Deimos is a Cloud-native Developer and Security Operations technology services company. We help companies of all sizes adopt the Cloud for improved service delivery to their clients. We�re a fully remote African-based team of engineers who are passionate about implementing engineering best practices. We leverage the latest technologies while building globally competitive solutions for our clients. With Deimos being one of the two moons of Mars, we refer to ourselves as �Martians� who are on a mission to Mars, together.
About the Role
- As a Senior Data Engineer (Azure), you will design, build, and optimize data pipelines, models, and integration workflows within the Microsoft Azure ecosystem. Your work will underpin our data-driven decision-making — ensuring scalable, reliable, and secure solutions that support business intelligence, analytics, and operational efficiency across the organisation.
- You will collaborate closely with our data, product, and engineering teams to design architectures that bring clarity, structure, and speed to how we use data at scale.
What You’ll Do
Data Architecture & Engineering
- Design, build, and maintain scalable data pipelines using Azure Databricks.
- Develop and optimize ETL/ELT processes for ingesting both structured and unstructured data from multiple sources.
- Architect and implement data lakehouses and data warehouses leveraging Azure Data Lake Storage (ADLS).
- Implement robust data validation, cleansing, and transformation processes to ensure data accuracy and integrity.
Governance, Security & Performance
- Partner with Governance teams to ensure compliance with data lineage, cataloging, and security policies (e.g., Azure Purview).
- Establish proactive monitoring and alerting mechanisms to identify and resolve pipeline or infrastructure issues.
- Continuously tune and optimize pipelines and queries for performance, scalability, and cost efficiency.
- Leverage Azure Monitor, Log Analytics, and Application Insights to track, troubleshoot, and enhance system performance.
What You’ll Bring
Qualifications & Experience
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- 5+ years of professional experience in data engineering, with at least 3 years in Azure-based environments.
- Proven experience designing and managing large-scale data architectures and cloud-based pipelines.
- Strong understanding of distributed data processing, data lifecycle management, and cloud cost optimization.
- Experience integrating real-time streaming data (e.g., Kafka, Azure Event Hubs).
- Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect (advantageous).
Who You Are
- A strategic problem-solver who sees both the details and the bigger picture.
- Passionate about data quality, scalability, and automation.
- Curious and proactive in exploring emerging data technologies.
- A clear communicator — able to translate complex technical ideas into business language.
Method of Application
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