Data Engineer

Ubique Systems; Kraków; On-site; PLN 120,000 - 180,000; Full time

Job summary

Ubique Systems is seeking a Data Engineer with strong experience in large-scale data environments. You will leverage Python, PySpark and Spark to build scalable data pipelines on Azure Databricks, applying Big Data best practices to enable fast data discovery.

The role requires deep SQL knowledge, familiarity with graph databases and information retrieval, and the ability to translate business needs into efficient search components while collaborating with a global team.

Qualifications

• 5+ years of experience as a Data Engineer in large-scale or Big Data environments.
• Strong SQL and database systems knowledge, including query optimization and schema design.
• Hands-on experience with search platforms or information retrieval technologies.
• Knowledge of Graph Databases and their application to knowledge graphs or entity-search.
• Proficiency in Python, Scala, Spark; experience with Azure Cloud, Databricks, and PowerBI.
• Experience designing or maintaining search APIs, indexing pipelines, or metadata-driven components.
• Familiarity with Agile methodologies and delivering incrementally within teams.
• Strong communication and stakeholder management; ability to translate search needs into solutions.
• Proactive team player with analytical and problem-solving abilities; fluent English.

Skills

Python

PySpark

Azure Databricks

SQL

ADF

Spark

Tools

Neo4j

Cosmos DB Gremlin API

PowerBI

Job description

Mandatory skills: Python, PySpark, Azure Databricks. Good to have SQL, ADF.

Job Description:

• ideally 5+ years of experience as a Data Engineer, including exposure to large‑scale or Big Data environments
• strong experience with SQL and database systems (relational and NoSQL), including query optimization and schema design
• hands‑on experience with search platforms or information retrieval technologies (indexing, ranking, text search, semantic search, metadata modeling, vector search, relevance tuning, etc.)
• knowledge of Graph Databases (e.g., Neo4j, Cosmos DB Gremlin API) and their application to knowledge graphs or entity‑relationship search
• strong programming skills in Python, Scala, Spark, and experience with Big Data tools such as Azure Cloud, Databricks, and PowerBI (or equivalents)
• experience designing or maintaining search APIs, indexing pipelines, or metadata‑driven search components
• good understanding of Agile methodologies and experience delivering incrementally within an Agile team
• strong communication and stakeholder‑management skills, with the ability to translate search‑related needs into technical solutions
• solid analytical, problem‑solving, and data‑management abilities
• proactive team player with flexibility, resilience, and the initiative to drive improvements across search and data‑discovery workflows
• strong interest in understanding business context to create meaningful and effective data search experiences
• fluent in English with excellent written and verbal communication skills, and the ability to work as part of a global team