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About the Organisation
Roamtech is a licensed Content Service Provider by the Communications Commission of Kenya (CCK), offering mobile phone content solutions through existing mobile networks. The company harnesses the full potential of Information Technology by rolling out cutting-edge solutions that unify IT aspects across multiple fields. With a commitment to reliability, scalability, and innovation, Roamtech delivers services that empower businesses and consumers alike.
Senior Data Engineer job at Roamtech | Apply Now
Nairobi, Kenya
Are you looking for IT jobs in Kenya 2025 today? then you might be interested in Senior Data Engineer job at Roamtech
Full Time
Deadline:
31 Oct 2025
Job Title
Senior Data Engineer job at Roamtech
Roamtech
Job Description
Reporting to senior management, the Senior Data Engineer will architect and lead the development of robust data architectures, including warehouses, lakes, and streaming platforms. The role involves taking full ownership of data pipelines, optimizing performance, and collaborating with cross-functional teams to translate business needs into scalable data solutions. S/he will play a leadership role by mentoring engineers, enforcing data governance practices, and driving innovation by adopting modern tools and frameworks.
Performance will be measured by the robustness and observability of data pipelines, the trustworthiness of data for business decision-making, the growth and mentorship of junior engineers, and the scalability of Roamtech’s data platform.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
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How to Apply
Architect and implement scalable data architectures (data lakes, warehouses, streaming solutions).
Build and maintain end-to-end data pipelines from ingestion to serving layers.
Define and maintain data models to support analytics, machine learning, and reporting.
Mentor junior and mid-level engineers through design discussions, code reviews, and training.
Optimize performance by identifying bottlenecks and tuning pipelines and queries.
Implement data governance measures, quality checks, access controls, and compliance with GDPR/CCPA.
Collaborate with product, engineering, and business stakeholders to deliver data solutions.
Introduce new technologies, tools, and frameworks to enhance reliability and scalability.
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Education:
Bachelor’s degree in Computer Science, Statistics, Economics, Accounting, or related field.
Experience:
5+ years in data engineering or backend engineering, with leadership experience in large-scale data projects.
Skills & Competencies:
Strong programming skills in Python (or Scala/Java).
Advanced proficiency in SQL.
Hands-on experience with big data frameworks (e.g., Spark, Flink, Beam).
Knowledge of data modeling and distributed systems.
Strong problem-solving, leadership, and collaboration skills.
Familiarity with governance, compliance, and privacy frameworks (GDPR, CCPA).
