Data Engineer

About Sharesource:

We are a BCorp company whose purpose is to democratise opportunities for individuals from developing countries. With our brand and culture empowering our partners to attract and keep the most qualified members, we share the knowledge to unleash potential and grow scaling teams for Australian and Canadian businesses.

What are we looking for?

We are seeking a hands-on Data Engineer to support our growing data infrastructure. In this role, you will be responsible for building and maintaining scalable ETL/ELT pipelines using Databricks and modern cloud tools. In addition, you will temporarily support our business intelligence needs, maintaining and building visualizations and reports in ThoughtSpot (or a similar BI platform). You'll work alongside our Lead Data Engineer, who will provide architectural guidance and strategic direction for our data transformation efforts.

This role is ideal for a data engineer who is comfortable working across the stack — from raw data ingestion and transformation to BI layer support — with a strong emphasis on data quality, reliability, and usability.
What are you expected to do?

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Data Engineering
- Build, maintain, and optimize robust ETL/ELT pipelines using Databricks.

- Contribute to the design and implementation of data lake and data warehouse architecture.

- Translate business requirements into reliable and scalable data solutions.

- Collaborate with the Lead Data Engineer on data modeling, pipeline design, and cloud infrastructure best practices.

- Implement monitoring, alerting, and logging for data pipelines to ensure data integrity and reliability.

- Participate in sprint planning, technical documentation, code reviews, and team collaboration rituals.

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BI & Reporting Support
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Maintain and support dashboards and reports in ThoughtSpot.

- Assist stakeholders with ad hoc data queries and visualization needs.

- Ensure availability and accuracy of key business metrics during the analyst's leave period.

- Translate complex datasets into usable, decision-support insights.

You'll be a great fit if:

- You have at least 3 years of experience as a Data Engineer , ideally within an Australian company or supporting Australian clients.

- You have strong experience building and managing ETL or ELT pipelines in Databricks or similar platforms.

- You are proficient in Python and SQL for data processing, transformation, and analysis.

- You have a deep understanding of data modeling and data warehousing concepts.

- You have experience with BI tools such as ThoughtSpot, Power BI, Tableau, or Looker.

- You follow solid version control and collaboration practices using tools like Git.

- You can collaborate effectively with both technical and non-technical team members.

- You have strong communication and problem-solving skills.

- You are amenable to work Monday to Friday (7:00 AM to 4:00 PM Manila Time).

We will be absolutely thrilled if you also have the following:

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Exposure to DevOps practices such as CI/CD (e.g., Azure DevOps),
infrastructure as code (e.g., Terraform).

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Experience working in a remote or distributed team environment.

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Experience working with cloud environments (AWS, Azure, or GCP).

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Familiarity with AWS services like S3, Lambda, EC2, SQS, and SNS.

What you gain beyond the role:

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Remote + Hybrid Flexibility: Enjoy the best of both worlds—collaborative office days when it counts, balanced with the freedom to work from home.

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Achieve Work-Life Balance and Flexibility: Work in an environment where you're trusted and empowered to work independently, while still having the support you need to deliver your best. Here, flexibility isn't just a perk—it's how we help you perform at your best, without sacrificing life outside of work.

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Open Culture: Your voice matters, we encourage proactive communication and fresh ideas.

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Supportive Team: From your very first day to every career milestone, we've got your back—wi