Remote Data Jobs • ELT

Focusing on leading the design, development, optimization, and governance of enterprise-scale data platforms and pipelines on the Microsoft Azure cloud, this role requires a deep blend of technical expertise, architectural insight, and leadership skills. You will architect and implement scalable, secure, and cost-efficient cloud-native data solutions, primarily utilizing Azure Synapse Analytics.

Challenge the status quo, aiding the growth and defining the future of cloud data consumption for Enterprise Organizations. The successful candidate will evangelize the benefits of a modern, ELT-first approach, driving continuous, iterative improvement to our data platform. You will architect data-driven solutions that directly inform executive decision-making and operational excellence.

This role is pivotal in driving our data strategy, fostering a data-driven culture, and ensuring the robust infrastructure and insights necessary for our continued success as a leading African fintech. You’ll collaborate with our amazing Marketing team and lead a dedicated data team to help execute our marketing strategy. You’ll be responsible for building and improving our current capabilities while shaping the future roadmap.

Shape the future of how Canva generate and interact with business insights through data. This role involves building the foundational analytics layer for using large language models, designing scalable semantic data models, and partnering with data scientists to automate performance reporting. You'll also modernize legacy dashboards with AI and contribute to a data platform that supports better decision-making.

Support the development and maintenance of our analytics infrastructure, working closely with the data analysts, data engineers, and business stakeholders. This role is responsible for building and maintaining foundational data models, ensuring data quality, and enabling efficient and reliable reporting. Design, build and maintain data pipelines, data marts, and other data components needed for the data analytics team.

At Ensono, we’re evolving into a software-first Managed Services Provider, powered by the Envision Operating System. You will define the data foundation that enables AI/ML, automation, and analytics at scale. The Data Architect will own the blueprint for data flow, governance, and integration across ServiceNow, Snowflake, operational telemetry, and customer systems.

The Data Engineer designs the pipelines and platforms that power predictive services, anomaly detection, and intelligent automation, turning raw, messy signals into high-quality, AI/ML-ready datasets that fuel real-time insights and proactive operations. They architect pipelines and collaborate with data scientists, ML engineers, and ops teams to make sure models don’t just run in notebooks but actually change how work gets done.

We are looking for an experienced Senior Data Engineer with a 6–8 years background in designing, building, and optimizing data pipelines in AWS environments. You will design, build, and maintain ELT pipelines that collect, transform, and load data from various sources. Ensure data integrity, accuracy, and consistency across systems. Collaborate with the Data Architect and Data Analyst to design optimal data models and integration solutions.

This is a hands-on role where you’ll architect and implement the company’s first data lake, ingestion frameworks, and attribution pipelines, and scale them into a robust BI environment; partner closely with marketing, product, and engineering to ensure the data infrastructure not only works but drives real business outcomes.

We’re seeking an experienced data leader to lead our Data Engineering team, driving the design of scalable, secure, and efficient infrastructure that powers data-driven decision-making. In this role, you’ll serve as a trusted advisor to business and technology leaders and a guiding force for your team. You’ll focus on piping impactful insights to the right people at the right time, supporting analytics and data science initiatives, and aligning data infrastructure and strategy with business objectives.