Data Engineer - Data Structuring
IO TECH SOLUTIONS LIMITEDHong Kong, China
Posted January 10, 2026
Full Time
About the Company
IO Tech Solutions Limited is a leading IT talent and services provider that delivers end‑to‑end solutions—including IT staffing, consulting, payroll, and contracting—to clients across Hong Kong, Singapore, UAE, the UK, and Australia. With a combined 25 years of industry experience, the company builds strategic talent partnerships that give customers access to deep talent networks and real‑time market insights. IO Tech’s focus on aligning talent with business objectives ensures clients secure the most exciting opportunities in their respective markets. The firm’s reputation for inspiring opportunity and its global reach make it a distinctive partner for organizations seeking to accelerate growth through technology and talent excellence.
Job Description
We are seeking a Senior Data / Streaming Engineer with 5–7 years of experience to design, build, and operate scalable real-time and batch data processing platforms. The role focuses on stream processing, cloud-native data pipelines, and analytics systems running on AWS.
Requirements
- 5–7 years of professional experience in data engineering, streaming platforms, or distributed systems
- Strong hands-on experience with Apache Flink / PyFlink and/or Apache Spark for stream and batch processing
- Proficient in Python for data engineering and automation (Pandas, Polars, boto3, PyArrow)
- Solid experience with Apache Kafka or AWS MSK, including streaming concepts such as partitions, offsets, and consumer groups
- Strong understanding of AWS cloud services, particularly S3, MSK, Managed Flink, CloudWatch, and IAM
- Advanced SQL skills, including data transformation and query optimization (Flink SQL preferred)
- Experience with ClickHouse or similar OLAP databases, and Grafana for dashboards and monitoring
- Working knowledge of Docker and Kubernetes fundamentals
- Experience with Apache Airflow for pipeline orchestration and scheduling
- Good understanding of distributed systems, fault tolerance, and performance tuning