17 of 17 Contract Dimensional Modelling Jobs

platforms to GCP Hands-on experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, Cloud Functions and Cloud Run Strong SQL, data modelling, dimensional modelling and ETL/ELT experience Experience with Terraform, CI/CD, Git and DevOps practices Strong knowledge of IAM, security ...

preferably Databricks Experience designing scalable data pipelines for machine learning workloads Experience implementing orchestration tools such as Apache Airflow or equivalent. Knowledge of data modelling, dimensional modelling and data warehousing principles Whether you're developing new products, building scalable platforms or unlocking insights from data ...

requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise … environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow ...

Strong understanding of ETL processes and data validation techniques. - Experience with Azure Data Factory, including understanding pipelines, datasets, and data flows. - Knowledge of data modelling and dimensional modelling concepts. - Solid SQL skills, including writing and analysing complex queries. - Experience using Azure DevOps for test and defect management. ...

retesting, and reporting. Perform back-end data testing, analysing large datasets to identify data quality issues, inconsistencies, and root causes. Validate data models and dimensional models, ensuring data structures, relationships, and business rules are correctly implemented. Use SQL to interrogate databases, read schemas and tables, reconcile data, and verify … skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation and validation. Solid understanding of data modelling and dimensional modelling, including testing data relationships, facts, dimensions, and business rules. ISTQB Data Testing certification (or equivalent) and recent, demonstrable experience working ...

retesting, and reporting. Perform back-end data testing, analysing large datasets to identify data quality issues, inconsistencies, and root causes. Validate data models and dimensional models, ensuring data structures, relationships, and business rules are correctly implemented. Use SQL to interrogate databases, read schemas and tables, reconcile data, and verify … skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation and validation. Solid understanding of data modelling and dimensional modelling, including testing data relationships, facts, dimensions, and business rules. ISTQB Data Testing certification (or equivalent) and recent, demonstrable experience working ...

/ELT frameworks Enterprise data platform implementation Cloud Technologies (AWS) Experience with: Amazon S3 AWS Glue Apache Airflow IAM AWS Lambda (desirable) Data Architecture & Modelling Knowledge and practical experience of: Data Vault Kimball methodology Dimensional modelling Data warehousing principles Enterprise data architecture concepts Modernisation & Migration Experience Experience ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

What you'll be doing Design, develop and maintain high-quality Power BI dashboards and reports. Translate business requirements into scalable reporting and data modelling solutions. Develop robust semantic models using star schema principles. Build complex DAX measures, KPIs and Power Query transformations. Optimise report performance, datasets and refresh … Extensive commercial experience with Microsoft Power BI (Desktop & Service). Advanced DAX, Power Query (M) and SQL (T-SQL preferred). Strong understanding of dimensional modelling and star schema design. Experience developing high-performance enterprise reporting solutions. Strong understanding of ETL processes and data warehousing concepts. Experience integrating ...

. Extensive SQL development and performance tuning expertise. Experience building and supporting ETL/ELT frameworks. Strong understanding of data warehousing concepts and dimensional modelling. AWS experience, including services such as S3, Glue, EMR, or PySpark . Knowledge of data governance, quality controls, and testing practices. Experience working within ...

year Technical Skills. Expert in Data Bricks, ADF & SQL (SQL queries, SQL Server Integration Services (SSIS) (Stored Procedures Development). Expert in Data Modelling & Data Schema creation including measures, calculations, KPI's & CDE's Working knowledge of Microsoft Power BI Report Builder, PowerBI Working knowledge of tools to help …/SharePoint/One Drive Understanding of database management systems and ETL (Extract, transform, load) framework Understanding of MS Azure data lake design (e.g. dimensional modelling) and data mining Business Skills Proven abilities to take initiative and be innovative Analytical mind with a problem-solving aptitude Ability ...

data and mobile applications. Knowledge of Azure Data Factory. Medium to strong SQL skills (understanding and writing). Knowledge of data models and dimensional models, together with a solid reporting skill set. Previous experience of data testing, ETL and testing large volumes of data. Experience of working within ...

engineering standards, design patterns, and development best practices. Database & Data Engineering Strong experience with SQL Server, PostgreSQL, and enterprise database platforms. Expertise in: Data modelling (OLTP, OLAP, dimensional models) Query optimization and performance tuning Database scalability and resilience Data governance and quality management Experience delivering large-scale ...

solution designs meet business requirements whilst aligning with architecture standards, governance frameworks and strategic objectives. The successful candidate will combine strong data architecture and modelling expertise with a broad understanding of Microsoft Azure data technologies and modern data platforms, enabling them to guide delivery teams and make informed design … ability to influence both technical and non-technical stakeholders. Proven experience designing conceptual, logical and physical data models. Strong knowledge of relational and dimensional modelling techniques. Experience undertaking data profiling and source system analysis. Experience designing enterprise data architectures and integration patterns. Ability to produce and review architecture ...

procedures, views and functions. Hands-on experience testing SSIS packages, ETL processes and data transformations. Good understanding of data warehouse architectures and methodologies, including dimensional modelling concepts. Experience validating data quality, integrity, consistency and reconciliation across multiple data sources. Experience validating Power BI dashboards, reports, KPIs and semantic ...

data team, supporting the development of modern data solutions, reporting capabilities, and analytics across a large-scale Azure data platform. The role combines data modelling, reporting, and hands-on data engineering work within a cloud-based environment. Key Responsibilities Design and develop data models, schemas, KPIs, measures, calculations … data governance, data quality, and reporting improvement initiatives. Essential Skills & Experience Strong experience with Databricks, Azure Data Factory (ADF) and SQL. Advanced Data Modelling and Data Schema Design expertise. Experience applying Medallion Architecture principles. Strong Power BI development and reporting experience. Experience creating KPIs, measures, calculations and critical data ...