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 focuses on delivering reliable data platforms that enable business insights and decision‑making.

Key responsibilities

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

Required profile

• Strong proficiency in SQL and experience with both relational and NoSQL databases.
• Hands‑on experience with ETL/ELT orchestration tools such as Airflow or Spark.
• Solid understanding of data modelling and 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
• Data modelling
• Data warehouse design
• AWS
• GCP
• Azure

What we offer

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