Data Engineer @ Antal
(práce v Polsku)

Data Engineer @ Antal

Polsko

• 5+ years of IT experience, with 2+ years in software development using Big Data technologies, microservices, and event-driven cloud architectures.
• Hands-on experience with Apache NiFi, Kafka, Spark, Hive, HDFS, Oozie, SQL, Python, and Linux Shell scripting.
• Strong database skills: at least one SQL database (Oracle, PostgreSQL, MySQL, etc.) and one NoSQL database (MongoDB, HBase).
• Cloud experience with AWS, GCP, or Azure (GCP preferred).
• Solid understanding of Hadoop ecosystems, data warehousing, and real-time data pipelines.
• Familiarity with BigQuery, DataProc, Java SpringBoot is a plus.
• Professional proficiency in English.
• Positive, proactive attitude with strong problem-solving skills.

Data Engineer – Data & Analytics

Location: Kraków, Poland (hybrid, 2x per week in the office)
Contract: Full-time

About the Role

A leading financial institution is building a world-class, data-driven organization and is seeking a Data Engineer to join their Wholesale Data & Analytics team. You will help design, build, and maintain scalable, secure, and high-performance data solutions, contributing to a revolutionary analytics ecosystem that generates actionable insights from diverse data sources.

What We Offer

• Work in a global, innovative team shaping the largest aggregation of wholesale data within the organization.
• Hands-on experience with cutting-edge Big Data technologies and real-time analytics.
• Hybrid work with 2 days per week in the Kraków office.
• Collaborative culture focused on learning, development, and high-impact projects.

,[Develop, build, and test complex data products and pipelines using Big Data technologies., Analyze, profile, and synthesize data from multiple sources to provide actionable insights., Design and implement resilient, scalable data integration solutions., Model data using industry-recognized patterns, including Star Schema, Slowly Changing Dimensions, and CDC., Automate data flows and real-time pipelines with Apache NiFi and Apache Kafka., Apply best practices in Python, SQL, and related programming languages (DRY, KISS, SOLID, Clean Code)., Manage metadata and support data governance across the team., Collaborate with business stakeholders and cross-functional teams to ensure data solutions meet requirements., Maintain operational risk and compliance controls according to regulatory standards.] Requirements: Apache NiFi, Kafka, Spark, Hive, Oozie, SQL, HDFS, Python, Linux, Shell, NoSQL, AWS, Azure, Hadoop, GCP, BigQuery, DataProc, Java SpringBoot

Kategorie

data

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