Paystack
payments
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Paystack. Skills: Data Pipeline Development, Streaming Data Processing, Workflow Orchestration, Database Management, Infrastructure as Code, CI/CD Implementation, Python, Kafka, Apache Airflow, SQL. Design, develop, and maintain robust data pipelines using ETL and ELT methodologies. Process and integrate data from various sources into a data lake, a central data warehouse, operational data stores, analytical data marts, and various application interfaces”
Industry & Context.
Analytical and problem-solving skills
On-call rotation
What They're Looking For.
Must Have
Minimum of 3 years of experience in data engineering roles, with a focus on building and managing data pipelines, Minimum of 2 years of experience in software and/or application development roles, Hands-on experience with Kafka, Debezium, and Kafka Connect, Proficiency in a data pipeline orchestration tool or suitable workflow orchestration tool like Apache Airflow, Understanding and hands-on experience working with various database technologies, including MySQL, PostgreSQL, MongoDB, Experience with Terraform, Kubernetes, and Helm for infrastructure management, Solid knowledge of cloud computing concepts, Ability to write complex SQL queries across different dialects, Familiarity with unit and integration testing methodologies, Experience in setting up and maintaining CI/CD pipelines, Proficiency in Python
Nice to Have
Knowledge of JavaScript and Scala is advantageous, Experience in AWS services being advantageous, BigQuery and SingleStore advantageous, Exposure to analytical systems and basic data science tooling, Familiarity with basic machine learning and analytical modelling concepts advantageous, Exposure to self-service reporting tools like Tableau, Looker, and DOMO
What You'll Do.
and maintain robust data pipelines using ETL and ELT methodologies
Process and integrate data from various sources into a data lake
a central data warehouse
operational data stores
analytical data marts
and various application interfaces
Implement and manage real-time data streaming solutions
and maintain custom workflows using Apache Airflow
Work with a variety of database technologies
Manage and provision infrastructure efficiently using tools like Terraform
Develop and maintain continuous integration and deployment pipelines
Conduct unit and integration testing
Maintain clear and comprehensive documentation of data processes
Monitor system performance and address faults and failures in production systems as part of an on-call rotation
How You'll Work.
Team & Collaboration
Engage with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver solutions; Work collaboratively within a team and across departments
Communication Scope
Good verbal and written communication skills; Ability to convey complex technical concepts to non-technical stakeholders; Clear Communication: Simplify ideas, communicate directly and confirm understanding to ensure clarity
Full Job Description
ABOUT THE COMPANY Paystack’s mission is to power African ambition. Over 300,000 businesses across Nigeria, South Africa, Ghana, and Kenya use Paystack’s modern payments gateway, including Qatar Airways, UPS, AXA Mansard Insurance, Greenspoon, Jumia, Kenpoly, Old Mutual, and many others. Over the last 10 years, we’ve built products that have helped shape online payments in Africa, from automated recurring payments to direct bank payments and automated chargebacks. Acquired by Stripe in 2020, the company has grown payment volume more than twelvefold since then and is now expanding deliberately beyond payments into banking, consumer finance, and cross-border infrastructure as part of The Stack Group (TSG), a family of technology brands building modern infrastructure across payments, banking, consumer products, and emerging technologies. At Paystack, we hire talented people, treat them with genuine respect, and give them the space, resources, and support to do the best work of their lives. And we’d love your help! ABOUT THE ROLE Data engineering at Paystack focuses on building and extending platforms for managing data at scale. This involves data ingestion, processing, storage, and egress. Data engineers are also responsible for creating and maintaining the infrastructure on which our data platforms run. Data engineers operate across a diverse tech stack. They are expected to be adaptable and drawn to learning new skills and technologies. The role requires a proactive individual who can work independently and collaboratively within a remote-first environment, has a strong software engineering background with good experience building and maintaining data pipelines, expertise in Python, and experience in streaming technologies. WHAT YOU WILL DO - Data Pipeline Development: Design, develop, and maintain robust data pipelines using ETL and ELT methodologies to process and integrate data from various sources into a data lake, a central data warehouse, operational data stores
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