Lead Data Engineer
Dariel
This role focuses on building big data solutions using PySpark and Hadoop, implementing ETL processes, and creating data architectures for analytics.
Last checked on September 15, 2026. We may earn a commission when you click through.
This position is ideal for experienced data engineers looking to make an impact in a . However, the absence of salary details raises concerns for candidates prioritizing financial transparency.
About this role
This role focuses on building big data solutions using PySpark and Hadoop, implementing ETL processes, and creating data architectures for analytics.
About the Company
Dariel is a technology solutions provider that specializes in data engineering and analytics.
Key Highlights
- ✓ Work with cutting-edge PySpark and Hadoop technologies.
- ✓ Implement robust ETL processes.
- ✓ Translate business needs into data architectures.
- ✓ Focus on analytics and BI readiness.
💡 Honest Take: While the position offers an to work with big data technologies, the lack of disclosed salary could deter some candidates. It's essential to clarify compensation expectations early in the process.
Pros
- ✓ Opportunity to work with advanced technologies.
- ✓ Engage in meaningful data architecture projects.
- ✓ Part of a reputable tech solutions company.
Cons
- ✗ Salary not disclosed.
- ✗ No remote work options available.
- ✗ Requires significant experience in data engineering.
Best For: Data professionals in Gauteng looking for leadership roles in analytics and ETL processes.
Watch Out: The role is not remote, which may limit flexibility for some candidates.
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What Customers Say
Employees generally appreciate the technological focus and collaborative environment, though some express concerns about transparency in pay.
Expert Review
This position at Dariel offers a prime opportunity for those skilled in big data technologies, specifically using PySpark and Hadoop. The focus on ETL processes ensures that engineers can work on impactful data projects. Yet, salary information is not disclosed, which may raise red flags for those concerned about compensation clarity.
Candidates should also be aware that the role is not remote, potentially limiting work-life balance. It’s how this aligns with your personal circumstances before applying. the emphasis on translating business needs into data architecture requires not just technical skills but also strong collaboration abilities.
For those looking for a leadership position in data engineering, this could be a solid fit, especially if you thrive in a structured office environment. However, if flexibility or transparent compensation is a priority, you may want to consider other opportunities. out Dariel’s page for more insights into company culture and potential growth within the role.
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