Senior Data Engineer (ZR1028)

Budapest - Hungary

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

DSS Consulting Zrt. has been specializing in the implementation of business intelligence systems analytical solutions and custom application development since its founding in 1998. We are proud that our company has played a pioneering role in Hungary in the field of business analytics solutions and modern data platforms.

We are looking for a Data Engineer to join a project at one of our large corporate banking clients where business needs and cutting-edge technology truly meet. If you enjoy understanding complex systems end-to-end feel confident in a data-driven environment and like building stable scalable data pipelines on the Microsoft Azure platform then this is the right opportunity for you!

Responsibilities

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.

Requirement qualifications

Bachelors or Masters 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

Additional/Prefered qualifications

Experience with data visualization tools such as Power BI
Relevant Microsoft Cloud certifications are a plus
Strong communication collaboration and problem-solving skills.
Fluent in Hungarian and intermediate or above level of English is a must

If you find this opportunity appealing we look forward to your application at or simply click the Apply now button.

Responsibilities

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.

Requirement qualifications

Bachelors or Masters 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