Level

Moniepoint

Senior Data Engineer

Moniepoint is hiring a Senior Data Engineer for a remote role. Level rates it ; you can apply on Moniepoint.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, SQL and Git.
  • Level lists 147 other open roles at Moniepoint.
  • The role was posted in the last few days.

AI in this role

Builds and optimizes data pipelines and platforms to support scalable data processing and analytics.

pythonsqlgitgoogle-cloudawsazureterraform
data-engineeringdata-pipelinescloud-platformsdata-governance

Who we are

Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. 

As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.

About the role

What you will get to do

  • Build and maintain robust data pipelines processing large volumes of data
  • Update and optimise our data platform for speed, scalability and cost
  • Coordinate with different functional teams to understand and meet their data needs
  • Develop processes and tools to monitor and analyse model performance and data accuracy
  • Solve general data-related problems

To succeed in this role, you should have

  • Minimum of 5 years of proven experience as a Data Engineer
  • Strong problem-solving skills
  • Advanced proficiency with SQL
  • Proficiency with Python
  • Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
  • Experience using version control tools such as git
  • Excellent written and verbal communication skills
  • A drive to learn and master new technologies and techniques
  • A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus

  • Data governance
  • Building and deploying machine learning models
  • Terraform or other infrastructure as code tools

What we can offer you

  • Culture -We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
  • Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
  • Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

  • A take-home assessment 
  • A preliminary phone call with the recruiter
  • A technical interview with a Lead in our Engineering Team
  • A behavioural and technical interview with a member of the Executive team. 

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

How we rate this

Senior Data Engineer at Moniepoint rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringData PipelinesCloud PlatformsData GovernancePythonSQLGitGoogle Cloud

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where data pipelines was part of your work. What did you do?
  3. Tell me about a project where cloud platforms was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Data Pipelines, Cloud Platforms, Data Governance, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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