Job Description

Join Visionary Tech Services (VTS), a fast-paced AI consultancy in Abu Dhabi, as a

Junior Data Engineer

. In this role, you'll design and build scalable data pipelines and infrastructure to power real-world AI, GenAI, data science, and analytics solutions across various industries. You'll be a key part of the AI & Data Practice, enabling clean, timely, and governed access to data for machine learning, decision intelligence, and business analytics.

Background:

The ideal candidate is experienced in developing scalable, end-to-end data pipelines across both batch and streaming workloads. You should be strong in API integrations, data engineering standards (e.g., lineage, governance, quality), and capable of working in Agile/Scrum environments. Hands-on expertise in modern lakehouse architectures, Spark, Kafka, Airflow, and the Azure ecosystem is essential. You will work closely with cross-functional teams including AI/ML engineers, analysts, and product teams.

Requirements

Clean and join datasets. Build initial dashboards and explore datasets. Document data issues and assist with basic transformations.

Education:

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field.

Technical Skills / Tech Stack:

Languages & Frameworks:

Python, Java, Scala, SQL

Data Platforms & Tools:

Apache Airflow, Apache Spark, Azure Data Factory, Databricks, Snowflake, Delta Lake, Hadoop

Streaming & Messaging:

Kafka

Databases:

MongoDB, Elasticsearch

DevOps & Infrastructure:

Docker, CI/CD, Git

Governance & Quality:

Lineage tracking, data quality frameworks

Cloud:

Azure ecosystem familiarity

Soft Skills:

Collaboration Communication Ownership Problem Solving Curiosity

Benefits

Opportunity to work on

cutting-edge AI and GenAI projects

. Exposure to

cross-industry

data challenges and impactful solutions. Clear

career progression paths

across Associate to Principal levels. Hands-on experience with

modern data and cloud technologies

. Work within a

collaborative and agile environment

with interdisciplinary teams. * Opportunity to

influence enterprise-level data strategy

in a growing tech consultancy.