23 of 23 Permanent Dimensional Modelling Jobs in London

support decision-making, performance tracking, and regulatory needs across corporate functions. Implement and maintain robust data models across key domains using best practices in dimensional modeling, normalization, and semantic layering. Standardize data acquisition, onboarding, ingestion, transformation and distribution frameworks globally to optimize scalability, open architecture and delivery speed. Support More ❯

support decision-making, performance tracking, and regulatory needs across corporate functions. Implement and maintain robust data models across key domains using best practices in dimensional modeling, normalization, and semantic layering. Standardize data acquisition, onboarding, ingestion, transformation and distribution frameworks globally to optimize scalability, open architecture and delivery speed. Support More ❯

and delivery role — ideal for someone who enjoys team management but is also comfortable “getting stuck in” with hands-on data work, particularly around modelling, dashboards, and reporting. Role responsibilities; Lead and develop a team of 4 data analysts, setting priorities, mentoring team members, and promoting a high-performance … writing complex SQL queries, and shaping data models. Partner with data engineers to design and implement scalable data architectures with a strong focus on dimensional modelling and best practices. Work closely with senior stakeholders to gather requirements, translate them into technical specifications, and ensure successful delivery against timelines. … financial services or a finance function Strong proficiency in SQL and Tableau, with the ability to build efficient and insightful dashboards. Proven experience in dimensional data modelling and working with structured data environments. Strong interpersonal and communication skills, with experience engaging and influencing senior stakeholders So, why would More ❯

and delivery role — ideal for someone who enjoys team management but is also comfortable “getting stuck in” with hands-on data work, particularly around modelling, dashboards, and reporting. Role responsibilities; Lead and develop a team of 4 data analysts, setting priorities, mentoring team members, and promoting a high-performance … writing complex SQL queries, and shaping data models. Partner with data engineers to design and implement scalable data architectures with a strong focus on dimensional modelling and best practices. Work closely with senior stakeholders to gather requirements, translate them into technical specifications, and ensure successful delivery against timelines. … financial services or a finance function Strong proficiency in SQL and Tableau, with the ability to build efficient and insightful dashboards. Proven experience in dimensional data modelling and working with structured data environments. Strong interpersonal and communication skills, with experience engaging and influencing senior stakeholders So, why would More ❯

and delivery role — ideal for someone who enjoys team management but is also comfortable “getting stuck in” with hands-on data work, particularly around modelling, dashboards, and reporting. Role responsibilities; Lead and develop a team of 4 data analysts, setting priorities, mentoring team members, and promoting a high-performance … writing complex SQL queries, and shaping data models. Partner with data engineers to design and implement scalable data architectures with a strong focus on dimensional modelling and best practices. Work closely with senior stakeholders to gather requirements, translate them into technical specifications, and ensure successful delivery against timelines. … financial services or a finance function Strong proficiency in SQL and Tableau, with the ability to build efficient and insightful dashboards. Proven experience in dimensional data modelling and working with structured data environments. Strong interpersonal and communication skills, with experience engaging and influencing senior stakeholders So, why would More ❯

data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service … Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience: Track record of working in democratized data environments, establishing controls and More ❯

data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service … Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience: Track record of working in democratized data environments, establishing controls and More ❯

Factory. Deep technical knowledge of SQL Server including stored procedures and complex data transformation logic. Proven experience in designing and delivering data warehousing and dimensional modelling solutions. Excellent collaboration skills with a track record of working in Agile teams. Experience with Azure DevOps, GIT, and CI/CD More ❯

technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components More ❯

technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components More ❯

SSAS, and SSRS. Technical Proficiency: Advanced skills in SQL, with a deep understanding of database management systems and ETL frameworks. Data Warehousing: Expertise in dimensional modeling and data mining techniques to support business intelligence initiatives. Cloud Awareness: Familiarity with AWS services and their application in data processing and storage More ❯

