Senior Software Engineer, Data Platform

Job not on LinkedIn

🔥 9 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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G-P

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

G-P is a leading global company specializing in Employer of Record (EOR) solutions, providing businesses with the tools to hire, onboard, and manage teams in over 180 countries quickly and compliantly. The company offers a comprehensive suite of global employment products under its G-P Meridian Suite™, including services for hiring employees and contractors, managing global payroll, time management, expenses, HR support, and employee assistance. G-P is recognized for its compliance expertise, featuring the world's first AI-based HR compliance advisor, G-P Gia™, which delivers AI-driven advice and solutions for HR compliance challenges. With a strong network of partners and industry-leading EOR SaaS solutions, G-P supports HR, legal, and financial compliance globally. Their offerings are designed to simplify the employment lifecycle and accelerate global business expansion.

📋 Description

• Design and implement internal SDKs and self-service frameworks enabling distributed engineering teams to ingest and transform data autonomously • Create reusable patterns for batch and real-time event processing • Own the cost-effectiveness of the Databricks ecosystem • Tune Spark execution plans and optimize shuffle partitions • Implement auto-scaling strategies to manage DBU consumption • Balance latency, throughput, and cloud spend as platform volume grows • Implement Schema-on-Write validation and Data Contracts before data reaches the Bronze layer • Partner with the Data Architect and Data Stewards on data privacy, security standards, and metadata lineage • Champion AI-assisted development tools such as GitHub Copilot and Cursor • Mentor engineers on distributed computing best practices • Conduct deep-dive code reviews focused on scalability and maintainability

🎯 Requirements

• 5+ years of experience building and operating production-grade data systems at massive scale • Deep, hands-on mastery of the Databricks/Spark ecosystem, including Delta Lake, DLT, Spark UI debugging, and performance tuning • Proven track record of building real-time/streaming architectures using Spark Structured Streaming, Kafka, or Kinesis as a core production requirement • Experience managing and optimizing cloud costs in a high-growth environment • Experience building APIs, tools, or frameworks used by other internal engineering teams

🏖️ Benefits

• Annual bonus for non-sales roles, paid based on individual and company performance in addition to base salary • Generous paid parental leave • Flexible time off • Spending accounts • Medical insurance • Dental insurance • Vision insurance • Sabbatical after 5 years • Flexible work arrangements through remote-first teams • Resources and flexibility for remote-first employees