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Senior Data Engineer at Paystack

Salary not specified
Employment type not specifiedExperience not specifiedNigeria
Company not specifiedNigeria

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Senior Data Engineer at Paystack August, 2026 | MyJobMag window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-SMD4ZL13FW'); { "@context": "http://schema.org", "@type": "JobPosting", "title": "Senior Data Engineer", "datePosted": "2026-08-27T09:26:09+01:00", "validThrough": "2026-09-10T00:00:00+0000", "hiringOrganization" : { "@type" : "Organization", "name" : "Paystack", "sameAs" : "https://www.myjobmag.com/jobs-at/paystack" }, "educationRequirements": { "@type" : "EducationalOccupationalCredential", "credentialCategory" : "bachelor degree"}, "employmentType": "Full Time , Remote", "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "Nigeria" }, "experienceRequirements": { "@type" : "OccupationalExperienceRequirements", "monthsOfExperience" : "36" }, "industry": "Banking / Financial Services", "occupationalCategory":"Data, Business Analysis and AI , ICT / Computer", "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Lagos", "addressRegion": "Lagos", "addressCountry": "NG" } }, "image":"https://www.myjobmag.com/company_logo/99034paystack.jpg", "description": "<p>About the Senior Data Engineer role</p> <ul> <li>Data engineering at Paystack focuses on building and extending platforms for managing data at scale.</li> <li>This involves data ingestion, processing, storage and egress. Data engineers are also responsible for creating and maintaining the infrastructure our data platforms run on.</li> <li>Data engineers operate across a diverse tech stack.</li> <li>They are expected to be adaptable and drawn to learning new skills and technologies.</li> <li>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.</li> </ul> <p><strong>We&rsquo;ll trust you to</strong></p> <ul> <li>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, analytical data marts and various application interfaces.</li> <li>Streaming Data Processing: Implement and manage real-time data streaming solutions utilising Kafka, Debezium, Kafka Connect.</li> <li>Workflow Orchestration: Build, schedule and maintain custom workflows using Apache Airflow to ensure timely and accurate data processing and delivery.</li> <li>Database Management: Work with a variety of database technologies, including relational databases MySQL, PostgreSQL, NoSQL databases MongoDB and analytical/big data systems Redshift, BigQuery, SingleStore.</li> <li>Infrastructure as Code: Employ tools like Terraform, Kubernetes, and Helm to manage and provision infrastructure efficiently.</li> <li>CI/CD Implementation: Develop and maintain continuous integration and deployment pipelines to streamline development processes.</li> <li>Testing and Quality Assurance: Conduct unit and integration testing to ensure high code quality, data integrity and system reliability.</li> <li>Collaboration: Engage with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver solutions.</li> <li>Documentation: Maintain clear and comprehensive documentation of data processes, workflows and systems.</li> <li>Monitoring and Support: Monitoring system performance and addressing faults and failures in production systems as part of an on-call rotation.</li> </ul> <p><strong>You&rsquo;ll thrive in this role if you have</strong></p> <ul> <li>Bachelor&#39;s degree in Computer Science, Engineering or a related field.</li> <li>Proficiency in Python is essential. JavaScript and Scala development experience is advantageous.</li> <li>Minimum of 3 years of experience in data engineering roles, with a focus on building and managing data pipelines.</li> <li>Minimum of 2 years experience in software and/or application development roles can be concurrent with data engineering experience</li> <li>Hands-on experience with Kafka, Debezium, and Kafka Connect.</li> <li>Proficiency in a data pipeline orchestration tool or suitable workflow orchestration tool like Apache Airflow preferred, Databricks, Dagster or Airbyte.</li> <li>Strong understanding and hands-on experience working with various database technologies, including MySQL, PostgreSQL, MongoDB and Redshift BigQuery and SingleStore advantageous</li> <li>Experience with Terraform, Kubernetes, and Helm for infrastructure management.</li> <li>Solid knowledge of cloud computing concepts, with experience in AWS services being advantageous.</li> <li>Ability to write complex SQL queries across different dialects.</li> <li>Familiarity with unit and integration testing methodologies.</li> <li>Experience in setting up and maintaining CI/CD pipelines.</li> <li>Exposure to analytical systems and basic data science tooling. Familiarity with basic machine learning and analytical modelling concepts advantageous.</li> <li>Exposure to self-service reporting tools like Tableau, Looker and DOMO.</li> </ul> <p>Soft Skills:</p> <ul> <li>Good verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li> <li>Demonstrated ability to work collaboratively within a team and across departments.</li> <li>Comfortable working in a fast-paced environment with changing priorities, technologies and tooling. Life-long learners will do well here.</li> <li>Strong analytical and problem-solving skills.</li> </ul> <p><strong>Benefits</strong></p> <ul> <li>Competitive compensation package and benefits</li> <li>13th month bonus</li> <li>TSG Equity compensation</li> <li>Full medical coverage</li> <li>Wellbeing stipend</li> <li>Generous leave and sabbatical policies</li> <li>Hybrid working environment</li> <li>Smart, kind colleagues who are invested in your growth.</li> </ul>" } @keyframes pulse { 0% { transform: scale(1); } 50% { transform: scale(1.1); } 100% { transform: scale(1); } } @keyframes slide { to { transform: translateX(4px); } } .prompt-link { display: flex; align-items: center; gap: 0.75rem; padding: 0.6rem 0.9rem; background: linear-gradient(to right, #2563eb, #9333ea); color: white; text-decoration: none; border-radius: 9999px; font-weight: 500; box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1); transition: transform 0.3s ease, box-shadow 0.3s ease, background 0.3s ease; } .prompt-link:hover { transform: scale(1.02); box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1); background: linear-gradient(to right, #1d4ed8, #7e22ce); } .icon { width: 20px; height: 20px; } .prompt-link:hover .icon-scan { animation: pulse 2s infinite ease-in-out; } .prompt-link:hover .icon-arrow { animation: slide 0.3s forwards ease-out; }

