Job details

Data Engineer - DWH

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. FairMoney maintains a strong international presence, with offices in several countries, including France, Nigeria, Germany, Latvia, the UK, Türkiye, and India.
In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets.

The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents.

To gain deeper insights into FairMoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch this informative video.

Role and Responsibilities

As a Data Engineer at FairMoney, You will be responsible for mainly, but not limited to:

Work closely with Data Analysts/Scientists, understand the business problems, and translate the requirements into a database, ETL, or reporting solution
Design, build, and maintain ingestion and integration of multiple types of data sources
Proficiency in converting heterogeneous data sources to simplified Data Models following Data Warehousing Best Practices for reducing the time-to-value of data for analysis
Build data orchestration pipelines over Airflow for automation and scheduling
Implement tools and processes for ensuring data quality, and freshness with reliable, versioned, and scalable solutions
Identify issues in data flow and improvements in data stack which comprises visualization tools (Tableau/Power BI), data warehouse (Snowflake), modeling (dbt), git, and other in-house built as well as open source tools.
Implementing new technologies in a production environment to create a frictionless platform for data analytics and science teams
Make it easy for business stakeholders to get a better understanding of data, and make the organization data-literate for self-serve analytics.

Highest proficiency in SQL and ability to build optimized queries on very large datasets.
2-5 years of work experience in designing, developing & maintaining ETL, databases & OLAP Schema, and Public Objects (Attributes, Facts, Metrics, etc.)
Proficient with transactional Python and good to have, as well as analytical Python.
Proficiency in data principles, system and data architecture, and dimensional data modeling for Data Warehousing and Business Intelligence.
Basic knowledge of Tableau/Power BI dashboard building to create monitoring dashboards.
Good to have development experience in building business applications with a good command of Bash, Docker, Kubernetes and Cloud Platforms.
Effectively form relationships with the business in order to help with the adoption of data-driven decision-making.
Ability to learn new software and technologies quickly to create prototypes for business use cases and make them ready for production.

Training & Development
Family Leave (Maternity, Paternity)
Paid Time Off (Vacation, Sick & Public Holidays)

Recruitment Process

A screening interview with one of the members of the Talent Acquisition team ~30 minutes.
Technical Interview - SQL/Python proficiency with Tech.Team ~60 minutes
Assignment to be done at home.
Technical design interview - Shubham Jain ~60 minutes

FairMoney Glassdoor Company Review

3.8

FairMoney DE&I Review

3.8

CEO of FairMoney

Laurin Nabuko Hainy

Approve of CEO

Average salary estimate

$75000 / YEARLY (est.)

min

max

$60000K

$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer - DWH, FairMoney

Join FairMoney as a Data Engineer - DWH and embark on a thrilling journey with one of the most innovative mobile banking institutions targeting emerging markets! Established in 2017, FairMoney has already made remarkable strides with nearly €50 million in funding from notable global investors, shaping the financial landscape across several countries like Nigeria, France, and India. As a Data Engineer, you will play a crucial role in transforming data into actionable insights by collaborating with Data Analysts and Scientists to develop efficient ETL and reporting solutions. You'll design and build robust data models and data ingestion systems that are not just functional but also adhere to Data Warehousing Best Practices. You'll leverage tools like Airflow to automate data pipelines, ensuring high data quality and seamless integration of various data sources. With a deep understanding of SQL, you'll craft optimized queries on massive datasets, while also getting a chance to dive into Python and data visualization tools like Tableau or Power BI. If you're ready to make data literacy a cornerstone of decision-making at FairMoney and build solutions that empower stakeholders, this might be the perfect role for you! Plus, enjoy perks like family leave and generous paid time off while working in an environment that promotes continuous learning and development. Let's revolutionize finance together!

Frequently Asked Questions (FAQs) for Data Engineer - DWH Role at FairMoney

What does a Data Engineer - DWH at FairMoney do?

As a Data Engineer - DWH at FairMoney, you'll be responsible for designing and developing data pipelines, maintaining data integration from multiple sources, and ensuring data quality. This role necessitates a combination of SQL proficiency and knowledge of data warehousing best practices, aimed at driving business strategies through data-driven insights.