From the employer's hiring system · Verified employer

Data Engineer

Standard Bank Group

Job at a glance

Employer: Standard Bank Group
Position: Data Engineer
Location: Nairobi, Kenya
Job type: Full-time
Experience: 8-10 years
Education: First Degree in IT, Maths, Stats or related
Salary: Not stated in the advert
Application deadline: Open until filled (listed until 24 October 2026)
Posted on VacancyKE: 7 October 2026

VacancyKE note

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Have three referees ready, ideally including a recent supervisor, with current phone numbers and emails. Kenyan employers commonly contact referees before making an offer.

Applying is free. Never pay anyone for a job, an interview, training or a medical check connected to this vacancy.

Apply only through the employer’s official page linked here. Ignore anyone on WhatsApp or social media offering to “fast-track” your application.

Apply early. Some employers review applications as they arrive and may close the advert before the stated deadline.

Tip: have your CV ready as a PDF. Our free ATS resume builder can make one in a few minutes.

Finance roles in Kenya often ask for CPA(K) from KASNEB and active membership of ICPAK. Include your membership number in your application.

VacancyKE summary

Standard Bank Group is hiring a Data Engineer in Nairobi to lead the design and evolution of enterprise data architecture. You will build scalable data platforms and support advanced analytics, machine learning, and generative AI use cases.

What stands out about this opportunity

Focus on Generative AI and Machine Learning support
Leadership role in data architecture design
Requires deep technical expertise in big data frameworks

Key responsibilities

Provide technical leadership in designing and evolving enterprise data architecture and platforms.
Establish scalable, secure, and governed data foundations for high-quality data products.
Support advanced analytics, machine learning, and generative AI use cases.
Ensure data solutions align with enterprise architecture standards and governance requirements.
Build databases, warehouses, reporting, and data integration solutions.
Optimise big data pipelines, architectures, and datasets for performance.
Create and integrate APIs for various systems.
Perform root cause analysis on data processes to identify improvement opportunities.

Who should apply?

This role suits senior data professionals with strong architectural expertise who want to drive AI and analytics capabilities within a major financial institution.

Key requirements

8-10 years experience
First Degree in relevant field
SQL, PL/SQL, SPARK proficiency
Big data pipeline optimization
API creation and integration
Enterprise data architecture knowledge

Nice to have

Professional certifications in cloud data platforms, data architecture, or AI engineering.

How to apply

Apply via the SmartRecruiters portal using the provided link.

Official source: From the employer's hiring system · jobs.smartrecruiters.com. VacancyKE never charges job seekers.

View job & apply

Original employer advertisement

Published by Standard Bank Group on jobs.smartrecruiters.com. Shown for reference; the employer’s version is the official one.

The employer’s advert

To provide technical leadership in the design, delivery, and continuous evolution of enterprise data architecture, data platforms, and AI engineering capabilities. The role enables the organisation to derive value from data by establishing scalable, secure, and governed data foundations, engineering high-quality data products, and supporting advanced analytics, machine learning, and generative AI use cases. The role ensures that all data solutions are aligned to enterprise architecture standards, governance requirements, security controls, and strategic technology objectives while promoting data reliability, interoperability, and operational excellence.

Type of Qualification: First Degree

Field of Study: Information Technology, Mathematics, Statistics, Business Commerce or a related discipline
Relevant professional certifications in cloud data platforms, data architecture, data engineering, data science, machine learning or AI engineering will be an advantage.

Experience Required

8-10years

• Experience in building databases, warehouses, reporting and data integration solutions.

• Experience building and optimising big data data-pipelines, architectures and data sets.

• Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

• Deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory

• Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling.

• Experience with data pipeline and workflow management tools

Behavioural Competencies:

• Articulating Information

• Developing Expertise

• Interpreting Data

• Managing Tasks

• Producing Output

• Team Working

Technical Competencies:

• Big Data Frameworks and Tools

• Data Engineering

• Data Integrity

• Data Quality

• IT Knowledge

• Stakeholder Management