- Job Title: Senior Data Engineer
- Location: Lagos (Remote)
- Employment Type: Fixed-Term Contractor
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About Deimos
Deimos is a development and operations consultancy that prides itself on being the best of the breed. We work with companies of all sizes to ensure that their technology eco-systems are scalable, secure, redundant, cost-effective, and performant.
We pride ourselves on innovating and pushing the edge. We are focused on the cloud. Whether it is AWS, Google Cloud, or Microsoft Azure. We are comfortable and experienced in them all.
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.
How to Apply
Interested and qualified candidates should click on ‘Apply Here’ below.
