1 to 25 of 33 Permanent Star Schema Jobs in London

Strong 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 ...

Data Science, or a related field; 3+ Years of experience in Data Engineering; Knowledge of dimensional data modeling and the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development and reporting knowledge based on an intricate understanding of business processes and measures; Knowledge ...

skills for transformations, data modelling, and debugging data issues Experience building and supporting ingestion pipelines end to end Understanding of data modelling for analytics (star schema, facts/dimensions) and how schema changes affect downstream users Exposure to layered data architectures (e.g. bronze/silver/gold ...

practices, 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 ...

query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL‐based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning, RLS, and deployment via pipelines. Understanding of Power BI engineering discipline: PBIP/TMDL source ...

varied 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 ...

experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding of data modelling principles — star schema, dimensional modelling, DAX. Experience with Power BI and the Microsoft Power Platform, including building on top of central/curated data models. Familiarity ...

varied 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 ...

premise relational databases (SQL Server) and legacy ETL tools (SSIS or similar). Data Fundamentals: Solid understanding of data modelling principles (dimensional modelling, star schemas) and ETL/ELT best practices. Core Competencies: Strong Problem Solver: Curious and proactive when digging into unfamiliar legacy code or debugging pipeline errors. ...

automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows and other orchestration tools. Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon). Familiarity with medallion architectures, data lakehouse principles and distributed data processing. Experience with version control tools (GitHub, Bitbucket ...

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 ...

ensure clean, reliable and timely data flows into a central reporting layer with low ongoing maintenance. Build a scalable data model, such as a star schema, to support fast, flexible reporting rather than one-off extracts. Establish data governance practices, including naming conventions, refresh schedules, version control ...

measures. Strong experience using Power Query and data transformation techniques. Experience working with SQL and relational databases. Understanding of data modelling principles, including star schemas, dimensions, fact tables and relationships. Experience producing reporting solutions for a range of business audiences. Strong understanding of dashboard design and data visualisation best ...

query optimisation and working with the Azure data stack(Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M,performance tuning, RLS and deployment via pipelines. Astrong understanding of Power BI engineering discipline: PBIP/TMDLsource ...

architecture for Power BI-based BI and management information applications, translating reporting needs into scalable technical solutions. Design governed semantic and data models using star-schema principles, DAX and Power Query, and define standards for datasets, dataflows, workspaces and report design. Architect integrations between Power BI and Azure ...

environment. Expert knowledge of Power BI Desktop and Power BI Service. Advanced experience with DAX, Power Query and SQL. Strong knowledge of dimensional modelling, star‐schema design and semantic models. Experience with Power BI administration, workspace management, dataflows and deployment pipelines. Experience working with cloud and on‐premise ...

data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption. Architect and evolve analytics‐ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability. Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define requirements and translate them into scalable technical ...

Power BI reporting landscape. What You'll Be Doing Design and maintain enterprise Power BI solutions: semantic models, reports, dashboards Build scalable data models (star schema, Kimball methodology) and advanced DAX measures Use Power Query (M) for data transformation Optimise report/dataset performance and manage deployment across ...

building and designing products that use both real-time and batch data at scale, and an understanding of the underlying data architecture (e.g. lakehouse, star schema). Ability to write and validate SQL queries, and to trace data flows end-to-end to ensure data quality. Awareness ...

insurer (London Market essential) Advanced SQL Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers) Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning, RLS, and deployment via pipelines Strong stakeholder engagement skills, with the ability to translate ambiguous business ...

data-driven decision-making Experience building data products that transition manual and heavily Excel-based analysis to automated or semi-automated solutions Knowledge of star schema modelling, including dimensional data modelling, dimensions, facts, measures, and hierarchies Experience developing analytics with Microsoft Power BI or other data visualisation tools ...

configuration, governance, orchestration, user management, engineering best practices. Data modelling: You're comfortable designing schemas and data models, including medallion architecture and Kimball/Star Schema concepts (Fact and Dimension tables), from the ground up. Git: You're fluent in Git workflows — branching, troubleshooting, code reviews. Python/ ...

skills, including views, stored procedures and query optimisation. A good understanding of Kimball data modelling concepts including grain, surrogate keys, conformed dimensions, and star schemas. Experience turning raw or operational data into trusted, business‐ready datasets. The ability to investigate complex data issues and work through them logically. Confidence ...

team spirit Nice-to-Have Data Governance & Quality Hands-on experience with: Data Quality Data Governance practices Familiarity with modelling approaches such as: Star Schema OBT Knowledge of modern architectures: Medallion Lambda Kappa Experience building or contributing to cloud-based data platforms AWS preferred Familiarity with: S3 Glue ...

system observability, and experience with source control tools like GitHub. Hands on experience with dbt or similar transformation tools. Strong data modelling principles, including star schema, and best practices for building scalable data assets that can be used in BI and other user facing tools. Experience working with ...