯
design and rollout. Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage More ❯
Senior Data Engineer Strong hands-on experience building and maintaining automated data pipelines Advanced proficiency in Python and SQL Experience with dbt and strong understanding of data modelling (e.g., starschema) Proficient with orchestration tools such as Airflow Comfortable working with AWS services (Glue, S3, etc.) or similar cloud platforms Experience with Git, GitHub Actions and CI/ More ❯
extension. This role offers a hybrid working arrangement, requiring 1-2 days per week onsite at Heathrow, Hounslow, with on-site parking available. Responsibilities: Data Modelling: Design and optimize starschema data models tailored to our client's business needs for streamlined analytics and reporting. Collaboration: Work closely with data architects, BI developers, and business analysts to translate … governance practices to ensure accuracy and integrity within data models. Skills/Must have: Proven experience in data modelling using Kimball methodology, with a focus on dimensional modelling and star schemas. Strong proficiency in SQL and experience with data modelling tools like ER Studio, Power Designer, or similar. Ability to translate complex business needs into structured, efficient data models. More ❯
pipelines using modern, cloud- based tools and practices Proficiency in Python and SQL for data engineering tasks Experience with dbt and a good understanding of data modelling approaches (e.g. starschema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control More ❯