Join our dynamic team as a Data Engineer , where you'll play a crucial role in delivering top-notch support for data engineering processes and driving impactful results for multiple clients. About INGRITY: INGRITY is a progressive data and analytics company. delivering actionable insights to drive impact. We’ve seen success in leading and delivering major data transformation programs in large and medium enterprises in Australia. We assist our clients in improving their internal data and analytics capabilities and think innovatively about solving critical business issues with data. At INGRITY: Imagine the Impossible: It's not just an aspiration for our clients; we expect the same from our team. INGRITY isn't your typical workplace; we thrive on the fusion of Intelligence & Grit. Prioritising personal growth, open communication, continuous learning, career progression, and accountability, we're on the lookout for individuals like you. Do you seek roles fostering personal growth, allowing you to excel? Do you flourish in a culture that values open communication and diverse perspectives? Are you passionate about expanding your skills, eager to join a company that invests in employee development? Are integrity and accountability at the core of your values? If you answered yes to any of these questions, we invite you to explore opportunities with us and join a team committed to data smart excellence. Do work that matters Join us and do work that truly matters. Our customers encounter obstacles on their journey to become data smart, facing challenges like data silos, quality issues, and legacy infrastructure constraints. Navigating regulatory requirements adds complexity to the task. With vast data volumes, extracting meaningful insights becomes daunting. At INGRITY, we specialise in providing innovative solutions and customized strategies that empower businesses to adopt Data Smart practices, effectively transforming data into a strategic asset. Becoming part of our team means you will assist in empowering companies to embrace data intelligence, enabling them to make informed decisions, boost operational efficiency, foster sustainable growth, and enhance customer experiences in today's dynamic business environment. Are you ready to step into your greatness and imagine the impossible? Job Summary: We are looking for a skilled Data Engineer to join our team and support data engineering processes across various customers. The Data Engineer is responsible for data engineering tasks, troubleshooting and resolving data-related issues, ensuring data quality, optimizing data workflows, and providing Level 2 support. Serving as the escalation point for complex issues from clients or Level 1 support, this role works closely with other data engineers and architects to maintain the seamless operation of the clients’ data infrastructure. This position requires an early start to ensure timely support. Key Responsibilities: Incident Resolution: Investigate and resolve data-related incidents, including issues with data pipelines, ETL processes, and data transformations. Monitoring & Alerts: Monitor system alerts for data jobs and pipelines, resolving issues that arise to ensure timely and accurate data delivery. Data Quality: Ensure the integrity and quality of data by validating data transformations, performing routine checks, and debugging data anomalies. Optimisation: Identify and implement performance improvements in data pipelines and processes. Support Documentation: Maintain comprehensive documentation of common issues, resolutions, and processes to improve future incident response. Collaboration: Work with cross-functional teams, including Data and BI teams, and IT, to ensure alignment and continuity of data solutions and infrastructure. ETL Troubleshooting: Diagnose and resolve issues in ETL workflows, ensuring seamless data flow between systems. Root Cause Analysis: Perform root cause analysis for recurring data issues, proposing and implementing long-term fixes. Stakeholder Communication: Effectively communicate the status of incidents and solutions to stakeholders and business users. Skills & Qualifications: 2 years of experience in data engineering, focusing on supporting data workflows and data platforms. Technical Skills: Strong SQL skills for data extraction, transformation, and analysis. Solid experience with data pipeline technologies, particularly in using Azure Data Factory (ADF) to build and manage ETL workflows. Experience with Power BI for data visualization and reporting. Proficient in SQL, including the ability to write complex SQL queries for data extraction, transformation, and analysis. Experience with cloud platforms (e.g., Azure) and associated data services. Understanding of database systems (e.g., MySQL, PostgreSQL, MongoDB). Proficient with version control and CI/CD practices. Problem-Solving: Strong troubleshooting and analytical skills to quickly resolve data issues. Ability to communicate effectively with technical and non-technical stakeholders. High level of accuracy and attention to detail when resolving incidents and ensuring data quality. Education: Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience). Please note the following for this position: Location: Sydney, Australia. Eligibility: Candidates must have full working rights in Australia. This position is for a Data Engineer , focused on Level 2 support, with an early start required to ensure timely assistance. Take the next step in your data engineering career by joining a team that values innovation, technical expertise, and continuous growth. If you're driven by the challenge of optimizing data platforms and delivering effective support, this is the perfect opportunity for you 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.