Senior Data Engineer PySpark ML Pipeline Dubai

By: Ganesh Thik

On: May 15, 2026

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Senior Data Engineer (PySpark + ML Pipeline) at ValueLabs

ValueLabs  ·  Dubai  ·  Posted today

Company
ValueLabs
Location
Dubai
Experience
8-10 years
Education
Bachelor’s degree in Computer Science, Engineering, or related field

About this role

ValueLabs is seeking an experienced Senior Data Engineer to design and build high-performance, scalable data pipelines and machine learning solutions. You will collaborate with Data Scientists and Analytics teams in an Agile environment, handling exploratory data analysis, data ingestion, transformation using big-data technologies, and feature engineering. This role focuses on optimizing data workflows and delivering robust ML pipeline architectures.

Skills required

PySparkPythonHadoopSQLMachine Learning Pipelines

Key responsibilities

Design and develop scalable data pipelines using PySpark and Hadoop for processing large datasets

Perform exploratory data analysis and implement data transformation logic with optimization techniques

Build and maintain machine learning pipeline architectures in collaboration with data science teams

Conduct feature engineering and data quality assurance to ensure pipeline reliability

Work in Agile sprints, participate in code reviews, and maintain version control using Git

About ValueLabs

ValueLabs is a leading IT services and consulting company specializing in data engineering, analytics, and machine learning solutions. The company fosters an innovative, collaborative work culture where technical excellence meets business impact. They work with global clients to transform data into actionable insights.

Why you should apply

Work with cutting-edge big-data technologies and machine learning pipelines at scale

Collaborate with experienced Data Scientists and Analytics teams in an innovative Agile environment

Opportunity to join a reputable IT services company with global reach and diverse project portfolio

Interview preparation tips

1

Prepare detailed examples of PySpark optimization techniques you’ve implemented in production environments

2

Be ready to discuss your experience with end-to-end ML pipeline development and challenges faced

3

Demonstrate knowledge of Hadoop ecosystem components and distributed computing concepts

4

Showcase your SQL proficiency with complex queries and explain your approach to data transformation problems

Career growth path

This senior-level position offers significant growth opportunities to lead data engineering initiatives and mentor junior engineers. You can advance into architect roles, technical leadership positions, or specialize in emerging technologies like real-time streaming and advanced ML frameworks. ValueLabs provides exposure to cutting-edge projects and global client engagements.

Ready to apply?

Keep your updated resume, transcripts, and cover letter ready before you start the application.

Apply via Email: jobs.asia1@valuelabs.com

Check the official careers page for deadline and instructions

Frequently asked questions

Q: What experience level is required for this Senior Data Engineer role?
A: Candidates must have 8-10 years of professional experience in data engineering and machine learning pipelines with strong expertise in Python, PySpark, Hadoop, and SQL.
Q: What are the key responsibilities of this position?
A: The role involves designing scalable data pipelines, performing exploratory data analysis, implementing data transformations, building ML pipeline architectures, and conducting feature engineering in an Agile environment.
Q: What is the work location and joining timeline?
A: This position is based in Dubai with an immediate to 30 days joining requirement. The role operates in an Agile work environment with collaboration across distributed teams.
Q: How do I apply for this Senior Data Engineer position?
A: Interested candidates can apply by sending their resume and portfolio to jobs.asia1@valuelabs.com with the subject line mentioning the role title and location.
Q: What technical skills are most critical for success in this role?
A: Proficiency in PySpark optimization, Python programming, Hadoop ecosystem, advanced SQL, Git version control, and understanding of machine learning pipeline architecture are essential for this position.

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Disclaimer: Job details are sourced from public postings. Please verify all information on the official company website before applying.

Ganesh Thik

Ganesh Thik is a Software Engineer with 10 years of IT experience, dedicated to helping job seekers. He shares referral job openings, tech news, and career tips. Stay updated with the latest opportunities and industry insights!

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