🧭 Navigating the position: Data Engineering Team Lead
As Data Engineering Team Lead at OneOcean you will lead a team of data engineers designing, developing and operating the ingestion, transformation and modelling pipelines that power our analytics platform. You will lead by example, driving engineering excellence, ensuring delivery of high-quality, scalable data products, and fostering a collaborative and innovative team culture. Working closely with other Team Leaders, Architects and Product, you will help shape technical direction, streamline delivery processes, and ensure alignment with business goals. This is a fully remote, Philippines-based role.
🚢 Your Voyage Ahead:
- Lead a team of data engineers, ensuring alignment on goals, quality and delivery timelines.
- Mentor and coach team members to support their technical and professional growth.
- Drive engineering excellence by promoting best practices in coding, architecture, testing and observability.
- Plan and manage team capacity, sprints and milestones to ensure predictable delivery.
- Own the design, evolution and operation of ingestion and transformation pipelines on Apache Airflow and the analytical serving layer on Apache Druid.
- Make architectural calls on concurrency, partitioning, memory sizing and cost — including JVM heap and direct-memory tuning on the Druid cluster.
- Collaborate closely with DevOps on the Kubernetes / EKS platform that hosts our Druid and Airflow workloads.
- Ensure robust data validation, reconciliation and verification so that reporting is trustworthy.
- Collaborate with other Team Leaders, Development Managers, Architects and Product Owners to align engineering execution with business objectives.
- Contribute to the evolution of development processes, CI/CD pipelines and DevOps practices.
- Foster a culture of continuous improvement, innovation and knowledge sharing.
🚢 Recommended to bring on board:
- 10+ years of commercial experience delivering Data & Analytics solutions.
- 5+ years leading a Data Engineering or BI team with a solid grasp of Agile methodologies (Scrum / Kanban).
- Strong hands-on expertise in Apache Airflow — production DAG authoring in Python; hooks, sensors, XCom, callbacks, retries; dynamic task mapping.
- Production-grade Python — type hints, packaging, pytest; comfortable reading and reviewing other people's DAGs.
- Apache Druid (ingestion-side) — index_parallel specs, transformSpec / dimensionsSpec / granularitySpec, tuningConfig, supervisors, task lifecycle, segment management; familiarity with Coordinator / Overlord / Broker / Historical / MiddleManager roles.
- Strong PostgreSQL — query tuning, JSONB, window functions, indexes, EXPLAIN / EXPLAIN ANALYZE.
- SQL fluency across dialects (Postgres, T-SQL, Oracle); comfortable optimising queries.
- AWS