L1 Data Engineer

DeepSource Technologies

DeepSource Technologies is seeking a motivated L1 Data Engineer to design and maintain data architecture in a remote role.

Last checked on September 10, 2026. We may earn a commission when you click through.

✓ Flexible remote work arrangement ✓ Engaging work in data architecture ✓ Part of a growing analytics team

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L1 Data Engineer

DeepSource Technologies

Updated 18 days ago

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Egypt Remote

This position could be a tech-savvy individuals looking for remote opportunities in data engineering. However, the absence of salary details may deter some applicants who prioritize transparent compensation.

About this role

DeepSource Technologies is seeking a motivated L1 Data Engineer to design and maintain data architecture in a remote role.

About the Company

DeepSource Technologies is an innovative company focusing on data and analytics solutions, aiming to enhance organizational data strategies.

Key Highlights

✓ Fully remote position
✓ Opportunity to work in a growing team
✓ Focus on data architecture and infrastructure
✓ Contribution to organizational data strategy

💡 Honest Take: While the remote setup is appealing, potential candidates should be aware that the lack of disclosed salary might indicate limited transparency in compensation expectations. working in a growing team can lead to fluctuating demands.

Pros

✓ Flexible remote work arrangement
✓ Engaging work in data architecture
✓ Part of a growing analytics team

Cons

✗ Salary not disclosed
✗ Potentially high workloads in a developing team
✗ Limited company details available

Best For: Ideal for data engineers in Egypt seeking flexible work arrangements and a chance to influence data strategies.

Watch Out: Be cautious of the lack of salary transparency, which may affect long-term job satisfaction.

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Expert Review

At DeepSource Technologies, the L1 Data Engineer role offers a chance to impact the company's data architecture significantly. This position is entirely remote, catering to professionals seeking flexibility. However, the absence of salary details can be a red flag, potentially indicating less favorable compensation packages.

Our team noted that working in a growing analytics team can lead to varying workloads and expectations, which may not suit everyone. It's crucial for applicants to consider their work-life balance when applying. For those eager to dive into data engineering, this role can be a fantastic opportunity, but ensure to clarify compensation expectations during the application process.

More details can be found on their official page.