Roamtech is a licensed Content Service Provider by the Communications Commission of Kenya (CCK) to provide mobile phone content through the existing mobile telephone networks. We seek to harness the full Information Technology potential as we roll out cutting edge solutions and services that create unison in the various IT aspects and fields.
This Senior Data Engineer role is focused on leading the design and implementation of highly scalable data architectures and pipelines. You will take end-to-end ownership of data flows, ensuring reliability, observability, and efficiency across the platform.
Key Responsibilities
- Architect & Lead: Design and implement scalable data architectures, including data lakes, warehouses, and streaming solutions.
- End-to-End Ownership: Own pipelines from ingestion to serving layers, ensuring reliability, observability, and cost-efficiency.
- Data Modeling: Define and maintain robust data models to support analytics, machine learning, and operational reporting.
- Mentorship & Leadership: Guide junior and mid-level engineers through code reviews, design discussions, and best practices.
- Performance Optimization: Identify bottlenecks, tune pipelines, and improve query performance at scale.
- Governance & Security: Implement and enforce data quality checks, access control, and compliance with privacy regulations (GDPR, CCPA).
- Collaboration: Work closely with product, engineering, and business stakeholders to translate requirements into scalable data solutions.
- Innovation: Evaluate and introduce new technologies and tools to improve the data platform’s reliability and developer experience.
Requirements
- Qualification: BA/BSc/HND qualification in a relevant field.
- Experience: 5+ years in data engineering or backend engineering, with a track record of leading large-scale data projects.
- Programming Expertise: Advanced skills in Python (or Scala/Java) and strong proficiency in SQL.
- Big Data Frameworks: Deep experience with Spark, Flink, Beam, or similar distributed data processing engines.
- ETL/ELT Orchestration: Expertise with Airflow, dbt, Dagster, or similar tools.
- Cloud Platforms: Strong experience with at least one major cloud provider (AWS, GCP, Azure) — including data services like Snowflake, BigQuery, Redshift, Databricks.
- Data Modeling: Skilled at designing data schemas (OLTP, OLAP, dimensional models).
- Streaming Data: Experience with Kafka, Kinesis, or Pub/Sub for real-time pipelines.
- DevOps Mindset: Familiarity with CI/CD, infrastructure-as-code (Terraform, CloudFormation), and monitoring/alerting.
