Role Description This is a great opportunity to join Deloitte Intelligence Services Centre (ISC). We are looking for a methodical, professional individual who has very strong attention to detail and is comfortable working with qualitative data, supporting across our offering. A strong candidate for this position will be able to diligently follow instructions as well as work autonomously and proactively identify and escalate issues. The candidate must be able to multi-task across different priority areas, have an investigative mindset and an ability to analyse and summarise large volumes of written text. A background in qualitative data processing is desirable. The individual will be required to: - Research entities, risk threats, and ecosystems using a broad range of sources and tech tools - Report on findings and insights - Categorise research findings based on pre-agreed criteria - Follow instructions diligently in processing large volumes of qualitative data and escalate potential issues - Responsible for investigative report generation - Learn and develop awareness of different industries, global risk threat areas and key developments - Effectively utilise different types of investigative tools Qualifications - An ability to meet targets and work to deadlines - A methodical way of working and strong attention to detail - A focus on delivering high quality reporting - An ability to prioritise tasks accordingly - Awareness of internet research techniques - Excellent writing skills - Computer literacy, with a good working knowledge of MS suite Requirements - Have previous experience of working on similar task/service, including due diligence or enhanced due diligence investigations - Be fluent in English (writing and reading) Company Description

Role Description We are looking for a skilled Senior BI Data Engineer to join our team and support the design, development, and optimisation of our enterprise data platform in Microsoft Fabric. In this role, you will be responsible for building and managing scalable data solutions within a modern Lakehouse architecture (Bronze, Silver, Gold layers). Your work will ensure that high-quality, reliable data is available to enable impactful reporting, analytics, and business insights. The Senior BI Data Engineer role is remote-based, with occasional travel to sites. - Design, build, and maintain scalable data pipelines in Microsoft Fabric using pipelines, Dataflows Gen2, and notebooks - Integrate and consolidate data from multiple enterprise sources (ERP, CRM, APIs) into a centralised Lakehouse platform - Develop and manage Bronze, Silver, and Gold layers, ensuring data is structured, clean, and business-ready - Transform and prepare datasets using SQL and PySpark, ensuring high data quality and usability - Monitor pipelines and proactively troubleshoot data issues, failures, and anomalies - Implement and maintain data quality frameworks to ensure accuracy, consistency, and completeness - Optimise data pipelines and storage for performance, scalability, and cost efficiency (e.g. partitioning, incremental loads, Delta/Parquet) - Collaborate closely with BI Developers to support reporting, semantic models, and analytics use cases - Work with stakeholders to understand data requirements and translate them into effective data solutions - Ensure compliance with data governance, standards, and documentation practices Qualifications - A bachelor’s degree in computer science or a related field - Over 5 years of professional experience - Experience with Microsoft Fabric or similar platforms (ADF, Synapse, Databricks) - Strong SQL and Python / PySpark skills - Background in data pipeline development and orchestration - Knowledge of Lakehouse architecture (Bronze / Silver / Gold) and data modelling - Experience with Power BI datasets / semantic models and end-to-end BI processes - Understanding of data quality, governance, and optimisation practices Benefits - An environment where you will feel fulfilled by your work, valued for your contribution, and celebrated for your success - A competitive salary and benefits package which includes: - A merit-based annual pay review - Enhanced annual leave - Employee recognition scheme and long service awards - Referral bonus - Volunteer days - Group Life Insurance, including a death in service payment and access to a virtual GP service 24/7 365 days a year - Sick pay scheme - Cycle to Work scheme - Enhanced maternity/paternity leave - Flexible/Remote/Hybrid Work based on your Job Function - Travel opportunities (role dependent) - Support in your well-being by access to Employee Assistance Programme offering free access to qualified counsellors and expert advice - On-site trained Mental Health First Aiders - Access to various discount programs (including food, activities, gym memberships etc.)

