Data EngineerSee all recent Jobs

Our client, a global leader in the manufacturing and aerospace industry, is seeking a skilled Data Engineer to join their Data Analytics & AI team. This role is central to a major data transformation initiative, enabling the company to unlock greater efficiency, insights, and innovation.

You will design and maintain ETL pipelines and build a data mart to streamline and automate data integration. Working closely with business stakeholders, you will help shape the company’s data-driven future by delivering impactful cloud solutions that support critical operations in a fast-evolving sector.

Key Responsibilities

• Design, develop, and maintain ETL pipelines to integrate data between on-premises and cloud environments.
• Partner with business stakeholders to capture requirements and translate them into scalable technical solutions.
• Ensure data quality, accuracy, and consistency through validation and reconciliation processes.
• Lead data migration initiatives, moving data from legacy on-premises systems to modern cloud platforms.
• Document ETL processes, data flows, and architectures to ensure transparency, scalability, and reproducibility.

Experience & Qualifications

• Degree in Computer Science, Engineering, or a related STEM discipline.
• 3–4+ years of professional experience in Data Engineering.
• Solid track record in ETL development and data integration (on-premises and cloud).
• Hands-on experience with SAP data extraction.
• Proficiency in SQL for data extraction, transformation, and loading.
• Knowledge of data warehousing concepts and practices.
• Strong hands-on experience with Azure cloud services.
• Familiarity with Python for cloud-based ETL processes.
• Excellent written and spoken English communication skills.
• Proactive, detail-oriented, and able to work independently in a fast-paced environment.
• Strong problem-solving mindset and ability to communicate technical concepts clearly.

Preferred Skills (Nice to Have)

• Experience with Fabric, Airflow, or other cloud orchestration tools.
• Knowledge of distributed data technologies (e.g., Spark, Databricks, Synapse).
• Experience with financial or manufacturing datasets.
• Exposure to cross-functional work with Data Science or Machine Learning engineering teams.

What we offer:

• Hybrid working model
• Private health insurance
• Unlimited access to a wellness workplace support platform
• Continuous learning, professional growth, and career development
• Opportunity to work with cutting-edge technologies
• A dynamic and collaborative work environment

Who We Are:

UpcoMinds is a dynamic IT company with 28 years of experience that provides end-to-end web and mobile solutions helping businesses to reinvent themselves in the digital world. Our team’s skills and expertise will ensure the holistic digital transformation of any organization, which will considerably improve both business operations and customer’s experience.

Our goal is to always have our end products and services reflect our deep engineering skills and elegant progressive design aesthetic. We fundamentally believe deeply in developing long term strategic partnerships with our clients by exceeding expectations and maintaining a high level of transparency.

Find out more about us at www.upcominds.com

We commit to promote Inclusion & Diversity by creating a working environment where all employees are treated with dignity and respect and where individual differences are valued. We offer equal opportunity in all aspects of employment.

Our recruitment consultants will go through your Curriculum Vitae as soon as possible and get back to you to discuss the opportunity for which you apply. If you don’t hear from us in the coming ten (10) working days, you may consider that you have not been selected for the particular job.