Senior Analytics Engineer - Python | Sydney | Contract Location: Sydney, Australia. Employment Type: Contract. About INGRITY: At INGRITY, we’re a Microsoft Data & AI Solution Partner passionate about building transformative data solutions. We work with leading ASX-listed enterprises and dynamic medium-sized businesses to deliver impactful outcomes through innovative data engineering and AI-driven analytics. Our success is grounded in customer-centric delivery, technical excellence, and a deep collaboration with Microsoft. About the Role: We're on the lookout for a Senior Analytics Engineer with strong hands-on analytics expertise, coupled with deep experience in data pipeline engineering using Python. This hybrid role is central to our evolution toward modern data platforms that leverage Python, cloud-native tools, and AI/ML frameworks. You’ll lead and contribute to the design and implementation of high-performing data pipelines and analytical workflows that support strategic initiatives, automation, and real-time decision-making. Key Responsibilities: Build and manage scalable Python-based data pipelines supporting multi-agent AI and advanced analytics use cases. Design, develop, and automate data ingestion, transformation, and delivery processes. Collaborate with analysts and data scientists to prepare high-quality datasets for AI/ML models and BI tools. Support the migration of Alteryx workflows to Python, with strategic input and hands-on execution. Optimize existing pipelines for performance, reusability, and operational stability. Create detailed technical documentation and design artefacts for analytics architecture. Operate and maintain production-grade data pipelines and orchestration systems. Partner with cross-functional teams to align data engineering with analytics, reporting, and business goals. Required Skills & Experience: 5 years of experience in Python-based data engineering, with a strong portfolio of building robust data workflows. Deep expertise in Python data libraries. Proven track record of building ETL/ELT pipelines, including API integrations. Strong background in preparing datasets for AI/ML models and analytical platforms. Experience with cloud data platforms (e.g., AWS S3, Redshift, Snowflake, BigQuery). Solid understanding of data modeling, data orchestration tools (e.g., Airflow, Prefect). Strong communication skills and ability to work in collaborative, fast-paced teams. Nice to Have: Experience working with Alteryx workflows and their migration to Python. Exposure to BI tools like ThoughtSpot. Other Details: Location: Sydney, Australia. Working Rights: Applicants must have full Australian working rights. Contract role with potential for extension based on performance and project needs. About INGRITY: We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data. At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility.