Senior Data Engineer, Databricks, PySpark

Job not on LinkedIn

🔥 1 hour ago

🇵🇱 Poland – Remote

💵 €38 / hour

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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Optiveum

WebsiteLinkedInAll Job Openings

1 - 10 employees

📦 Logistics

📣 Marketing

🏭 Manufacturing

Logistics • Marketing • Manufacturing

Optiveum is a recruitment and consulting company based on over 20 years of experience in HR and IT services. It operates both locally in Poland and internationally, offering candidates project-based or permanent job opportunities, either remotely or on-site. Optiveum specializes in placing professionals across various fields including IT, finance, accounting, and manufacturing, ensuring that both clients and candidates achieve their professional goals.

📋 Description

• Design and implement scalable data products using Databricks, Delta Lake, and PySpark • Build and maintain data pipelines processing complex datasets from ERP, procurement, sustainability, and external systems • Optimize workloads for performance, scalability, and cost efficiency • Build reusable engineering patterns • Implement automated data quality controls throughout the data lifecycle • Identify and resolve data issues before they impact reporting • Implement CI/CD pipelines, automated deployments, testing frameworks, and Infrastructure as Code • Support platform security controls and access management • Partner with sustainability experts, business analysts, and reporting teams on requirements gathering, solution design, and production releases

🎯 Requirements

• 5–7 years of experience designing, developing, and operating data platforms and pipelines • Extensive hands-on experience with Databricks, including Azure Databricks and Databricks Workflows, in production environments • Expert-level proficiency in PySpark, Python, Spark SQL, Data Modelling, and Data Pipeline Design • Experience implementing CI/CD pipelines for data engineering workloads • Git-based development and version control • Solid understanding of data lineage, metadata management, governance, auditing, and validation frameworks • Fluent English, both written and spoken • Proactive, self-driven mindset with strong troubleshooting and root-cause analysis skills • Experience with sustainability reporting, ESG data, and regulatory reporting requirements (nice to have) • Knowledge of procurement, supplier, finance, and ERP data domains (nice to have) • Experience developing Databricks applications, dashboards, or user-facing data tools (nice to have)

🏖️ Benefits

• Fully remote work from Warsaw • Full-time schedule of 40 hours/week • B2B cooperation agreement