Senior Data Engineer

130 - 165 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·KrakówFull-time·B2B

#477316·Dodano 5 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

DegreeData engineeringDatabricks Python Apache SparkDelta Live TableBig DataData warehousesData LakeCloudSQL PostgreSQL Azure SQL PL/SQL CI/CD GitLab SDLCPrototypingClean CodeCloud platformAzure Linux Unix

Podsumowanie oferty

This Senior Data Engineer role focuses on architecting enterprise Big Data solutions and engineering high-throughput data pipelines. The platform stack includes Databricks, Python, Apache Spark, Delta Lake and Delta Live Tables.

Wymagania

Background & Leadership:

Advanced degree (Master’s or equivalent) in Computer Science, Engineering, or a related technical discipline.
10+ years of progressive software/data engineering experience, demonstrating strong technical leadership and collaborative team-first mindset.

Core Data Engineering & Platform Stack:

5+ years of deep, hands-on expertise within the Databricks ecosystem, leveraging Python, Apache Spark, Delta Lake, and Delta Live Tables (DLT).
Proven track record architecting enterprise Big Data solutions across Data Warehouses, Data Lakes, and Lakehouse architectures.
Extensive experience engineering high-throughput, fault-tolerant pipelines handling massive datasets across both batch and real-time streaming workflows.

System Design & Non-Functional Requirements (NFRs):

Strong architectural background with an emphasis on low-latency processing, high data availability, and horizontal scalability.
Solid database engineering skills across relational and cloud engines (SQL, PostgreSQL, Azure SQL, PL/SQL).

Cloud, Automation & DevOps:

Deep familiarity with cloud platforms (preferably Azure) combined with strong Linux/Unix environments and shell scripting.
Production experience establishing robust CI/CD workflows and automated test suites using GitLab and industry-standard tools.

Engineering Practices & Innovation:

Practical adoption of AI-assisted engineering tools throughout the modern SDLC to accelerate delivery.
Rapid prototyping mindset—ability to quickly validate PoCs and systematically harden them into production-grade systems following clean code principles.

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