Job description
At ProArch, we partner with businesses around the world to turn big ideas into better outcomes through IT services that span cybersecurity, cloud, data, AI, and app development.
We’re 400+ team members strong across 3 countries (we call ourselves ProArchians)—and here’s what connects us all: A love for solving real business problems A belief in doing what’s right What’s it like to work here?
You’ll keep growing.
You’ll work alongside domain experts who love to share what they know.
You’ll be supported, heard, and trusted to make an impact.
You’ll take on projects that touch industries, communities, and lives.
You’ll have the time to focus on what matters most in your life outside of work.
At ProArch, you’ll be part of teams that design and deliver technology solutions solving real business challenges for our clients.
With services spanning AI, Data, Application Development, Cybersecurity, Cloud & Infrastructure, and Industry Solutions, your work may involve building intelligent applications, securing business‑critical systems, or supporting cloud migrations and infrastructure modernization.
Every role here contributes to shaping outcomes for global clients and driving meaningful impact.
You’ll collaborate with experts across data, AI, engineering, cloud, cybersecurity, and infrastructure—solving complex problems with creativity, precision, and purpose.
You’ll join a culture rooted in technology, curiosity, and continuous learning.
A place where we move fast, trust you to make an impact, encourage innovation, and support your growth.
Job Summary: ProArch is seeking a Trainee Data Engineer to join our growing Data & Analytics team.
This entry-level position is ideal for fresh graduates or students in their final year who are eager to start their career in data engineering.
You will gain hands-on experience in working with databases, cloud concepts, and data tools while being mentored by senior engineers to build the foundation for a successful career in data engineering.
Responsibilities Assist in building, testing, and maintaining data pipelines under the guidance of senior data engineers.
Work with structured and unstructured data formats such as CSV, JSON, and XML.
Learn and apply basic concepts of databases (SQL/NoSQL) for data querying and management.
Support in data transformation and integration tasks using Python or other scripting languages.
Gain exposure to Azure fundamentals and basic cloud storage concepts.
Collaborate with team members on academic-style projects, POCs, and small-scale data solutions.
Document learnings, processes, and workflows to support knowledge sharing.
Continuously develop technical and problem-solving skills through mentorship and hands-on practice.
Bachelor’s degree in computer science, IT, Mathematics, or Engineering (completed or ongoing in final year).
Strong logical thinking, analytical mindset, and eagerness to learn data concepts.
Basic understanding of databases (SQL/NoSQL) and Python or another scripting language.
Strong understanding of Azure Synapse Analytics.
Awareness of Azure fundamentals or cloud concepts.
Familiarity with Excel, Power BI, or Tableau for data visualization.
Knowledge of version control tools such as Git.
Good to Have Skills Exposure to ETL tools or Azure Data Factory.
Awareness of cloud storage solutions like Azure Blob Storage or Data Lake.
Participation in data-related academic or personal projects demonstrating interest in data engineering.
This job post has been translated by AI and may contain minor differences or errors.
