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The Senior Data Engineer will play a key role in designing, debating and implementing our strategic data architecture and ensuring reliable and efficient data flows across the platform. You will develop, automate, and maintain data pipelines, enhancing the efficiency and reliability of our data systems. Your expertise will be crucial in optimizing data engineering workflows and upholding the highest standards of data governance and security.
Job Responsibility:
Lead data architecture discussions and design scalable, reliable data systems that support our growing business needs
Build and maintain production-grade data pipelines using modern data stack tools and methodologies
Partner with cross-functional teams to deliver data solutions that drive business value
Mentor team members and contribute to our culture of continuous learning and knowledge sharing
Ensure data quality, privacy, and governance standards across all data initiatives
Requirements:
Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or another quantitative field
5+ years of professional experience as a Data Engineer or Software Engineer in data-rich organizations
3+ years specifically in data engineering, with experience leading data architecture discussions and technical decision-making
Experience with a major cloud platform (AWS/GCP etc), ideally with some exposure to Infrastructure as Code or remote configuration tools
Hands-on experience with cloud-native data warehouses such as BigQuery (preferred), Snowflake, Redshift, and data lakes architectures
Experience with transformation tools like dbt, and distributed data processing frameworks such as Apache Spark or Apache Flink
Strong coding experience in Python/Scala and advanced SQL knowledge across relational and non-relational databases
Maintain and optimize high-performance data pipelines with comprehensive CI/CD automation, implementing observability frameworks (metrics, logging, distributed tracing) and data quality gates to ensure pipeline freshness, accuracy, and completeness
Drive data-platform architecture decisions by turning ambiguous problems into technical designs and project plans and taking ownership of the end-to-end solutions
Strong communication skills to effectively partner with stakeholders across the organization
Proven ability to work independently while collaborating effectively in team environments
Nice to have:
Experience working with Internet and technology companies
Experience working with Telco, MNOs & MNVOs
Experience working in a fast-paced scale up environment
What we offer:
Health Insurance
work-from-anywhere stipend
annual wellness & learning credits
annual all-expenses-paid company retreat in a gorgeous destination & other benefits