AWS Data Engineer

Data is the cornerstone.

In your role as a Data Engineer, you will join our Data Services Team - a multidisciplinary, self-steering group dedicated to evolving our operational and financial systems. Our vision is to deliver high-quality, scalable data solutions and products that empower self-service analytics, support data-driven decision-making, and foster innovation, efficiency, and satisfaction at SBP - all within a rapidly scaling environment.

We do more than just develop in-house applications. As a self-directed team, we take ownership of our work and value the freedom to innovate and experiment with new technologies and approaches. Our solutions are built to deliver end-to-end processes that advance our organization’s efficiency and effectiveness. We are proactive in seeking new opportunities to broaden the strategic impact and capabilities of every system we implement.

Whether integrating new SaaS applications or ensuring seamless data flow and connectivity between platforms, our focus is on building a robust and integrated systems landscape. The data solutions we create enable high-quality reporting and analytics, empowering BI specialists and business stakeholders alike. We manage the entire lifecycle: from implementation through to comprehensive integration while keeping data collection, quality, and insight generation at the center of our work.

Data is the cornerstone of our strategy. As part of our team, you'll have the autonomy to take initiative and responsibility for your work from start to finish. We believe in giving you the room to experiment, contribute your ideas, and help shape our data ecosystem. Together, we craft a solid data strategy to support decision-making across the business. By managing and transforming data, you will ensure our insights are actionable and drive success at every level of the organization.

Who are we looking for?

We are seeking a talented Data Engineer who is eager to take ownership, collaborate closely with peers, and drive projects forward.

In this role, you will thrive if you bring the following experience and attributes:

• Deep knowledge of AWS, particularly data services such as S3, Lambda, Glue, and Athena;
• Proficiency in Python and SQL, including familiarity with the broader data library ecosystem;
• End-to-end understanding of ETL processes;
• Hands-on experience with data pipeline and workflow orchestration tools such as Airflow (or similar platforms);
• Solid experience with Dimension Modeling and building scalable analytical data solutions;
• Experience with modern CI/CD tools and workflows (preferably Git);
• Background in Platform Engineering and Infrastructure as Code (e.g., AWS CDK, Terraform);
• Self-starter that likes to take end-to-end initiative and responsibility
• Ability to work both independently and collaboratively.

Nice to Have:

• Experience implementing or supporting Data Quality, Reliability, and Observability practices;
• Exposure to or interest in data architecture design;
• Familiarity with data governance or security best practices.

If you’re passionate about building robust, scalable, and reliable data solutions and want to have a tangible impact, we would love to hear from you.