Senior Data Engineer – Remote (Azure Focus)

About the role

This is a remote opportunity for an experienced data engineer to play a key role in a large‑scale digital transformation initiative. You will design, develop, and maintain scalable data solutions that provide reliable, analytics‑ready information across the organization.

Key responsibilities

• Design, develop and maintain scalable, reliable data solutions supporting a large‑scale digital transformation program.
• Build and optimise robust ETL/ELT pipelines that integrate data from diverse sources into trusted, analytics‑ready datasets.
• Develop cloud‑based data solutions using Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage Gen2, Azure SQL and related services.
• Use Python and SQL to create data transformations, processing workflows and analytical data solutions.
• Collaborate with business stakeholders, product owners, data architects and technical teams to translate requirements into effective data engineering solutions.
• Apply version control (Git) and engineering best practices, and leverage AI‑powered tools where appropriate.

Required profile

• At least 5 years of hands‑on experience with Python and SQL in a data‑engineering environment.
• Minimum 3 years working with Azure services (Azure Storage, Azure SQL, Azure Synapse, Azure networking) and Azure Databricks/Delta Lake.
• Proven experience designing data solutions and delivering trusted, analytics‑ready datasets.
• Strong analytical, problem‑solving abilities and excellent communication skills.
• Ability to work independently in a remote setting while maintaining ownership and delivery focus.

Required skills

• Python
• SQL
• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake Storage Gen2
• Azure SQL
• Delta Lake
• Git

What we offer

• Fully remote position with flexibility to work from anywhere in Nigeria.
• Opportunity to contribute to a large‑scale digital transformation initiative.
• Work with a modern Microsoft Azure cloud data ecosystem and cutting‑edge technologies.
• Use AI‑powered engineering tools to improve development, automation and optimisation.
• Collaboration with multidisciplinary teams and direct business impact.