Data Engineer - Manager - AI & Data at Deloitte Nigeria

Deloitte is the largest private professional services network in the world. Everyday, approximately 286,200 professionals in more than 150 countries demonstrate their commitment to making an impact that matters. Our West Africa practice serves multinationals, large national enterprises, small and medium-sized enterprises and the public sector across Nigeria and Ghana.

In Nigeria, Deloitte is one of the leading professional services firms, specializing in providing Audit, Tax, Consulting, Risk Advisory and Financial Advisory services. We serve clients in a variety of industries from financial services, consumer, telecommunications, media & technology, energy resources & Industrial and government and public services.

We are recruiting to fill the position below:

Job Title: Data Engineer - Manager - AI & Data

Location: Lagos
Job Type: Full Time

Job Description

• As a Data Engineering Manager, you will lead the design, build, and scale of enterprise-grade data infrastructure and pipelines to power advanced analytics, AI solutions, and AI transformations across Tier-1 clients on the African continent.
• You will work at the intersection of business strategy and technical delivery, guiding multidisciplinary teams to enable data-driven decision-making and measurable business impact.

Responsibilities
You will be responsible for:

• Architecting scalable, secure, and high-performance data platforms
• Leading the design and development of robust ingestion, transformation, and governance pipelines
• Managing project timelines and deliverables across diverse industry engagements
• Coaching data engineers and analysts to deliver client-ready solutions
• Collaborating with AI/ML specialists, solution managers, and client stakeholders to translate strategic needs into modern data capabilities
• Drive data modelling, data quality, and metadata management best practices aligned to business KPIs.
• Build, manage, and scale cloud-native data infrastructure (e.g., on AWS, GCP, Azure)
• Mentor junior engineers, oversee code reviews, and ensure delivery quality to tier-1 consulting standards.
• Translate business and industry requirements into scalable data engineering solutions
• Partner with AI, strategy, and business consulting teams to deliver end-to-end data value realisation.
• Lead and own data engineering workstreams across AI transformation, analytics modernisation, and digital core rebuilds
• Design and implement data pipelines using modern architectures (e.g., Delta Lake, Data Mesh, Data Lakehouse)

Qualifications

• A Bachelor’s Degree in Computer Science, Software Engineering, or a related discipline with a minimum of Second Class Upper/Upper Credit division.
• Have a minimum of five credits in WASSCE Ordinary Level/NECO subjects or acceptable equivalent examination, including Mathematics and English Language in one sitting only.
• Minimum of 8 years of experience in data engineering, with at least 2 years in a team leadership or technical management role
• Strong understanding of data warehousing, data lakes, streaming, and batch architecture
• Experience with CI/CD for data, testing frameworks, and infrastructure-as-code (Terraform, etc.)
• Familiarity with data governance and security frameworks in regulated industries (e.g., FSI, healthcare)
• Previous experience in a top-tier consulting environment or client-facing data role
• Exposure to AI/ML deployment pipelines, MLOps, or analytics.
• Experience in delivering data modernization programs at enterprise scale.
• Proficient in building modern ETL/ELT pipelines using tools like Apache Spark, DBT, Kafka, Airflow
• Strong programming skills in Python and SQL (Scala/Java a plus)
• Deep experience with cloud data ecosystems (e.g., AWS Redshift/Glue, GCP BigQuery/Dataflow, Azure Synapse)

How to Apply
Interested and qualified candidates should:
Click here to apply

Application Deadline 23rd January, 2026.