[Hiring] Data Engineer @Rayda

Role Description

This is a remote position.

• Design, build, deploy and maintain scalable, production-grade data pipelines and ETL/ELT workflows.
• Integrate data from operational databases, APIs, CRM systems, product analytics, IT ticketing platforms and device telemetry.
• Evaluate and implement appropriate data warehouses, lakehouses and analytical databases.
• Develop reliable data models and reusable datasets for business reporting, product analytics and customer-facing applications.
• Build the data infrastructure supporting customer intelligence dashboards, anomaly detection, predictive insights and AI-powered recommendations.
• Establish data quality standards, automated validation, monitoring, alerting and recovery mechanisms.
• Improve data collection, instrumentation, schema management and data documentation.
• Implement secure data processing practices, access controls and customer-level data isolation.
• Optimise data storage, processing performance, scalability and infrastructure costs.
• Collaborate with Product, Engineering, Finance and Operations to translate business requirements into reliable data solutions.
• Maintain technical documentation covering data architecture, integrations, pipeline dependencies and operational procedures.

Qualifications

• Demonstrated experience designing, deploying and maintaining production-grade data pipelines.
• Strong SQL proficiency and experience working with relational databases and complex datasets.
• Hands-on experience with ETL/ELT processes, incremental data processing, transformations and pipeline monitoring.
• Proficiency in Python or another suitable data engineering programming language.
• Experience integrating databases, REST APIs, SaaS platforms and external data sources.
• Experience designing and implementing data warehouses, lakehouses or analytical data platforms.
• Strong knowledge of data modelling, data quality, validation and schema management.
• Familiarity with cloud infrastructure, data storage, access controls and production reliability.
• Ability to evaluate technical architecture based on performance, scalability, cost and business requirements.
• Strong analytical, problem-solving and independent execution skills.

Requirements

• Experience working with B2B SaaS platforms and multi-tenant architectures.
• Familiarity with dbt, Airflow, Dagster, ClickHouse, BigQuery or Snowflake.
• Experience with device telemetry, time-series data, IT operations or cybersecurity platforms.
• Knowledge of event-driven architecture, streaming data and high-volume operational events.
• Experience building data infrastructure for AI, machine learning or predictive analytics.
• Previous experience in an early-stage or high-growth technology environment.

Benefits

• Opportunity to build foundational data infrastructure supporting a growing global IT operations platform.
• Ownership of important engineering architecture and technical decisions.
• Opportunity to develop data solutions that directly influence customer-facing product capabilities.
• Exposure to data engineering, AI-powered intelligence and emerging IT operations technologies.
• Cross-functional collaboration with Product, Engineering, Finance and Operations.
• Opportunity to solve complex, real-world data challenges and contribute to Rayda's product evolution.