Analyst Engineer

We're looking for someone with strong professional experience in data engineering or analytics engineering, ideally with 5+ years working in data-focused roles. You'll have hands-on experience building and improving data pipelines, modelling complex datasets and delivering meaningful analytics. You'll be comfortable independently owning projects and improving how data is structured, managed and used.

Along that journey, you'll have worked with a variety of technologies and approaches, including:

• →SQL and analytical skills: Strong, hands-on SQL experience, including writing complex queries, modelling data and investigating datasets to answer meaningful product and business questions.
• →Data pipelines: Experience building and maintaining ETL/ELT pipelines, including data transformation, orchestration and automation.
• →Cloud data infrastructure: Experience with cloud-based data platforms, ideally GCP and BigQuery, although experience with AWS or Azure is equally valuable.
• →Programming: Strong proficiency in data engineering, including developing data pipelines, transformations and automation. Python experience is particularly valuable.
• →Data architecture: Experience designing scalable data warehouses, analytical layers and data structures, with an understanding of the trade-offs between different tech.
• →Data quality: Experience implementing testing, validation, monitoring and data quality frameworks.
• →Analytics and reporting: Hands-on experience using SQL to analyse complex datasets, develop meaningful metrics, build dashboards and produce insights that inform product or business decisions. You'll be comfortable delivering reporting and analysis yourself, not just building the infrastructure that supports it.

• Experience working in a startup or scale-up where you've built or significantly improved data infrastructure.
• Familiarity with version control, CI/CD, automated testing and infrastructure-as-code.
• Experience working with Firebase, Firestore or other NoSQL databases.
• Experience supporting customer-facing analytics products alongside internal reporting.
• Exposure to healthcare data, sensitive information or regulated environments.
• Experience with data governance, access controls and security practices.

Interviewing  for the role will be split into 4 stages (all conducted virtually):

1️⃣ A screening interview with someone from our People Operations team - 15 minutes

2️⃣ A practical task you will complete independently

3️⃣ A technical interview with our Director of Product, Lara

4️⃣ A final interview with our Director of Engineering, Dylan and Co-founder, James

Diversity and Inclusion
Isla is an equal opportunity employer and is committed to building an inclusive and diverse team. We encourage all qualified candidates to apply. Isla does not discriminate against anyone on the basis of their race, gender, disability, religion, national origin, age, or any other protected category. We choose to celebrate our team’s differences and see them as one of our most valuable assets.

Recruitment is not one-size-fits-all and we're happy to tailor our hiring process to better meet the needs of individual applicants. Please email recruitment@isla.health with any requests for support.