Data Engineer

About the role

BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks, and user-facing tools that enable stakeholders to assess, validate, and act on data quality issues.

Responsibilities

• Design and implement data pipelines to ingest, transform, and prepare data for quality validation and analysis.
• Develop logic to assess data integrity, completeness, and correctness across datasets.
• Build and support a web-based application using Dash and Mantine components to enable users to explore and validate data.
• Implement data validation rules, anomaly detection checks, and quality metrics.
• Translate business and analytical requirements into structured data models, fields, and transformations.
• Develop features that allow users to filter, review, and take action on flagged data issues.
• Ensure traceability of data through transformation steps, supporting auditability and reproducibility.
• Collaborate with stakeholders to understand workflows and design intuitive data review experiences.
• Optimize performance of queries and backend processes supporting the application.
• Support deployment and integration of application components within cloud environments.
• Contribute to documentation of data logic, validation rules, and system behavior.

Requirements

• 2–4+ years of experience in data engineering, analytics engineering, or similar roles.
• Strong proficiency in Python and SQL for data transformation and analysis.
• Experience building data-driven applications (e.g., Dash or similar frameworks).
• Familiarity with data quality concepts such as validation, completeness, and anomaly detection.
• Understanding of data modeling and structuring datasets for analytics use cases.
• Ability to translate analytical needs into technical implementations.
• Experience working in Agile environments and collaborating with cross-functional teams.

Qualifications

• Experience with Dash Mantine Components or similar UI libraries.
• Familiarity with cloud platforms (AWS or similar).
• Experience with data lineage, traceability, or audit frameworks.
• Experience supporting decision-support tools or operational analytics applications.