Senior Data Engineer

About XYZ Reality

XYZ Reality is an acclaimed Series-A stage start-up focused on revolutionizing the construction industry. We operate as a multi-disciplinary, dynamic team working across cloud development, data governance, embedded software/hardware, mechanical design and manufacturing, AI, computer vision, and data science—all contributing to our Building Information Modeling (BIM) platform's expansion, enhancement, and scalability.

Role Overview

We are looking for a skilled Data Engineer proficient in data modelling, database management, and pipeline construction. This role entails collaborating closely with API/back-end developers and the data pipeline team to deliver high-performance, scalable solutions supporting our technology stack and new feature development.

Key Responsibilities

• Create and maintain data pipelines built on Dagster using Python.
• Construct and implement efficient data models aligned with application and product requirements.
• Author SQL queries and stored procedures for data pipelines and APIs.
• Identify bugs, maintain, and enhance current codebases.
• Develop and run unit and integration tests for software reliability assurance.
• Conduct performance profiling and stress tests to optimize system responsiveness and efficiency.
• Produce clear documentation for data models, ETL/ELT pipelines, and related code.
• Engage with cross-functional teams such as client app and cloud teams to ensure cohesive development workflows.
• Remain versatile and participate in adopting new technologies and technical areas as necessary.

Candidate Profile and Requirements

• Bachelor's degree in Computer Science or a closely related field, or equivalent practical experience in database and pipeline engineering.
• Proficient with code-driven orchestration tools, preferably Dagster or Airflow.
• Strong background in relational database systems, especially PostgreSQL, and SQL query development.
• Expertise in Python programming with strong object-oriented design skills.
• Experience in designing data models for transactional and analytic systems.
• Advanced debugging, troubleshooting, and performance tuning capabilities.
• Familiarity with Git, including active participation in code reviews.
• Excellent communication and collaborative abilities.
• Motivated to develop proprietary tech stacks as well as integrate commercial off-the-shelf software solutions.

Preferred Skills

• Experience with CI/CD workflows using tools like GitHub Actions and Liquibase.
• Knowledge of API architectures such as REST and GraphQL.
• Comfortable working in Linux environments.
• Exposure to containerization and orchestration technologies such as Docker and Kubernetes.
• Experienced with Test-Driven Development methodologies, PyTest, and software design patterns.

Benefits and Perks

• 25 days of paid annual leave in addition to public holidays.
• Private healthcare coverage through Vitality.
• Annual Christmas shutdown days (typically two to four days).
• Office conveniently located within five minutes of Angel station.
• Flexible hybrid work arrangements.
• Biannual salary reviews.
• Regular social events including summer and Christmas staff parties.
• Complimentary lunches and biweekly social gatherings in the office on Thursdays.
• Employee referral incentives.
• Opportunity to make a tangible impact by transforming the construction sector.