Junior Data Engineer (Python / R) – Start Your Data Career

Job Description

A growing technology-driven organization is seeking a motivated Junior Data Engineer with strong programming and machine learning experience to join its dynamic team. This role is ideal for professionals who are passionate about building scalable data solutions, working with modern cloud platforms, and contributing to AI/ML-driven initiatives.

The ideal candidate will have hands-on experience with Python or R, data engineering tools, and big data ecosystems, along with the ability to collaborate with cross-functional teams to design, deploy, and maintain high-performance data services. You will play a key role in developing reliable data pipelines and supporting machine learning solutions from prototype through production.

Key Responsibilities

Design, develop, test, and deploy data engineering solutions and machine learning pipelines

Collaborate closely with customers and stakeholders to deliver results and communicate risks effectively

Work with multi-disciplinary teams to implement scalable AI/ML solutions across cloud and on-premise environments

Develop and maintain data processing workflows using big data technologies and modern engineering practices

Ensure network reliability, stability, and performance while implementing new services or changes

Support rapid development cycles by designing efficient testing and deployment strategies

Contribute to system architecture decisions and continuous improvement initiatives

Present technical findings, progress updates, and recommendations to stakeholders

Required Qualifications

2–5+ years of hands-on experience with Python and/or R programming

Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar

Strong knowledge of SQL and NoSQL databases

Experience with cloud platforms (preferably Azure) and/or on-premise environments

Familiarity with big data technologies such as Hadoop, Spark, Kafka, Flink, Splunk, or Stream Analytics

Experience with containerization and orchestration tools such as Docker and Kubernetes

Knowledge of JavaScript or other programming languages is a plus

Strong problem-solving, communication, and teamwork skills

Preferred Qualifications (Bonus Skills)

Experience in telecommunications domain

Background in statistical modeling, data mining, and advanced analytics techniques

Hands-on experience deploying machine learning models into production environments at scale

Knowledge of supervised and unsupervised learning algorithms such as regression, SVM, neural networks, and random forests

Experience with data visualization tools such as Power BI or D3.js

Leadership potential with the ability to guide or mentor team members

Role Benefits

This opportunity offers the chance to work on cutting-edge AI/ML and data engineering projects in a collaborative environment with strong growth potential. Candidates will gain exposure to modern cloud technologies, enterprise-scale data systems, and innovative machine learning applications.