Flutterwave was founded on the principle that every African must be able to participate and thrive in the global economy. To achieve this objective, we have built a trusted payment infrastructure that allows consumers and businesses (African and International) make and receive payments in a convenient border-less manner.

We are recruiting to fill the position below:

Job Position: Senior Data Engineer

Job Location: Lekki, Lagos (Hybrid)
Category: Data Team

The Role

 

  • Are you an avid learner, constantly looking to improve and innovate? We are seeking a highly skilled and experienced Senior Data  Engineer to partner with in driving our data strategy.
  • You’ll play a key role in driving our journey towards becoming a fully data-driven organization and embedding a data first culture across the business.

Principal Duties and Responsibilities

  • Design and build high-performance, secure, and scalable data pipelines to support data science projects following software engineering best practices.
  • Curate, wrangle, prepare data, and feature engineering to be used in machine learning models
  •  Design and develop the data and analytics platform selecting the right technologies for each problem at hand (big-data stack, SQL, no-SQL, etc.)
  • Build a modular pipeline to construct features and modeling tables.
  • Build a sense of trust and rapport that creates a comfortable & effective workplace and experience in working as part of an agile squad
  • Work with Data Analytics and Science team to understand the business needs and build impactful analytics solutions.
  • Coordinate and collaborate with the Data Analytics team & other engineering teams to align on our roadmap

Competency and Skill Requirements

  • 5+ years of experience in a data role (Senior Data Engineer, Senior Data Analyst, Analytics Engineer, etc.)
  • 2+ years of hands-on experience building data pipelines in production and the ability to work across structured, semi-structured, and unstructured data.
  • Hands-on experience implementing ETL (or ELT) best practices at scale . 2+ years of experience in ML pipeline for streaming/batch workflow.
  • Hands-on knowledge and experience in working with the modern data stack (Snowflake, BigQuery, Redshift, dbt)
  • Hands-on knowledge and experience with orchestration tools (Airflow, Prefect, or Dagster)
  •  Professional experience using Python for data processing, SQL, Git (as source code versioning and CI/CD), and Apache Kafka.
  • Natural ability to manage multiple initiatives and clients
  • Authorization to work in the country without sponsorship
  • Applicants based in Nigeria, Kenya, Ghana & Egypt are welcome to apply

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