qlub - Data Engineering Lead
Requirements
• You own outcomes, yours and your team's, and decide well without full information • You keep things simple, know what decisions cost, and explain the trade-offs • You use AI to move faster without giving up security, quality or judgement • You grow people, and you communicate clearly across teams and time zones • 6+ years in data or backend engineering, predominantly on production systems. • At least 1 year leading or mentoring data engineers, as a tech lead, team lead or senior engineer with clear technical ownership. • A track record of owning a data platform, or a significant part of one, across architecture, reliability and cost. • Strong Python, with extensive experience building and debugging production pipelines and services. • Advanced SQL, including window functions, complex transformations and query performance analysis. • 2+ years of production dbt experience: incremental models, macros, tests and documentation. • Hands-on experience operating Apache Airflow in production, including backfills, monitoring and troubleshooting. • Production experience with BigQuery: data modelling, partitioning, clustering, and query and cost optimisation. • Working knowledge of GCP, including Cloud Storage, IAM and cloud data infrastructure. • Solid PostgreSQL knowledge: indexing, query performance and incremental extraction. • Experience with Apache Flink or a comparable stream or distributed processing framework. • Confidence on Linux: Bash, cron, Docker on VMs, log analysis, SSH and basic networking. • Strong engineering practice: Git, CI/CD, automated testing and code review. • Production experience with ClickHouse, including performance tuning, materialised views and cluster operations. • Managed ELT platforms such as Airbyte or Fivetran. • CDC and event streaming with Datastream, Kafka or Debezium. • Kubernetes and Terraform. • BI tools such as Tableau or Power BI, and an understanding of BI performance. • LLM APIs, retrieval-augmented generation (RAG) and agent frameworks. • Data observability tools such as Soda, Great Expectations or Monte Carlo. • AWS services, including EC2, S3 and RDS. • Data governance for payments data, such as PCI DSS. • Experience in payments, fintech, hospitality technology or a high-growth marketplace.
Benefits
• The end of a great meal shouldn't be the slow part. Waiting for the check, finding someone to take payment, splitting a bill by hand. qlub removes that friction. Guests scan a QR code and pay in seconds. No app, no download, no waiting. • From Pay-at-Table and Digital Menus to Order-and-Pay, Payment Links, and SoftPOS terminals, we handle the full payment experience so restaurants can focus on what they do best: great hospitality. Less friction means faster table turnover, smoother operations, and higher profit. • We're a fast-scaling fintech backed by Mastercard, Mubadala, e& and Shorooq. $72M raised, live across multiple markets worldwide, and headcount doubled in the past year. We're building the teams that take us to the next stage. • Real ownership over products that impact millions of diners and thousands of restaurants globally • The opportunity to solve challenging problems in payments, hospitality, and customer experience • A fast-moving environment where great ideas quickly become reality • Close collaboration with experienced operators, builders, and industry experts • A chance to leave a visible mark on one of the fastest-growing restaurant technology companies globally • Ready to build? Join us and help shape how the world pays at the table. If that excites you, apply now. • Ready to build?
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