Senior Data & Analytics Engineer
Full-time
Datacom
Description About Us At Datacom, we combine technology, expertise, and talented people to help organisations thrive in a rapidly changing world. As one of Australasia's leading technology providers, we work with customers across industries to solve real-world problems and deliver meaningful outcomes. Whether we're supporting governments, enterprise organisations, or growing businesses, we're committed to creating meaningful outcomes for our customers, communities, and each other. Our Team The Data and Analytics team are a progressive group of diverse and creative individuals with a deep love for all things data related. They build platforms and solutions that are leading edge and at the forefront of the technology curve. A close knit and fun team embedded within our rapidly growing Professional Services division, and part of the wider Datacom ecosystem. About The Role As a Senior Data & Analytics Consultant/Engineer, you will lead the technical delivery of large-scale data platform and BI solutions. You will be asked to design, implement and own the delivery of robust Data Platform solutions and end-to-end components. The role will work closely with principal consultants, practice leads, project managers, and client stakeholders and teams. This is a client facing role, so you'll need to be an excellent communicator and good with people. What You’ll Do
- Working with clients (businesses users) to gather, clarify requirements and business rules by running workshops with stakeholders.
- Provide overall thought leadership to our clients regarding data profiling and integration recommendations.
- Design, build, and maintain scalable data pipelines and data platform solutions.
- Develop and optimize data models, transformations, and database objects within Snowflake.
- Troubleshoot data pipeline issues and ensure the timely delivery of critical business data.
- Build, support, and enhance workflow orchestration processes using Apache Airflow.
- Contribute to CI/CD processes and DevOps practices to improve deployment reliability and efficiency.
- Ability to perform performance tuning and optimisation on new and/or existing data warehouse solutions.
- Provide detailed documentation, end user training and knowledge-transfer services to customers, and internal teams.
- Managing development life cycle using various source code management tools.
- Bachelor's degree in Computer Science or related discipline
- Excellent verbal and written communication skills to work collaboratively with technical and non-technical stakeholders.
- Proven track-record of designing and building modern data platforms in a Data Engineering or Analytics Engineering capacity.
- Hands-on experience designing and maintaining Snowflake database objects, including tables, views, schemas, stages, and stored procedures.
- 5+ years of experience developing data engineering solutions using Python and SQL, including automation, data processing, and integration with platforms such as Snowflake and Apache Airflow.
- 5+ years of experience using Apache Airflow to build, schedule, monitor, and support data pipelines, including managing workflow dependencies and troubleshooting operational issues.
- 5+ years of experience designing and implementing enterprise data warehouse solutions, including dimensional modelling (star and snowflake schemas) and Slowly Changing Dimensions (SCD).
- Experience working with CI/CD practices and deployment pipelines.
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
- Experience with dbt (Data Build Tool) is a plus.
- Advanced skills in Azure, Fabric, and Snowflake pipelines, with experience in tools such as Azure Data Factory, Coalesce, Matillion, dbt, Databricks, Fivetran, and Airflow (must have)
- SnowPro, Coalesce, Microsoft Azure, or Microsoft Fabric certifications are highly regarded.
- Strong skills in data platform implementation, configuration, performance and cost management tuning (i.e. Azure, Fabric, Snowflake)
- Hands-on experience with Power BI and/or other business intelligence and data visualization tools.
Vacancy posted 17 hours ago
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