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Data Engineer (Oil&Gas)

About Qualysoft

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Qualysoft Bucharest Source published Sep 20, 2026 Verified 8 hours ago
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EmploymentFull-time

Overview

About Qualysoft

Full job description

About Qualysoft

· 25 years of experience in software engineering, established in Vienna, Austria · Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B) · Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development
· We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms · Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech · Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia · International team of 500+ software engineers · Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner · Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation. · Project beneficiaries ranging from large-scale enterprises to startups · Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions · Quality-first mindset, culture of innovation, and long-term client partnerships · Global and local reach – trusted by key industry players in Europe and the US

Development of a platform for gas sales management and compliance management with the associated international standard;

As part of the in-life management of existing data pipelines, you are responsible for maintaining all deliverables up to date, including the E2E “as-built” views of all data products in your scope;

You and your team take an active part in the operational support process by providing assistance in case of incidents requiring a code-based fix or workaround;

Create data pipelines;

Transformations and ETL activities in Synapse;

Data ingestion from various structured (SQL) and unstructured sources (XLS, CSV, Sharepoint files);

ETL process orchestrations with Synapse and Azure Data Factory.

Azure cloud services, including but not limited to Azure Synapse Analytics;

Azure Data Factory, Azure Stream Analytics (real-time streaming & analytics);

Azure Databricks with PySpark, Azure Blob Storage & Data Lake Storage, Azure Event Hubs, Azure Analysi;

Services for data models, Azure Application Insights;

Advanced knowledge in using Databricks;

Azure Datalake.

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