Billigence

• Support in designing, developing, and maintaining our data infrastructure • Build and optimize data pipelines using SQL and/or Python • Collaborate with other teams to derive data-driven insights and ensure data quality • Identify opportunities to automate data processes and improve data ingestion and integration • Support the implementation of best practices for data processing and storage

• Configure and develop Ataccama ONE solutions across Data Quality and metadata modules • Build data profiling jobs, validation rules, and DQ monitoring workflows • Support metadata ingestion, catalog setup, and scan configuration • Implement remediation workflows and issue tracking processes • Work with Solution Architects to support platform integration and technical delivery • Support testing, defect resolution, and deployment activities across environments • Ensure technical deliverables meet quality, performance, and scalability requirements • Produce technical documentation and support knowledge transfer to client teams • Collaborate with data engineering teams on source integration and connectivity • Support ongoing platform optimisation and enhancements during delivery

• Develop a detailed delivery plan, including timelines, responsibilities, and key milestones following discovery and requirements gathering during the early stages of the engagement • Support the design of a central data capability within Procurement, helping define key roles required to support ongoing data maturity and governance • Establish a Procurement Data Governance framework, identifying and onboarding Data Owners and Data Stewards across critical data domains • Prioritise governance across key datasets including supplier portal and supplier master data, price modelling data, and procurement data within ERP environments • Document key data assets to support population of the enterprise data catalogue • Develop and maintain business glossaries, data definitions, and governance artefacts aligned with enterprise standards • Define business and data quality rules for monitoring based on operational processes and catalogue standards • Identify and implement data quality monitoring mechanisms • Support the training and onboarding of Data Owners and Data Stewards to embed governance practices within Procurement teams • Ensure all outputs align with the organisation's enterprise data governance framework and associated standards • Support change management and adoption, working closely with business stakeholders to embed sustainable governance processes

• Design and develop microservices-based backend systems, following clean architecture and best practices. • Refactor existing AWS VM-based applications into cloud-native, containerized services. • Collaborate with architects and DevOps teams on CI/CD, and AWS → Azure service mapping.

• Design, develop, and optimise Alteryx workflows and analytical applications. • Automate manual data preparation and reporting processes. • Gather and analyse business requirements and translate them into technical solutions. • Develop reusable workflow components and best practice standards. • Integrate data from multiple sources including databases, APIs, cloud platforms, and enterprise systems. • Perform data cleansing, transformation, validation, and reconciliation activities. • Support data quality initiatives and continuous improvement programmes. • Collaborate with business stakeholders, analysts, and technical teams to deliver data-driven solutions. • Produce technical documentation and support knowledge transfer activities. • Provide guidance and mentoring on Alteryx best practices.

• Design and implement enterprise data governance capabilities across Azure and Databricks environments. • Lead the implementation and optimisation of Databricks Unity Catalog. • Define and implement metadata management, data lineage, and data catalogue capabilities. • Design governance operating models, standards, policies, and controls. • Configure and integrate governance tooling including Collibra and Microsoft Purview. • Develop business, technical, and end-to-end lineage frameworks. • Define data ownership, stewardship, classification, and access management processes. • Partner with Data Engineering, Architecture, Security, and Business teams to embed governance across the platform. • Support stakeholder workshops, requirements gathering, and governance adoption activities. • Produce architecture documentation, governance frameworks, solution designs, and implementation roadmaps. • Support governance best practices across data quality, metadata management, security, and compliance.

• Build and optimise data pipelines within Azure Databricks • Support migration of existing Azure Synapse notebook pipelines • Design scalable data models and storage patterns within Delta Lake • Integrate historical data from on-premise data warehouses • Build new ingestion pipelines from SQL Server stored procedures • Implement scalable ingestion frameworks and reusable pipeline patterns • Collaborate with global data engineering teams across the UK and India • Contribute to best practices and platform standards for future pipeline development

• Design, develop, and maintain Azure Data Factory (ADF) pipelines for reliable data ingestion and orchestration • Develop and optimize Databricks notebooks for large-scale data processing and transformations • Implement robust ELT/ETL processes integrating multiple data sources into Snowflake • Perform data modeling using modern approaches, including Data Vault 2.0 • Write, optimize, and maintain complex SQL statements and SQL scripts • Ensure data quality, performance optimization, and scalability across data pipelines • Collaborate with stakeholders, data architects, and downstream analytics teams to deliver high-quality data solutions • Troubleshoot, monitor, and improve existing data workflows in production environment

• Design, develop, and maintain scalable data pipelines on Microsoft Azure • Build and manage real-time and batch data processing solutions using Kafka, Spark, and Python • Develop and optimize ETL/ELT workflows using Azure Data Factory (ADF) • Work extensively with Databricks for large-scale data processing and analytics • Design, develop, and optimize Snowflake data models and queries • Write efficient and optimized SQL for data transformation and analysis • Process and manage structured and semi-structured data, including XML and JSON formats • Collaborate with cross-functional teams to support data-driven solutions • Ensure data quality, reliability, performance, and scalability of data systems • Follow best practices for cloud infrastructure, security, and performance optimization

• Identify and develop new business opportunities across public and private sector organisations • Build relationships with prospective clients and key decision-makers • Support the management and growth of existing customer accounts • Generate qualified sales opportunities through research, networking, referrals, and outreach • Arrange and attend client meetings, presentations, and discovery sessions • Travel to client sites for face-to-face meetings, workshops, and relationship-building visits • Prepare proposals and presentations with support from the consulting team • Maintain an accurate sales pipeline using HubSpot CRM • Represent Billigence at networking events, exhibitions, and industry forums • Develop relationships with strategic partners to identify joint opportunities and support go-to-market initiatives • Stay informed on market trends and evolving customer needs