4 Semantic Models Jobs

As the leader of a team of 5-6 data professionals, you will be responsible for managing delivery across 2-3 client engagements simultaneously. This role requires a combination of technical expertise in data analytics, BI development, and cloud solutions, along with team management and client relationship management responsibilities. In terms of team leadership and delivery, your key responsibilities will include leading and mentoring the data professionals in your team, managing project deliveries for multiple client engagements, establishing project timelines and quality standards, reviewing and approving technical deliverables, monitoring team performance, and providing guidance as needed. You will also be involved in technical solution design and implementation, where you will design data integration solutions using Azure Data Factory and other cloud services, develop complex semantic models and data warehouse solutions, create dashboards and reports using Power BI and Tableau, implement row-level security and data governance standards, establish technical best practices, and ensure adherence to standards. Furthermore, as part of client and stakeholder management, you will be required to build and maintain strong relationships with key stakeholders, lead client meetings and presentations, drive requirement gathering and solution validation, manage project scope and expectations, identify and mitigate project risks, and ensure client satisfaction and delivery quality. To qualify for this role, you should hold a Bachelor's degree in computer science, Statistics, Mathematics, or a related field, along with at least 5 years of experience in data analytics and BI, including a minimum of 2 years in a managerial role. You should have expert-level proficiency in SQL and data modeling, as well as proficiency in data visualization tools such as Tableau and Power BI, and programming languages. Advanced knowledge of DAX for writing complex calculations, strong expertise in Azure cloud services (particularly Azure Data Factory), and proven experience in designing and implementing data warehouses are also required. Additionally, you should possess strong analytical and problem-solving skills, with a focus on data-driven decision-making, experience with data management and statistical analysis techniques, excellent communication and stakeholder management skills, and preferably Power BI certification and Azure certifications (Data Engineer, Solution Architect). Hands-on experience with Python for data analysis would be a plus.,

Are you curious, motivated, and forward-thinking At FIS, you'll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our,

Job Description Senior Software Engineer Power BI The Business Intelligence Developer creates enterprise business intelligence reports, dashboards, and solutions for our customers. They collaborate closely with multiple departments to deliver reliable and clear information through dashboards, reports, data, and metrics. This information accurately assists with planning, measuring, trending, and enhancing operational performance. Additionally, they research technology best practices, implement frameworks, and align BI directions with strategic business initiatives. Responsibilities: Develop and maintain dashboards and reports in Power BI according to user requirements. Connect Power BI to various data sources for real-time or batch data. Analyze and interpret complex data to create visualizations that effectively showcase the data. Perform and document data analysis, data validation, and data mapping/design. Optimize user experience Perform detailed data exploration and validation from a variety of sources. Collaborate with stakeholders to understand and prioritize functional requirements. Perform testing and data quality checks for Power BI Dashboards. Qualifications: Strong background in BI development using Power BI. Proven experience as a BI Developer. Strong analytical and problem-solving skills to interpret complex data and turn it into comprehensible results. Preferred Qualifications: Experience using Snowflake to store data. Excellent verbal and written communication skills. Excellent interpersonal and customer service skills. Excellent time management skills with a proven ability to meet deadlines. Skills: Proficient in SQL and data querying. Experience with data warehousing and modeling. Ability to gather and interpret business requirements. Strong attention to detail and data accuracy.

We are seeking a skilled Data Engineer to design, build, and maintain high-performance data pipelines within the Microsoft Fabric ecosystem. The role involves transforming raw data into analytics-ready assets, optimising data performance across both modern and legacy platforms, and collaborating closely with Data Analysts to deliver reliable, business-ready gold tables. You will also coordinate with external vendors during build projects to ensure adherence to standards. Key Responsibilities Pipeline Development & Integration Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Synapse, Notebooks). Build robust ETL/ELT processes to ingest data from both modern and legacy sources. Create and optimise gold tables and semantic models in collaboration with Data Analysts. Implement real-time and batch processing with performance optimisation. Build automated data validation and quality checks across Fabric and legacy environments. Manage integrations with SQL Server (SSIS packages, cube processing). Data Transformation & Performance Optimisation Transform raw datasets into analytics-ready gold tables following dimensional modelling principles. Implement complex business logic and calculations within Fabric pipelines. Create reusable data assets and standardised metrics with Data Analysts. Optimise query performance across Fabric compute engines and SQL Server. Implement incremental loading strategies for large datasets. Maintain and improve performance across both Fabric and legacy environments. Business Collaboration & Vendor Support Partner with Data Analysts and stakeholders to understand requirements and deliver gold tables. Provide technical guidance to vendors during data product development. Ensure vendor-built pipelines meet performance and integration standards. Collaborate on data model design for both ongoing reporting and new analytics use cases. Support legacy reporting systems including Excel, SSRS, and Power BI. Resolve data quality issues across internal and vendor-built solutions. Quality Assurance & Monitoring Write unit and integration tests for data pipelines. Implement monitoring and alerting for data quality. Troubleshoot pipeline failures and data inconsistencies. Maintain documentation and operational runbooks. Support deployment and change management processes. Required Skills & Experience Essential 2+ years of data engineering experience with Microsoft Fabric and SQL Server environments. Strong SQL expertise for complex transformations in Fabric and SQL Server. Proficiency in Python or PySpark for data processing. Integration experience with SSIS, SSRS, and cube processing. Proven performance optimisation skills across Fabric and SQL Server. Experience coordinating with vendors on technical build projects. Strong collaboration skills with Data Analysts for gold table creation. Preferred Microsoft Fabric or Azure certifications (DP-600, DP-203). Experience with Git and CI/CD for data pipelines. Familiarity with streaming technologies and real-time processing. Background in BI or analytics engineering. Experience with data quality tools and monitoring frameworks.