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

• 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