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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer. In this role, you will play a pivotal part in designing and implementing robust data pipelines and analytics platforms within a dynamic telecom environment. Your expertise will ensure the reliability and efficiency of data models and business intelligence solutions that drive insights across various aspects such as network performance and customer experience. You will collaborate closely with cross-functional teams to translate complex telecom needs into actionable analytics solutions, while also mentoring junior engineers and advocating for best practices in data engineering.
Accountabilities
- Architect, build, and maintain enterprise-scale data pipelines using Hevo and cloud data platforms.
- Lead SQL-based data transformation and optimization for high-volume telecom datasets.
- Design and enforce data modeling standards using DBT, focusing on telecom KPIs.
- Develop executive-level dashboards and operational reports in Tableau and Amazon QuickSight.
- Collaborate with various teams to translate telecom requirements into analytics solutions.
- Ensure data accuracy, latency, and availability for both near-real-time and batch reporting.
- Establish and monitor data quality checks, SLAs, and alerting mechanisms.
- Review and mentor junior data engineers and analytics engineers.
- Drive best practices for performance tuning, cost optimization, and scalability.
- Manage documentation, lineage, and governance for critical telecom data assets.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 6+ years of experience in data engineering or analytics engineering.
- Advanced SQL expertise with large-scale, high-velocity datasets.
- Hands-on experience with Hevo or comparable ELT platforms.
- Strong experience using DBT for production-grade data modeling.
- Proven experience building dashboards in Tableau and Amazon QuickSight.
- Deep understanding of data warehousing and data models.
- Experience working with cloud-based data platforms, preferably AWS.
- Knowledge of Telecom domain is a bonus.
Benefits
- Flexible remote working options.
- Opportunities for professional development and growth.
- Collaborative and innovative work environment.
- Access to cutting-edge technologies.
- Health and wellness benefits.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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