Senior Data Engineer, Data Platform team

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Docplanner

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🏪 Marketplace

☁️ SaaS

💰 Venture Round - DocPlanner on 2021-09

Healthcare • Marketplace • SaaS

Docplanner is a global healthcare platform that connects patients with doctors and supplies practice-management and patient-engagement tools to clinics and medical professionals. The company offers an integrated end-to-end solution to help patients find and book doctors, reduce no-shows, improve clinic workflows, and help doctors manage their online presence and reputations. Docplanner operates in 13 countries with over 2,800 employees, reports ~25 million appointments booked in a month, ~100 million monthly website visits, and about 300,000 active doctors using its services.

📋 Description

• Design, build, and operate scalable data ingestion and processing pipelines across many source systems • Lead platform architectural decisions and write adoption proposals • Improve platform reliability, observability, and cost efficiency • Develop infrastructure in cooperation with Platform engineers • Collaborate with analytics engineers, analysts, developers, platform engineers, and product managers • Improve data contracts, tooling, and self-service for data consumers • Mentor data engineers through code review, pairing, and design feedback • Drive automation and AI-assisted operations • Own architecture decisions from proposal through production • Ship and operate data platform solutions and shape the platform roadmap

🎯 Requirements

• Several years of experience building and operating production data platforms • Experience with data warehousing, data lakes, orchestration, ingestion, and event streaming • Strong Python and SQL skills • Solid software engineering practices, including testing, CI/CD, and code review • Deep experience with an orchestrator such as Airflow, including running, scaling, and debugging it • Strong experience with AWS and cloud data warehouses • Working knowledge of Docker and Kubernetes, including deploying, inspecting, and debugging workloads • Experience designing for failure, including idempotency, backfills, data quality checks, and monitoring • Strong written and verbal English communication skills • Proactive and pragmatic approach to problem solving • Must be based in Poland • Platform-leaning experience with Kubernetes operations, Terraform, Docker optimization, and CI/CD is useful • Enablement-leaning experience with ingestion, dbt modeling, and data serving is useful • Experience with streaming and message-driven architectures; RabbitMQ is a strong plus, Kafka or similar also counts • Spark or experience operationalizing ML models is a bonus

🏖️ Benefits

• 100% remote-friendly work environment • Remote or hybrid work model with a hub in Warsaw • Fully flexible working hours • 20/26 days of paid time off, depending on contract • Additional paid day off on birthday or work anniversary • Private healthcare plan with Signal Iduna for the employee and subsidized family coverage • Multisport card co-financing • Access to iFeel online psychological support and counseling • Free English and Spanish classes • Remote-first, flexible environment • Cross-functional team environment • Professional growth through mentoring, architecture ownership, and platform roadmap participation