We are looking for experienced Data Engineers to build and optimise scalable data pipelines and data models using modern data engineering practices. The role involves working with large datasets, cloud platforms, and enterprise data solutions to deliver impactful business outcomes.
Key Skills
Strong hands-on experience with
PySpark
and
DataFrames
Advanced proficiency in
SQL
Good experience working on
Google Cloud Platform (GCP)
ispreferred
Strong background in large-scale data engineering and data modelling
Experience & Qualifications
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer with the ability to clearly articulate use cases and business impact
Proven expertise in
PySpark, SQL, and GCP
(skills will be evaluated live during interviews)
Experience designing and delivering enterprise-scale data platforms
Hands-on experience processing and analyzing large datasets
Strong exposure to data engineering and business intelligence solutions
What We Offer
NucleusTeq Culture:
A positive, inclusive, and supportive environment that values flexibility, individuality, and well-being
Competitive salary and benefits
Hybrid work model
Opportunity to work with cutting-edge technologies
Collaborative team environment
* Strong focus on professional growth and career development
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