Role Description We are looking for a skilled Senior BI Data Engineer to join our team and support the design, development, and optimisation of our enterprise data platform in Microsoft Fabric. In this role, you will be responsible for building and managing scalable data solutions within a modern Lakehouse architecture (Bronze, Silver, Gold layers). Your work will ensure that high-quality, reliable data is available to enable impactful reporting, analytics, and business insights. The Senior BI Data Engineer role is remote-based, with occasional travel to sites. What a typical day looks like: - Design, build, and maintain scalable data pipelines in Microsoft Fabric using pipelines, Dataflows Gen2, and notebooks - Integrate and consolidate data from multiple enterprise sources (ERP, CRM, APIs) into a centralised Lakehouse platform - Develop and manage Bronze, Silver, and Gold layers, ensuring data is structured, clean, and business-ready - Transform and prepare datasets using SQL and PySpark, ensuring high data quality and usability - Monitor pipelines and proactively troubleshoot data issues, failures, and anomalies - Implement and maintain data quality frameworks to ensure accuracy, consistency, and completeness - Optimise data pipelines and storage for performance, scalability, and cost efficiency (e.g. partitioning, incremental loads, Delta/Parquet) - Collaborate closely with BI Developers to support reporting, semantic models, and analytics use cases - Work with stakeholders to understand data requirements and translate them into effective data solutions - Ensure compliance with data governance, standards, and documentation practices Qualifications - A bachelor’s degree in computer science or a related field - Over 5 years of professional experience - Experience with Microsoft Fabric or similar platforms (ADF, Synapse, Databricks) - Strong SQL and Python / PySpark skills - Background in data pipeline development and orchestration - Knowledge of Lakehouse architecture (Bronze / Silver / Gold) and data modelling - Experience with Power BI datasets / semantic models and end-to-end BI processes - Understanding of data quality, governance, and optimisation practices Benefits - An environment where you will feel fulfilled by your work, valued for your contribution, and celebrated for your success - A competitive salary and benefits package which includes: - A merit-based annual pay review - Enhanced annual leave - Employee recognition scheme and long service awards - Referral bonus - Volunteer days - Group Life Insurance, including a death in service payment and access to a virtual GP service 24/7 365 days a year - Sick pay scheme - Cycle to Work scheme - Enhanced maternity/paternity leave - Flexible/Remote/Hybrid Work based on your Job Function - Travel opportunities (role dependent) - Support in your well-being by access to Employee Assistance Programme offering free access to qualified counsellors and expert advice - On-site trained Mental Health First Aiders - Access to various discount programs (including food, activities, gym memberships etc.)

Role Description Kentucky Public Pensions Authority (KPPA) is currently seeking a Business Intelligence (BI) Architect in the Division of Enterprise and Technology Services. This position is in the Enterprise Project Management Office (EPMO) within the KPPA Division of Enterprise and Technology Services (ETS). - Analyzes and designs the overall architecture of Business Intelligence (BI) solutions. - Designs data warehousing solutions, data integration strategies, and data governance to ensure data is used efficiently and effectively. - Manages multiple projects throughout all phases of the project lifecycle. - Contributes to scope, development of goals and deliverables, preparation of work plans, test scripts, training materials. - Plans, develops, and presents information technical trainings and enterprise-wide training programs for the agency. - Supports IT (Information Technology) procurement activities. - Works with IT leadership to maintain and document IT Budget and expenditures. - Provides support to SharePoint and MS Teams administrators. - Performs other duties as assigned. Qualifications - Graduate of a college or university with a bachelor's degree OR a graduate of a college or university with an associate's degree in information technology (IT) or related field OR certification in an IT related field. - Six years of professional experience in data analysis, business intelligence, or database and reporting technologies. - A master's degree in computer science will substitute for the required experience on a year-for-year basis. - Two years of additional experience in data analysis, business intelligence, database and reporting technologies will substitute for the education requirement. Requirements - Business Intelligence tools including but not limited to; Tableau, Microsoft Power BI, or SQL Reporting Services. - Microsoft Office Suite, including Excel, SharePoint, Word and Teams. - eMARS Experience. - Strong problem resolution skills. - Detail Oriented. Benefits - KPPA retirement plan. - First-day health insurance. - Optional dental and vision insurance. - Optional health flexible spending account. - Life insurance. - Wellness incentive program. - 12 ½ paid holidays. - Paid vacation leave. - Paid sick leave. - Employer paid leave. - State employee discounts. - Training and career development opportunities. - Optional deferred compensation program (401k/457). - Flexible work schedules. - Ample parking. - Walkable campus.