Data Infrastructure Engineer (Remote)

About the role

We are seeking a Data Infrastructure Engineer to design, build, and maintain scalable data pipelines and storage solutions for a global software development leader. This fully remote, full‑time position works closely with cross‑functional teams to deliver reliable data platforms that enable business insights.

Key responsibilities

• Design, develop, and optimise ETL/ELT pipelines for large‑scale data ingestion.
• Implement and maintain data warehouses and data lakes for analytical and operational reporting.
• Collaborate with data scientists and analysts to ensure data accessibility, quality, and integrity.
• Monitor pipeline performance, troubleshoot issues, and ensure high reliability.
• Document data architecture, processes, and standards for team reference and compliance.

Required profile

• Strong proficiency in SQL and experience with both relational and NoSQL databases.
• Hands‑on experience with ETL/ELT tools such as Airflow or Spark.
• Knowledge of data modelling and data‑warehouse design principles.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for data infrastructure.
• Excellent problem‑solving skills with a focus on scalability and performance.

Required skills

• SQL
• Relational databases
• NoSQL databases
• Airflow
• Spark
• ETL/ELT processes
• Data modelling
• Data‑warehouse design
• AWS
• GCP
• Azure

What we offer

• Competitive salary range of $140 K–$180 K per year.
• Opportunity to work with cutting‑edge data technologies in a globally recognised software company.
• Fully remote work environment with flexible hours.
• Inclusive culture that values technical excellence and innovation.