Junior Data Pipeline Engineer (SQL/Python)

Ilabs; Munster; On-site; EUR 2,700 - 4,800; Full time

Job summary

iLabs is seeking a data engineer to join our on-site team in Battaramulla. You will build, test, and maintain data pipelines, write Python scripts, and support data quality checks, APIs, and data services.

Collaborate with engineers and data scientists to ensure reliable data flows across fintech, edtech, medtech, and other domains. A strong foundation in SQL, Python, and data warehousing is essential.

Qualifications

• BS in Computer Science, Engineering, or related field.
• 1–2 years of data engineering/backend experience.
• Good Python programming skills.
• Strong SQL fundamentals.
• Understanding of data warehousing, ETL/ELT, NoSQL concepts.
• Familiarity with a Python web framework (FastAPI/Django/Flask).
• Basic Linux command-line skills.

Responsibilities

• Assist in building, testing, and maintaining data pipelines.
• Write SQL and Python scripts for data extraction, transformation, and validation.
• Help monitor data workflows and troubleshoot issues.
• Support data quality checks and routine platform maintenance.
• Contribute to APIs and data services.
• Document pipelines, datasets, and processes clearly.
• Collaborate with engineers and data scientists on day-to-day data needs.

Skills

Python programming

SQL fundamentals

Data engineering

Backend development

Linux CLI

NoSQL concepts

ETL/ELT concepts

Web frameworks (FastAPI/Django/Flask)

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Airflow

Kafka

Spark

Delta Lake

AWS

GCP

Azure

Databricks

Docker

Git

Job description

iLabs is seeking a data engineer to join our on-site team in Battaramulla. You will build, test, and maintain data pipelines, write Python scripts, and support data quality checks, APIs, and data services.

Collaborate with engineers and data scientists to ensure reliable data flows across fintech, edtech, medtech, and other domains. A strong foundation in SQL, Python, and data warehousing is essential.