Data Engineer

Network Recruitment; Pretoria; Hybrid; ZAR 500,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Innovative environment

Collaborative team

Job summary

Network Recruitment seeks a Data Engineer to design, build and optimize scalable data solutions for large-scale financial data. You will model data and work with distributed systems in a fast-paced technical team in Pretoria.

You will collaborate across functions, sharpen data lake and Databricks workflows, and apply ETL/ELT methods using PySpark and Python in a hybrid work setup with one day in the office.

Qualifications

• 4+ years in Data Engineering or a similar role.
• Proficient in Python, Pandas, Numpy, PySpark.
• Experience with data lakes and Databricks.
• Proficient in T-SQL, ETL/ELT, data warehousing.
• Agile/Sprints experience.
• Experience with AWS or Azure.

Skills

Data engineering

Python

Pandas

Numpy

PySpark

ETL/ELT

Agile

AWS

Azure

Tools

Databricks

Datalakes

Job description

Ready to turn data into magic? If you’re a Data Engineer who knows your way around big data and loves to tackle complex financial problems, we’ve got a seat with your name on it!

What We’re Looking For:

As a Data Engineer, you’ll bring your extensive knowledge in building strong data solutions. You will also get solid experience on data modelling, and distributed system architecture to help build scalable, high-performance solutions. You’ll have the chance to work with a high-functioning fast-paced technical team while shaping the future of data engineering.

Key Skills & Experience:

• 4+ years of experience in Data Engineering or a similar role
• Experience working Python, Pandas, Numpy and PySpark
• Strong exposure to Datalakes and Databricks
• T- SQL, ETL / ELT, Data warehousing
• Agile methodology focusing on Sprints
• Experience working with AWS or Azure

Why Join Us?

• Hybrid Working Model: Enjoy the flexibility of working from home with occasional office collaboration (1 day in the office)
• Innovative Environment: Work with cutting-edge tools and technologies, constantly evolving with the data landscape.
• Collaborative Team: Be part of a fast-paced, dynamic and talented team that’s passionate about data engineering and pushing the boundaries of technology.

If you're a Data Engineering professional looking to leave your mark on large-scale data infrastructures, we want to hear from you!