Data Engineer, Databricks/Azure

Job not on LinkedIn

🕒 September 4, 2025

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 46%

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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Infotree Global Solutions

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Infotree Global Solutions is a staffing and workforce management company that aims to meet the career needs of individuals while ensuring client satisfaction through its resources. It is heavily focused on recruitment and consultant care, providing opportunities across various industries such as automotive, engineering, IT, finance, and banking. Founded in 2002, Infotree Global Solutions operates globally, with more than 5,000 coworkers and 400 recruiters in 150 countries. The company is committed to delivering quality placements that lead to lifelong careers, supported by a dedicated team of recruiters and consultant care representatives.

📋 Description

• Architect and optimize data transformation workflows using Microsoft Fabric, Delta Lake, and Apache Spark • Design and implement scalable data pipelines and integrations with Azure services (Data Lake, Synapse, Data Factory) • Advise on data modeling, performance optimization, and best practices • Ensure data security and compliance across data processing workflows • Provide technical expertise on Azure data services and Azure SDKs/APIs • Collaborate with full-stack developers on a new data platform project for a global professional services client

🎯 Requirements

• Experience with Microsoft Fabric • Experience with Delta Lake • Experience with Apache Spark • Familiarity with Azure services: Data Lake, Synapse, Data Factory, Purview • Proficiency in Python, Scala, SparkSQL, PySpark • Experience with Azure SDKs/APIs • Experience designing and optimizing data transformation workflows and data pipelines • Knowledge of data modeling, performance tuning, data security and compliance best practices • Excellent English communication skills • Ability to collaborate with full-stack development teams

🏖️ Benefits

• Fully Remote • Supportive team and career growth opportunities • Dedicated recruiters and consultant care representatives committed to employee success and well-being • Opportunity to work with a well-known global professional services firm • Collaboration with cross-functional teams