Senior Data & Analytics Engineer
Senior consultant leading technical delivery of large-scale data platform and BI solutions for clients: running stakeholder workshops to gather requirements, building scalable data pipelines, optimizing Snowflake data models, and orchestrating workflows with Apache Airflow. Core stack: Python, SQL, Snowflake, Airflow, with CI/CD and cloud platforms.
- Compensation
- Not disclosed
- Location
- Pateros, Philippines
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's degree in Computer Science or related discipline
- Excellent verbal and written communication skills for 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 (tables, views, schemas, stages, stored procedures)
- 5+ years developing data engineering solutions using Python and SQL, including automation, data processing, and integration with Snowflake and Apache Airflow
- 5+ years using Apache Airflow to build, schedule, monitor, and support data pipelines, including workflow dependencies and troubleshooting
- 5+ years designing and implementing enterprise data warehouse solutions, including dimensional modelling (star and snowflake schemas) and Slowly Changing Dimensions (SCD)
- Experience with CI/CD practices and deployment pipelines
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform
Nice to have
- Experience with dbt (Data Build Tool)
- Advanced skills in Azure, Fabric, and Snowflake pipelines; experience with Azure Data Factory, Coalesce, Matillion, dbt, Databricks, Fivetran, and Airflow
- SnowPro, Coalesce, Microsoft Azure, or Microsoft Fabric certifications highly regarded
- Strong skills in data platform implementation, configuration, performance and cost management tuning (Azure, Fabric, Snowflake)
- Hands-on experience with Power BI and/or other BI and data visualization tools
Full description
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.
And Qualifications 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.