Senior Data Engineer
As KOKO grows within and outside Kenya, our team
is looking for a motivated engineer who is passionate about data and who will
lay the foundation for more effective and efficient data management, analytics,
and developing insights in business strategy, operations planning, and product
design.
As one of our first data engineers, you’ll work with our Business, Analytics, Product and other Engineering teams to enable them to do more with KOKO’s data, and faster. You’ll formulate a strategy for our data processing and data stores, and own implementation and maintenance of these designs, ensuring continued high performance and availability.
KOKO’s suite of products spans multiple
technical domains and disciplines in software and hardware, and so experience
in end-to-end systems thinking across distributed components is key for this
role. IoT and real time data processing feature heavily in our technology suite.
Duties & Responsibilities
- Design,
implement and support KOKO’s data infrastructure
- Design
and implement ETL pipelines, selecting the most appropriate tools and
products in collaboration with KOKO’s analytics, product and engineering
teams
- Build
logical and understandable data models and data stores to house data from
KOKO’s various live products and other diverse data sources for
consumption by other teams
- Build
systems to track data quality and consistency, ensuring that our data is
accurate & up to date
- Help
continually improve ongoing reporting and analysis processes, automating
or simplifying self-service use of KOKO’s data (create tools that assist
teams in this process).
- Keep
our data secure across national boundaries through multiple data centers
and AWS regions
- As
the team grows, help recruit and manage additional data engineers
- Represent
the Data Engineering discipline during sprint planning meetings and
retrospectives
- Help
build the engineering culture at KOKO, attracting similar minded people
with a passion for using technology to tackle hard challenges
Qualifications
- At
least three years experience in software development, data engineering,
business intelligence, data science, or a related field
- Advanced
working SQL knowledge and experience working with relational databases,
query authoring (SQL) as well as working familiarity with a variety of
databases.
- A
track record of manipulating, processing, and extracting value from large
datasets
- Demonstrated
strength in data modeling, ETL development and optimisation, and data
warehousing
- Experience
working with big data technologies (preferably within AWS)
- Experience
performing root cause analysis on internal and external data and processes
to answer specific business questions and identify opportunities for
improvement
- Strong
analytic skills related to working with unstructured datasets
- Knowledge
of software engineering best practices across the development lifecycle,
including agile methodologies, coding standards, code reviews, source
management, build processes, testing, and operations
- Strong
initiative, project management and organizational skills
- Strong
communicator, both written and verbal, who is calm and decisive under
pressure
- Proactive
approach to knowledge sharing and developing best practices
- Strong
experience taking part in sprints, being involved in planning,
retrospectives and estimations with cross-functional teams
What We Offer
- Competitive
salary plus a quarterly cash bonus
- Annual
compensation reviews – we reward great work
- Discounted
health insurance with no-cost financing for you and your dependents (in
Kenya)
- 21
days of annual leave plus public holidays plus examination leave
- Ongoing
investment in you and your skills, incl. full access to over 5,000 online
courses
- The
right equipment for the job – a choice of MacBook, Windows, or Linux laptop
How to Apply