Senior Data Engineer, SeQura

• 5+ years of experience working as a Data Engineer
• Product vision. Having impact on mind and experience on delivering incremental value to users
• Solid DBT knowledge and expertise. You can write complex queries and optimize them for performance, scalability, and ease of maintenance
• Fluency in English, both spoken and written

Desirable

• You will join the Data Platform team to help us pivot from being the ones that executes to being an enabler.
• Our mission is to build a Self-Service Data Platform as a Product, removing the friction for our Advanced users, Analysts, Scientists and Software Engineers
• You won’t just be building pipelines; you will be building the automated guardrails and tooling that allow every business unit to own their data lifecycle—from ingestion to discovery—autonomously.
• We are evolving our current stack (Airbyte, Airflow, dbt, S3, Redshift, Metabase, OpenMetadata) into a robust, "secure-by-default" ecosystem that scales with the company’s growth
• Decouple Data Operations: Transition our architecture from "centralized execution" to "centralized enablement," allowing teams to modify data models or ingestion frequencies Fully autonomously
• Compliance as Code: Programmatically enforce data quality, lineage, and PII anonymization to ensure the platform is compliant by design
• Infrastructure Excellence: Improve the efficiency and reliability of our global data movement, ensuring our stack (Redshift/S3/Airflow) is optimized for performance and cost
• Advocate Best Practices: Act as a bridge between Data and software, bringing DevOps rigor (CI/CD, testing, observability) and development XP practices to the data world

• Interview with the Hiring manager
• Technical take-home assessment
• Live Peer review of the assessment
• Meet the team