Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline., 5+ years of experience as a Data Engineer in a cloud-native environment., Strong expertise in Azure Data Factory, Azure Synapse, SQL Server, and Azure Data Lake., Fluency in English and excellent analytical, problem-solving, and communication skills..

Key responsabilities:

Design, build, and optimize end-to-end data pipelines using Azure Data Factory and other ETL tools.

Develop and maintain complex SQL scripts, stored procedures, and views for data ingestion and transformation.

Collaborate with stakeholders to understand data needs and translate them into technical solutions.

Ensure high performance, availability, scalability, and security of data environments.

Job description

About the Company

Our client is one of the worlds leading independent commodity trading companies, operating worldwide. Known for innovation and integrity, the company is a market leader in the trade, transport, storage, and optimization of energy products. This is an opportunity to work in a global, dynamic environment at the heart of the energy sector.

Role Overview

We are looking for a Senior Data Engineer to join our team in Romania and Spain remotely, playing a key role in designing, building, and maintaining scalable data pipelines and cloud data infrastructure to support enterprise analytics, business intelligence, and operational efficiency across the group.

You will work closely with BI Architects, Data Analysts, and business stakeholders to drive the development of modern data platforms, with a strong focus on Microsoft Azure technologies.

Key Responsibilities

Design, build, and optimize end-to-end data pipelines using Azure Data Factory and other ETL tools.
Develop and maintain complex SQL scripts, stored procedures, and views for data ingestion, transformation, and modeling.
Integrate data from multiple sources into Azure Data Lake, Azure Synapse Analytics, and Data Warehouses.
Support and enhance Master Data Management (MDM) initiatives, including modeling and implementing data quality rules (Profisee experience is a plus).
Collaborate with product, engineering, and business stakeholders to understand data needs and translate them into robust technical solutions.
Ensure high performance, availability, scalability, and security of data environments.
Provide support for data-related issues and troubleshoot pipeline failures or data inconsistencies.
Contribute to best practices for data governance, documentation, and DevOps automation in the data space.

Core Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline.
5+ years of experience as a Data Engineer, ideally in a cloud-native environment.
Prior experience in a trading, commodity, energy, or financial services environment.
Strong expertise in Azure Data Factory, Azure Synapse, SQL Server, and Azure Data Lake.
Solid experience with SQL and ETL/ELT development.
Proven experience with data modeling (fact/dimension tables), data warehouse design, and BI support.
Comfortable working with big data sets and optimizing data delivery and pipeline performance.
Fluency in English (written and spoken) is mandatory.
Excellent analytical, problem-solving, and communication skills.

Desirable Skills:

Experience with Profisee or other MDM platforms.
Hands-on experience with Power BI or similar BI tools.
Knowledge of data governance, data quality, and metadata management.
Azure certification (e.g., Azure Data Engineer Associate) is a plus.
Experience in commodity trading or energy industries is a strong advantage.

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