Data Engineer (ZSP-) at Abesse Zrt.

Information

Start: ASAP
Period: long-term
FTE: 1
Business Area: Digital Transformation
Project aim: to transform our IT infrastructure, enable seamless data-driven decision-making, and foster agility in responding to evolving customer needs.
Role focus: you will design, build, and manage data pipelines that support data-driven decision making and machine learning across various products and services. You will collaborate with stakeholders to understand data requirements, model data flows, transform raw data, ensure data quality, and comply with data governance standards.

Task

Collaborate across squads to define data requirements, roadmaps, use cases, and metrics for data products or features.
Design and document data models, data pipelines, schemas, and flows that meet business and analytical needs.
Extract, transform, and load data from various sources using query languages, tools, and APIs.
Ensure data quality, completeness, and reliability across data pipelines.
Develop and implement data tools, tests, and monitors to optimize data performance and troubleshoot issues.
Comply with data governance policies and standards for data security, privacy, and classification.
Contribute to the data glossary and data catalog to document data sources, definitions, and lineage.

Requriement

Bachelor's or Master's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field.
Experience in data engineering, data science, software development, or data modeling.
Knowledge of programming languages, such as Python, Java, Scala, or C#
Knowledge of Microsoft Azure data platform
Experience with data tools and frameworks, such as Databricks, Spark, Kafka
Knowledge of SQL data query language
Experience with Azure Data Lake, Azure Data Factory
Experience with data governance and compliance standards, such as GDPR
min. intermediate of English

Plus

Application Form