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  • Posted: Aug 27, 2026

    Deadline: Not specified

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    Africa has millions of payments everyday day, but very few happen online. In Nigeria, just about 1% of transactions happen online. There are many barriers businesses have to face to accept payments online and that’s what Paystack is fixing. We're making progress. We've simplified the previously difficult customer experience, reduced integration time...

    Senior Data Engineer

    About the Senior Data Engineer 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 our data platforms run on.
    • 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.

    We’ll trust you to

    • 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, analytical data marts and various application interfaces.
    • Streaming Data Processing: Implement and manage real-time data streaming solutions utilising Kafka, Debezium, Kafka Connect.
    • Workflow Orchestration: Build, schedule and maintain custom workflows using Apache Airflow to ensure timely and accurate data processing and delivery.
    • Database Management: Work with a variety of database technologies, including relational databases (MySQL, PostgreSQL), NoSQL databases (MongoDB) and analytical/big data systems (Redshift, BigQuery, SingleStore).
    • Infrastructure as Code: Employ tools like Terraform, Kubernetes, and Helm to manage and provision infrastructure efficiently.
    • CI/CD Implementation: Develop and maintain continuous integration and deployment pipelines to streamline development processes.
    • Testing and Quality Assurance: Conduct unit and integration testing to ensure high code quality, data integrity and system reliability.
    • Collaboration: Engage with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver solutions.
    • Documentation: Maintain clear and comprehensive documentation of data processes, workflows and systems.
    • Monitoring and Support: Monitoring system performance and addressing faults and failures in production systems as part of an on-call rotation.

    You’ll thrive in this role if you have

    • Bachelor's degree in Computer Science, Engineering or a related field.
    • Proficiency in Python is essential. JavaScript and Scala development experience is advantageous.
    • Minimum of 3 years of experience in data engineering roles, with a focus on building and managing data pipelines.
    • Minimum of 2 years experience in software and/or application development roles (can be concurrent with data engineering experience)
    • Hands-on experience with Kafka, Debezium, and Kafka Connect.
    • Proficiency in a data pipeline orchestration tool or suitable workflow orchestration tool like Apache Airflow (preferred), Databricks, Dagster or Airbyte.
    • Strong understanding and hands-on experience working with various database technologies, including MySQL, PostgreSQL, MongoDB and Redshift (BigQuery and SingleStore advantageous)
    • Experience with Terraform, Kubernetes, and Helm for infrastructure management.
    • Solid knowledge of cloud computing concepts, with experience in AWS services being advantageous.
    • 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.
    • 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.

    Soft Skills:

    • Good verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
    • Demonstrated ability to work collaboratively within a team and across departments.
    • Comfortable working in a fast-paced environment with changing priorities, technologies and tooling. Life-long learners will do well here.
    • Strong analytical and problem-solving skills.

    Benefits

    • Competitive compensation package and benefits
    • 13th month bonus
    • TSG Equity compensation
    • Full medical coverage
    • Wellbeing stipend
    • Generous leave and sabbatical policies
    • Hybrid working environment
    • Smart, kind colleagues who are invested in your growth.

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1 200 000 ₦

Based on 67 offers with salary for this country

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