Cloud Data Engineer (1258)
Founded in 1999 in Vienna, the Qualysoft Group is a manufacturer-independent IT consulting and services company, which successfully provides support for its international customers with the aim of boosting their competitiveness and economic efficiency through innovative IT solutions. Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 500 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients. We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below!
Cloud Data Engineer
As a Senior Data Engineer, you will design, build, and manage data pipelines to support data-driven decision-making and machine learning across various products and services. You will play a key role in shaping the future of banking by collaborating with stakeholders to understand data requirements, model data flows, transform raw data, ensure data quality, and adhere to data governance standards. Your expertise in software engineering, cloud data engineering, data platforms, and data visualization will help deliver scalable and reliable data solutions.
Your tasks would be:
- Collaborate across squads to define data requirements, roadmaps, use cases, and metrics for data products or features.
- Design and document data models, 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.
Requirements:
- 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.
- In-depth experience in programming languages, such as Python, Java, Scala, or C#
- Experience with Microsoft Azure data platform
- Experience with data tools and frameworks, such as Databricks, Spark, Kafka
- Experience with SQL data query language
- Experience with Azure Data Lake, Azure Data Factory
- Experience with data governance and compliance standards, such as GDPR
Location:
Hybrid
If you are interested in this opportunity, contact me…
Csilla Szabó
+36 20 399 8893
Ref.:
1258