SSAS, and SSRS. Technical Proficiency: Advanced skills in SQL, with a deep understanding of database management systems and ETL frameworks. Data Warehousing: Expertise in dimensional modeling and data mining techniques to support business intelligence initiatives. Cloud Awareness: Familiarity with AWS services and their application in data processing and storage More ❯

SSIS, SSAS, SSRS) to high level of proficiency - Essential C# Programming/JavaScript programming - Desirable Knowledge and Skills Software analysis and design good practice Dimensional modelling, Entity Relationship modelling, Normalised modelling. Data warehouse design concepts, (Inmon, Kimball) The position is based in Central and you will be More ❯

SSIS, SSAS, SSRS) to high level of proficiency - Essential C# Programming/JavaScript programming - Desirable Knowledge and Skills Software analysis and design good practice Dimensional modelling, Entity Relationship modelling, Normalised modelling. Data warehouse design concepts, (Inmon, Kimball) The position is based in Central and you will be More ❯

Data Platform technologies. - On prem and Azure knowledge - A good understating of all things data - data integration, warehousing, advanced analytics, etc - Strong knowledge of dimensional modelling techniques - Familiarity of data engineering tools and automation practices (CI/CD pipelines, DevOps etc) This is an excellent role for a More ❯

BI Developer (SSIS, SSAS, SSRS) Expert in SQL. Should be able to write complex, nested queries, stored procedures. Background in data warehouse design (e.g., dimensional modelling) and data mining In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework AWS awareness More ❯

BI Developer (SSIS, SSAS, SSRS) Expert in SQL. Should be able to write complex, nested queries, stored procedures. Background in data warehouse design (e.g., dimensional modelling) and data mining In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework AWS awareness More ❯

or equivalent. SQL Programming. C# Software development. Knowledge and Skills C# Programming to high level of proficiency. Software analysis and design. SQL query language. Dimensional modelling Data warehouse design concepts, (Inmon or Kimball) The Client is a Bank based in the City of London. This is a More ❯

or equivalent. SQL Programming. C# Software development. Knowledge and Skills C# Programming to high level of proficiency. Software analysis and design. SQL query language. Dimensional modelling Data warehouse design concepts, (Inmon or Kimball) This is a Full-Time Contract initially for 6 months - but likely to become permanent. More ❯

up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate with engineers, analysts and … the data space What They’re looking for: Strong SQL and Python skills Experience with dbt, Snowflake (or similar), and cloud platforms Solid data modelling background Familiar with APIs (REST/SOAP), Git, CI/CD, and test automation Strong communicator with a proactive, problem-solving mindset Find out More ❯

up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate with engineers, analysts and … the data space What They’re looking for: Strong SQL and Python skills Experience with dbt, Snowflake (or similar), and cloud platforms Solid data modelling background Familiar with APIs (REST/SOAP), Git, CI/CD, and test automation Strong communicator with a proactive, problem-solving mindset Find out More ❯

up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate with engineers, analysts and … the data space What They’re looking for: Strong SQL and Python skills Experience with dbt, Snowflake (or similar), and cloud platforms Solid data modelling background Familiar with APIs (REST/SOAP), Git, CI/CD, and test automation Strong communicator with a proactive, problem-solving mindset Find out More ❯

are seeking an experienced Enterprise Data Modeller to join our team. The ideal candidate will have a proven track record in setting up data modelling functions, including establishing standards and governance, and creating conceptual, logical, and physical models. This role requires expertise in enterprise data modelling tools, such … and ERSTUDIO, and experience in adopting reference data models within banks, including FSDM and BIAN. YOUR PROFILE Set up and manage a comprehensive data modelling function, encompassing standards, governance, and best practices. Lead a team to produce domain data models, such as party, product, and transaction. Develop and maintain … conceptual, logical, and physical data models that meet business requirements. Ensure compliance with industry standards and regulatory requirements. Utilize enterprise data modelling tools such as ERWIN and ERSTUDIO to create and manage models. Adopt and integrate reference data models within banking environments, such as FSDM and BIAN. Lead data More ❯