• Application Deadline:
• Position: Data Engineer


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 4 years


• Location Lagos


• City Lekki


• Job Field Data, Business Analysis and AI 
  

 The role: 

 Are you an avid learner, constantly looking to improve and innovate? We are seeking a highly skilled and experienced 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 the 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 Requirement:

• Bachelor’s degree in computer engineering or related field


• 4+ years’ experience in a data role (Data Engineer, 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 and cloud data platforms (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.


• Good understanding of Data modeling and Data Architecture.


• Working experience with data governance tools.


• Exceptional communication skills and ability to support both technical and non-technical stakeholders.


• Natural ability to manage multiple initiatives and clients.


• Authorization to work in the country without sponsorship.