OMF Senior Data Engineer at Old Mutual

Job Description

If you're looking for a company that offers great culture, leadership, learning opportunities, challenges, rewards and recognition, then look no further than Old Mutual.

Who are We?
Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 17 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending.

Old Mutual Finance was established in 2008 to provide unsecured lending products and services to the SA market. The business started with a staff compliment of 34 and has since grown to over 3000 staff with more than 300 branches nationally. Within our branches we offer insurance, transactional banking and lending products as well as servicing.

Why Join Old Mutual?
Enabling our people to be their exceptional best is at the core of what we do. We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.
We will provide you with a holistic experience to realise and unleash your potential.

What we Offer:
In partnership with you, we promise to challenge and help you grow in your career through a personalised development plan. We strive to create and expose our people to diverse learning opportunities through formal and informal learning. Most importantly you work in diverse teams made up of enthusiastic people who strive for excellence.

The Opportunity:
This team’s primary focus is to build and establish the data platform capability by applying industry knowledge, best practices and innovative ideas to take Old Mutual Finance into the future through the use of best of the breed technologies and applied thinking and processes on its strategic journey to the cloud.

To complement the existing Data Management team, Old Mutual Finance is looking for a Senior Data Engineer who will design and implement scalable and robust processes to support the data engineering capability. This role will be responsible for implementing and supporting the data ecosystem in Old Mutual Finance.

This thought leader will use best practices in cloud engineering, data management and data storage to continue our drive to optimize the way data is stored, consumed and ultimately democratized. The incumbent will also collaborate with stakeholders across the organisation with use of the Data Engineering practices to facilitate the improvement in the way data is stored and consumed.

In this role, you will get to:

• Design and implement scalable and robust processes for ingesting and transforming datasets.

• Design, implement and support the creation and maintenance of data pipelines from a multitude of sources.

• Ingest large, complex data sets that meet functional and non-functional requirements.

• Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.

• Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data.

• Ensure that all data solutions support the organisation’s cloud strategy and aligns to the data architecture and governance including implementation of these data governance practices.

• Engineer data in the appropriate formats for downstream customers, risk and product analytics or enterprise applications.

• Development of API’s for returning data to Enterprise Applications.

• Identify, design and implement robust process improvement activities to drive efficiency and automation for greater scalability. This includes looking at new solutions and new ways of working and being on the forefront of emerging technologies.

• Work with various stakeholders across the organisation to understand data requirements and apply deep technical knowledge of data management to solve key business problems.

• Provide specialised support in the operational environment with all relevant support teams for data services.

• Effective management of demand across the various data streams and use cases.

• Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs.

• Support test and deployment of new services and features. 

What you will need to succeed (knowledge, skills and experience):

• Matric, with a degree in Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering.

• 5+ years of data engineering experience.

• Experience with designing and implementing cloud, specifically Amazon Web Services (AWS), solutions.

• 5+ years of experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including, but not limited to, any of the following combinations (1) SSIS and SSRS,  (2) SAS ETL Framework, (3) SAP ETL Framework, (4) MongoDB ETL deployments, (5) Apache Spark and Apache Hive deployments will be beneficial.

• The candidate having DBA ability and knowledge across at least 2 platforms (example: TSQL, SAS, PSQL, IBM VSAM and DB2 etc.) will also be beneficial.

• Experience with Dev/OPS architecture, implementation and operation.

• Knowledge of Engineering and Operational Excellence using standard methodologies. Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data.

• Experience in applying SAFe/Scrum/Kanban methodologies.

• Knowledge and understanding of business process management lifecycle which covers the design, modelling, execution, monitoring, and optimization as well as business process re-engineering.

• Strong problem solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution.

• Expert programming, performance tuning and troubleshooting skills, using the latest popular programming languages such as python, scala, java and suite of Microsoft languages C# and F# preferable.
  
  As part of the application process please complete this short survey: https://forms.office.com/r/vN4EXp2rQ1
  
  The time is now to find your greatness by becoming part of a company where potential is revealed and growth is inevitable.