Streams, Snowpark, Time Travel, Secure Data Sharing) to improve automation and accessibility. Collaboration: Work closely with analysts and stakeholders to deliver data products and troubleshoot issues. Analytics Enablement: Implement dimensional models to provide clean, reusable datasets for reporting and advanced analytics. Monitoring & Reliability: Maintain monitoring, alerting, and cost-management processes for Snowflake and pipelines. Continuous Improvement: Contribute to shared … transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid understanding of data modelling, governance principles, and BI enablement (Power BI). Knowledge of CI/CD and version-controlled development practices in git. Desirable: Experience with enterprise systems (CRM, BSS/OSS More ❯
the right time. Essentially, to ensure you succeed in this role you're going to need Deep, hands-on experience designing and building data warehouses with strong command of dimensional modeling (e.g., Kimball methodology) Expertise in Google Cloud Platform, especially BigQuery architecture, optimization, and cost management Advanced SQL skills and production-level experience using dbt (or similar tools) to More ❯
new business opportunities and innovative solutions. Participate in RFIs, RFPs, and presales pitches to secure new engagements. Your Profile: Essential skills/knowledge/experience: Extensive experience leading multi-dimensional model development on the Anaplan platform, including configuring existing models, adding new functionality, and optimizing modeling solutions for performance and scalability. Proven track record as the solution architecture lead More ❯
#39;ll design scalable, future-proof data architectures and provide technical leadership across transformation programmes: Architecture & Design: Design enterprise data architectures for Snowflake and Azure cloud ecosystems Create dimensional data models (star schema, snowflake schema, Data Vault) supporting analytics and BI Define data strategy and governance frameworks – lineage, cataloging, security, compliance Lead solution design for data warehouse, data … Conduct architecture reviews and design authority for data solutions Mentor engineers on best practices in data modeling, performance optimization, and cloud architecture ESSENTIAL SKILLS: Data Modeling expertise - Star schema, dimensional modeling, Data Vault, logical/physical design Snowflake Cloud Data Platform - Architecture design, performance tuning, cost optimization, governance Azure Data Factory - Pipeline architecture, orchestration patterns, best practices Azure Databricks More ❯
feedback efficiently in an iterative manner Develop and abide by standard methodologies for scalable and repeatable insights. Translate existing spreadsheets/mockups and business problems into sophisticated Anaplan multi-dimensional models Modify existing models as part of a connected solution, optimization, or to incorporate new functionality Implement standard processes and documentation for Anaplan models Lead data integration and migration More ❯
and data products. Influence and inform decision-makers using compelling data storytelling, strategic analysis, and visual narratives. Act as a subject matter expert in Power BI, including DAX, data modelling, and visualization best practices. Build strong relationships with cross-functional stakeholders, ensuring alignment between BI outputs and business goals. Contribute to the continuous improvement of BI practices, tools, and … work under pressure and work to strict reporting deadlines. Excellent organisational and time management skills. Technical skills: Data Manipulation, Data Validation, Data Cleaning, Row Level Security, Relational Databases Management, Dimensional Modelling. Soft skills: Stakeholder Management, Problem Solving, Communication, Logical Reasoning, Questioning Nature, Dataflows, Data Pipelines, Data Validation, Attention to Detail Programmes: Power BI, SQL, Microsoft Packages Desirable Criteria: Experience More ❯
lead and design data engineering solutions for our client. What You'll Do: Lead technical design using Medallion architecture and Azure ServicesCreate conceptual diagrams, source-to-target mapping, and dimensional data modelsGuide the data engineering team on development with ADF, Databricks, Python, JSON, and YAMLImplement performance optimization strategies during data transformationDeploy code artifacts using GitHub Workflows/CI-CD … stakeholdersOptional: Work with Log Analytics and KQL queries Must-Have Skills: 10+ years of experience in Data Engineering Hands-on experience with PySpark, ADF, Databricks, SQL Strong understanding of dimensional modeling, normalization, schema design, and data harmonization Experience with Erwin and data modeling toolsExcellent communication, problem-solving, and client-facing skills Why Join Us: Work in a dynamic, collaborative More ❯
helping enterprise clients structure, govern, and leverage data effectively. The Role As a Senior Data Modeller, you will act as a hands-on lead across client projects, setting data modelling standards and ensuring delivery across multiple stakeholders. You will design frameworks, define best practice for data structures, and drive consistency across systems while remaining highly involved in technical delivery. … Key Responsibilities Lead on data modelling design and implementation across client programmes Create relational and dimensional models for enterprise data warehouses and analytics platforms Define metadata standards, data catalogues, and lineage documentation Collaborate with architects, engineers, and business stakeholders to ensure data models meet business needs Support data migration, governance, and transformation initiatives Your Skills and Experience 5+ … years of experience in data modelling or architecture, ideally within financial services or consulting Strong knowledge of relational and dimensional design (3NF, star, snowflake) Proficient in ERWin, Sparx, or similar tools Experience working with semi-structured data (JSON, XML, Parquet) Excellent communication and client-facing skills More ❯
across the organisation. Key Responsibilities: Design and maintain scalable data platforms using cloud-native technologies such as Databricks and AWS across development, staging, and production environments Build and govern dimensional data models and semantic layers to power consistent and trusted analytics Integrate data from diverse sources including cloud warehouses, APIs, and operational systems Define semantic layers using dbt and … to ensure performance and cost efficiency Collaborate with cross-functional teams on architecture decisions, technical designs, and data governance standards You Will Have: Proven hands-on expertise in data modelling with a strong track record of designing and implementing complex dimensional models and enterprise-wide canonical data models The ability to translate complex business processes into scalable and More ❯
across the organisation. Key Responsibilities: Design and maintain scalable data platforms using cloud-native technologies such as Databricks and AWS across development, staging, and production environments Build and govern dimensional data models and semantic layers to power consistent and trusted analytics Integrate data from diverse sources including cloud warehouses, APIs, and operational systems Define semantic layers using dbt and … to ensure performance and cost efficiency Collaborate with cross-functional teams on architecture decisions, technical designs, and data governance standards You Will Have: Proven hands-on expertise in data modelling with a strong track record of designing and implementing complex dimensional models and enterprise-wide canonical data models The ability to translate complex business processes into scalable and More ❯
