Senior Data Engineer – Data Platform Team

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🔥 0 minutes ago

🌐 Spain, Poland – Remote

🇪🇸 Spain – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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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 architectural decisions and write proposals for platform adoption • Improve platform reliability, observability, and cost-efficiency • Develop infrastructure in close cooperation with Platform engineers • Collaborate with analytics engineers, analysts, developers, platform engineers, and product managers to turn ambiguous data problems into shipped solutions • 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 platform systems while shaping the platform roadmap

🎯 Requirements

• Several years of experience building and operating production data platforms, including 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 Airflow, including running, scaling, and debugging the orchestrator • 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 • Very good English communication skills, spoken and written • Experience with streaming and message-driven architectures • Proactive and pragmatic approach to solving technical problems • Platform-leaning experience with Kubernetes operations, Terraform, Docker optimization, and CI/CD, or enablement-leaning experience with ingestion, dbt modeling, and serving data • RabbitMQ experience is a strong plus; Kafka or similar experience is also relevant • Spark or experience operationalizing ML models is a bonus • Must be based in Spain • Must have permission to work in the applicable European location without visa sponsorship, as addressed in the screening questions

🏖️ Benefits

• Flexible remuneration and benefits system via Flexoh, including restaurant card, transportation card, kindergarten, and training tax savings • Remote or hybrid work model with hub in Barcelona • Flexible working hours • Summer intensive schedule during July and August • 23 paid holidays, with exchangeable local bank holidays • Additional paid holiday on your birthday or work anniversary • Private healthcare plan with Adeslas for you and subsidized for your family, including medical and dental coverage • Access to hundreds of gyms through Andjoy for you and your family • Access to iFeel online psychological support and counseling • Free English and Spanish classes