#IkoKaziKE

Back to jobs

Data Engineer At Standard Bank Group

Standard Bank Group

Banking / Financial Services full time Nairobi Posted 4 days ago

Standard Bank Group is the largest African banking group by assets offering a full range of banking and related financial services. "Africa is our home, we drive her growth” Our vision is to be the leading financial services organisation in, for and across Africa, delivering exceptional client experiences and superior value. This sets the primary goals and standard of excellence we intend to achieve in the medium term. With a heritage of over 150 years, we have an on-the-ground presence in 20 countries in sub‑Saharan Africa; fit-for-purpose representation outside Africa; and a strategic partnership with the Industrial and Commercial Bank of China (ICBC). In line with the realities of risk, regulation, technology and competition that characterise our operating context, we continue to invest significantly in our diversified operations; our people and culture; our systems and infrastructure; and our brand. In doing so, we understand that our commercial success and social relevance over the long term depends on placing our clients at the centre of everything we do, and ensures that the outcomes of our activities are a catalyst for growth on this continent we call home. The long-term foreign currency ratings for The Standard Bank of South Africa, the single largest operating entity within the Standard Bank Group, are: Fitch Ratings BBB- (negative), Moody’s Baa2 (negative) and Standard & Poor’s BBB- (negative). The group is listed on the JSE Limited, share code SBK, and the Namibian Stock Exchange, share code SNB. The largest bank in the world, ICBC, is a 20.1% shareholder in the group. Other than the 20.1% ICBC shareholding, 32.9% of Standard Bank’s shareholder base is foreign. We subscribe to the Code of Banking Practice, a set of principles governing banking in South Africa and ensuring the highest standards of professionalism, integrity and fairness.Job Description 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. Qualifications 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