Data Engineer (Fintech)

Location: Fully remote; daily overlap from 12:00 to 18:00 GMT+3

Salary: $5,000–$7,000 gross per month

What you will do

• Design, build, and maintain a market data lakehouse from raw exchange feeds and vendor sources to reliable, petabyte-scale datasets.
• Decode and normalize PCAP, multicast UDP, ITCH, FIX, and vendor data into a unified canonical model with nanosecond timestamps.
• Build batch and streaming pipelines with Airflow, Spark, and dbt, including L2/L3 order-book reconstruction and gap handling.
• Own the Apache Iceberg over S3 lakehouse, including partitioning, schema evolution, snapshots, compaction, TTL, and storage cost optimization.
• Develop data contracts, validation, lineage, shared Spark and Polars access services, and Python and Rust producer SDKs.
• Implement monitoring, alerting, SLAs/SLOs, CI/CD, data-quality dashboards, and incident runbooks on Kubernetes/EKS.

Requirements

• 5+ years of experience building production-grade data systems and operating data lakes or lakehouses at scale.
• Hands-on experience with Apache Iceberg or comparable table formats, including partitioning, schema evolution, snapshots, compaction, and catalog operations.
• Expert Python skills, including Polars and/or PySpark, plus advanced SQL for complex aggregations, window functions, query optimization, and partition pruning.
• Experience with Airflow, Apache Spark, StarRocks, Linux, Docker, Kubernetes/EKS, and AWS S3.
• Experience with CI/CD, Terraform, ArgoCD, Grafana, Prometheus, and data-quality or observability practices.
• English fluency at B2+ level for documentation and collaboration; availability for the 12:00–18:00 GMT+3 overlap window.

Nice to have

• Market-data or network-packet experience, including PCAP, ITCH, FIX/FAST, multicast UDP, order-book reconstruction, and time-series data at scale.
• Experience normalizing OneTick, Refinitiv/Reuters, Bloomberg, or ICE data into a unified schema and symbology.
• Rust experience for high-performance capture and decoding.

Culture & Benefits

• Fully remote work with a daily GMT+3 collaboration window.
• Reimbursement for health insurance, sports, and personal development.
• Flat structure with substantial autonomy over working methods.
• Opportunity to expand the role as the team grows.