Instil
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Instil. Skills: Data engineering, Data platforms, Data pipelines. Build data platforms. Support data platforms”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
2-5 years commercial experience, Experience with production data, Problem-solving skills, Clear communication skills, Python for data processing, AWS data services, Designing, building, and maintaining ETL / ELT pipelines, SQL skills, Working with a cloud data warehouse, Handling semi-structured data
Nice to Have
Experience with data orchestration tools, Exposure to CI/CD practices, Familiarity with analytics or BI use cases, Awareness of data governance concepts, Experience working in agile teams
What You'll Do.
Support data platforms
Work across cloud data stack
Partner with engineers
Partner with analysts
Deliver reliable data
Deliver well-modelled data
Design data pipelines
Improve data pipelines
Develop depth in data engineering practices
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Clear communication
Process & Methodology
Agile
Full Job Description
The Role We’re looking for a Data Engineer with solid commercial experience building and supporting data platforms and pipelines. You’ll work hands‑on across our cloud data stack, partnering with engineers and analysts to deliver reliable, well‑modelled data that supports analytics and downstream use cases. This role is focused on practical delivery; designing, building, and improving data pipelines, while developing depth across modern data engineering practices. Essential Skills - 2–5 years’ commercial experience in a data engineering or data‑focused software engineering role. - Experience working with production data, including considerations around data quality, reliability, and failure handling. - Strong problem‑solving skills and an ability to work effectively with incomplete or evolving requirements. - Clear communication skills and experience collaborating within cross‑functional teams. Commercial experience including a combination of the following: - Python for data processing, transformation, and pipeline development - AWS data services such as S3, Lambda, Glue (or comparable cloud services) - Designing, building, and maintaining ETL / ELT pipelines in production environments - Strong SQL skills, including complex queries and performance tuning - Working with a cloud data warehouse such as Snowflake (or similar), covering data models, pipelines, and warehouse objects - Handling semi‑structured data (e.g. JSON, Parquet) alongside structured datasets Desirable Skills - Experience with data orchestration or scheduling tools. - Exposure to CI/CD practices for data pipelines. - Familiarity with analytics or BI use cases and consumers of data. - Awareness of data governance, access control, or security concepts. - Experience working in agile, delivery‑focused teams. Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That’s why we’ve built a benefits package that supports your wellbeing, growth, and life outside of work, becaus
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