Data Engineer

Job not on LinkedIn

October 31

Apply Now

Receive Emails with Similar Jobs

Kuda

WebsiteLinkedInAll Job Openings

Fintech • Banking • B2C

Kuda is a digital banking platform designed to provide seamless and free financial services primarily for Africans. The app facilitates free transfers, cashless payment options, and interest-earning on savings. Kuda offers features such as bill payment, gift card purchasing, and budgeting tools. It provides users with a Kuda debit card for online and offline transactions, offering a simple solution for managing finances. The platform also supports businesses with tools like POS systems, invoicing, payroll, and business loans. Licensed under various financial authorities, Kuda expands its services across Nigeria, the UK, Canada, and soon Uganda, aiming to offer convenient banking with transparency and customer-focused solutions.

51 - 200 employees

Founded 2019

💳 Fintech

🏦 Banking

👥 B2C

📋 Description

• Design, build, and maintain scalable data ingestion and processing pipelines that support analytics, machine learning, and operational use cases. • Integrate and transform data from diverse structured and unstructured sources into trusted, high-quality datasets. • Collaborate with business stakeholders to translate analytical and operational needs into efficient data models and pipelines. • Monitor and optimise data pipeline performance, ensuring reliability, observability, and cost efficiency. • Support data quality, lineage, and metadata management through governance-aligned frameworks and automation. • Enable prescriptive and predictive analytics by preparing and curating datasets for machine learning models. • Partner with data scientists and ML engineers to deploy and operationalise ML models into production pipelines. • Continuously evaluate and implement modern tools and frameworks to improve data acquisition, orchestration, and delivery. • Develop analytical datasets, metrics layers, and transformations that power dashboards, self-service analytics, and advanced insights. • Collaborate closely with data architects, platform engineers, and business teams to ensure alignment between data strategy, architecture, and delivery.

🎯 Requirements

• 3–5 years of hands-on experience as a Data Engineer or in a similar data-focused engineering role. • Strong proficiency in SQL, including advanced query design, optimisation, and performance tuning. • Proven experience working with relational databases such as Microsoft SQL Server, Azure SQL Database / Managed Instance, or PostgreSQL. • Demonstrated ability to integrate, transform, and consolidate data from heterogeneous sources (e.g., Azure SQL, SQL Managed Instances, or BigQuery) into analytics-ready datasets on Google Cloud Platform (GCP) using BigQuery and visualised through Looker or similar BI tools. • Exposure to ETL/ELT frameworks such as SQL Server Integration Services (SSIS), dbt Cloud, or Dataform. • Skilled in the design, implementation, monitoring, and optimisation of modern data platforms and pipelines to support analytical and operational workloads. • Experience with Azure Data Factory (ADF) or similar orchestration tools is a strong advantage. • Familiarity with one or more programming languages such as Python, Java, Scala, R, or C# (Python preferred). • Experience applying modern software engineering practices, including version control, CI/CD, and Agile methodologies. • Strong computational and analytical thinking skills, with the ability to design efficient and scalable data solutions. • Bachelor’s degree in computer science, Engineering, or related technical discipline or equivalent practical experience in data engineering. • Data Stack: Azure Microsoft SQL Server (MI), Fivetran, Airbyte, Google Big Query, Google Cloud Platform (GCP), Dbt Cloud, DataForm (GCP), Looker.