Senior Data Engineer, Databricks

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 €38 / hour

⏳ Contract/Temporary

🟠 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 data processing solutions using Databricks for large-scale and diverse datasets • Design, build, and enhance data pipelines with Python and cloud-native tools • Work closely with solution architects to define and uphold best practices in data engineering • Ensure data consistency, security, and scalability within cloud-based environments • Build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP • Leverage modern data frameworks, programming methodologies, and DevOps best practices

🎯 Requirements

• Solid commercial experience in data engineering, coupled with hands-on Databricks expertise • Strong proficiency in Python for automation and data transformation • Commercial experience working with at least one major cloud platform (AWS, Azure, or GCP) • Strong communication skills • Advanced command of both English and Polish • Solid understanding of SQL, including experience in query optimization and data modeling • Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep) • Experience with real-time data streaming technologies such as Kafka or Spark Streaming • Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse • Hands-on experience with PySpark for distributed data processing • Relevant industry certifications, e.g. Databricks Certified Data Engineer Associate or cloud-based data certifications