Remote Senior Data Engineer

Description:

• Kuda is a money app for Africans, aiming to make financial services accessible, affordable, and rewarding for every African globally.
• The company has raised over $90 million from respected institutional investors and is expanding its services from offices in Nigeria, South Africa, and the UK.
• The Senior Data Engineer will lead data engineering efforts, driving innovation and growth within the company.
• Responsibilities include designing, developing, and optimizing large-scale data ingestion, transformation, and processing pipelines for various data types.
• The role involves leading the integration of multi-cloud and hybrid data platforms, defining data architecture standards, and managing SQL-based transformations using Dataform.
• The engineer will introduce real-time streaming solutions, establish data quality frameworks, and collaborate with Data Governance teams.
• Security, privacy, and compliance standards will be implemented within data pipelines, and the engineer will mentor junior team members.
• The position requires partnering with Data Science and BI teams to deliver data products and acting as a subject matter expert in cross-functional projects.
• The engineer will research emerging technologies, drive automation in data workflows, and optimize data storage and compute costs.

Requirements:

• A minimum of 7 years of experience in data engineering with a proven track record of leading teams is required.
• Expert-level SQL skills, including advanced query optimization and performance tuning, are essential.
• Proven experience with Microsoft SQL Server, Azure SQL DB, Azure Managed Instance, Google BigQuery, and Google Cloud Platform is necessary.
• Familiarity with Dbt. Cloud or Dataform for data modeling, testing, and deployment is required.
• Experience with data ingestion tools such as Airbyte, Azure Data Factory, and Fivetran is needed.
• Strong programming skills in Python and at least one additional language (Java, Scala, or Go) are preferred.
• Experience with streaming architectures like Kafka, Pub/Sub, Spark Streaming, or Flink is required.
• Familiarity with infrastructure-as-code tools such as Terraform, Pulumi, or Deployment Manager is necessary.
• A strong understanding of modern data architectures, including Medallion and Data Mesh Lakehouse, is required.
• Hands-on experience with CI/CD for data and containerization (Docker, Kubernetes) is essential.
• Proficiency in Agile delivery methodologies is required.
• Preferred qualifications include knowledge of machine learning pipelines, prior experience in FinTech or regulated industries, and exposure to Looker or similar BI tools.

Benefits:

• Kuda offers a great and upbeat work environment with a multinational team.
• Employees benefit from a pension fund.
• Competitive annual leave is provided, along with bank holidays.
• The company offers competitive paid time off for parental leave, moving days, birthdays, study leave, and more.
• Medical aid is included as part of the benefits package.
• Award-winning learning and development training opportunities are available for employees.