Data Engineer at Miva Open University

Miva Open University is an education company building a new kind of university targeted at the African region. Miva is a Pan- African Distance e-Learning University that is built on a couple of beliefs: Firstly, we believe that the traditional brick and mortar approach to tertiary education is no longer a viable option in serving learners on the African continent. This approach will not provide the capacity and efficacy for the people of the region.

We are building a university experience that can leverage excellent academic talent (wherever it is to be found) and digital technologies to create a new, fresh, more efficacious and more accessible tertiary experience. Our second belief is that this new tertiary experience must not only meet but exceed the existing way of doing things in terms of quality, efficacy and preparing learners for the future. We are uncompromising in these beliefs and this is why we are excited to speak to you.

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Abuja (FCT)

Overall Functions

• We are looking for an experienced Data Engineer to join our Operations team. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.
• The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
• The Data Engineer will support Miva’s crossfunctional teams including Academics, Commercial, Operations and Marketing, amongst others, on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Key Responsibilities

• Build data pipelines that clean, transform and aggregate data from different sources.
• Create and maintain optimal data pipeline architectures.
• Develop models to be used to make predictions and answer questions for the overall business.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Develop analytical tools and programs.
• Collaborate with stakeholders including the Executive, Product, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Manage a team of 2-4 junior data analysts to deliver on data projects, troubleshoot data-related issues, and fulfill business data requirements.
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Work with the team to build complex algorithms that provide unique insights into the company’s data.
• Use agile software development processes to iteratively make improvements to the company’s end systems.
• Model front-end and back-end data sources to develop a comprehensive picture of user flows that enables impactful data analysis.
• Optimize existing infrastructure for extraction, transformation, and loading of data from various data sources using SQL and Google BigQuery.
• Prepare data for prescriptive and predictive modelling.
• Identify, design, and implement internal process improvements: automating manual processes, and optimizing data delivery for greater scalability.

Qualifications and Skills

• Degree in Computer Science, Information Technology, Engineering or other relevant fields.
• Masters Degree in Statistics, Applied Math, or related disciplines or fields is an advantage.
• Strong analytic skills related to working with unstructured datasets.
• Comfortable working in a dynamic environment with a research-oriented team working on concurrent projects.
• Ability to work efficiently both independently and in a team.
• Minimum of 3 years previous experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Experience with object-oriented/object-function scripting languages (e.g., Java and Python).
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience using Google Cloud Platform or other similar cloud services.
• Experience working with data visualization tools including Looker and Power BI.
• Experience working with data ETL tools and processes, DBT and Fivetran experience is a plus.
• Communication skills, especially explaining technical concepts to non-technical stakeholders.

Remuneration
N500,000 Net - N650,000 Net per month, with benefits.

How to Apply
Interested and qualified candidates should send their CV and application letter to: jobs@miva.university using the job tile as the subject of the mail.

Application Deadline 1st January, 2024.