Role Description

We are seeking a technically skilled and analytical Data Engineer / Technical Support Engineer to design, maintain, and optimize data solutions while providing reliable technical support for business systems and technology platforms. This role combines data engineering expertise with technical troubleshooting capabilities to ensure data availability, system reliability, and efficient technology operations. The ideal candidate has strong problem-solving skills, experience with data platforms, and a customer-focused approach to delivering scalable and secure technical solutions.

Key responsibilities include

Design, develop, and maintain scalable data pipelines for collecting, processing, transforming, and integrating data from multiple sources.

Build and optimize ETL/ELT workflows to ensure accurate, reliable, and efficient data processing.

Develop and maintain data models, databases, data warehouses, and analytical datasets to support business intelligence initiatives.

Perform data validation, quality checks, troubleshooting, and performance optimization across data systems.

Support database administration activities, including monitoring, query optimization, backup processes, and data integrity management.

Provide technical support for software applications, databases, systems, hardware, and infrastructure-related issues.

Diagnose, troubleshoot, and resolve technical incidents, service requests, and system performance issues.

Collaborate with data analysts, software engineers, IT teams, business users, and stakeholders to deliver effective technology solutions.

Monitor system performance, data pipelines, applications, and infrastructure to ensure reliability and availability.





Develop automation scripts and tools to improve data workflows, operational efficiency, and support processes.

Maintain technical documentation, system configurations, data dictionaries, knowledge bases, and troubleshooting procedures.

Support cloud-based data platforms, application environments, and enterprise technology solutions.

Assist with system upgrades, software deployments, integrations, and technology improvement initiatives.

Ensure compliance with cybersecurity policies, data governance standards, privacy requirements, and organizational procedures.

Analyze recurring technical issues and recommend solutions to improve system stability and user experience.

Evaluate emerging data technologies, AI-powered tools, automation solutions, and technical support best practices.

Drive continuous improvement initiatives that enhance data reliability, operational efficiency, and technology service quality.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Information Systems, or a related field.

Robust understanding of data engineering concepts, database management, system support, and IT operations.

Proficiency in SQL for data querying, transformation, optimization, and troubleshooting.

Experience with programming or scripting languages such as Python, Java, Scala, Bash, PowerShell,



or similar technologies.

Knowledge of ETL/ELT processes, data pipelines, data warehouses, data lakes, and data integration frameworks.

Familiarity with databases such as MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, or similar platforms.

Understanding of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

Familiarity with data engineering tools such as Apache Airflow, dbt, Spark, Databricks, Snowflake, BigQuery, or similar technologies is an advantage.

Knowledge of IT support practices, incident management, troubleshooting methodologies, and IT Service Management (ITSM) processes.

Familiarity with operating systems including Windows and Linux, networking fundamentals, and enterprise applications.

Experience with ticketing systems such as ServiceNow, Jira Service Management, Zendesk, Freshservice, or similar platforms.

Understanding of monitoring, logging, and performance management tools is beneficial.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent written, verbal, and interpersonal communication abilities with a strong customer service mindset.

Ability to manage multiple priorities and resolve technical issues in a fast-paced environment.

High attention to detail with a commitment to data quality, system reliability, security, and operational excellence.

Ability to work independently while collaborating effectively with cross-functional teams.

Professional attitude with integrity, accountability, adaptability, and a continuous improvement mindset dedicated to delivering reliable data solutions and high-quality technical support services.

📌 DataEnginer / Technical Support Engineer (Australia)
🏢 Center for Black Entrepreneurship
📍 Australia