With over two decades of expert knowledge and experience as information management specialists, PBT is a recognised leader in Business Intelligence and data warehousing and has extended its competency base to cover data quality and advanced analytics.

We pride ourselves to be a company who attracts, recruits and retains consultants of an exceptional calibre, not only within BI, but also within focused areas of Application Development.

We have worked in more than 25 countries around the world and are currently implementing large-scale projects throughout Africa, the Middle East and Australia.

PBT Group has an opportunity for a Data Engineer with financial services industry experience to architect and lead the development of data architectures across the company to enable business decision-making, governance, and best practice solutions.

The Data Engineer will design and implement data pipelines and systems to enable clean and usable data to inform data science and analytics.

Duties:

1. Macro environment
• Engage with the macro-environment to look for new opportunities, capabilities and trends that would add value to the required data engineering work. This includes ensuring that data systems meet the client’s regulatory commitments, and that data is reliable and efficient
• Adopt industry leading systems and ways of working to support best-in-class business capabilities for high performance database solutioning
• Actively participate in team, cross-discipline and vendor-driven collaboration sessions or forums to increase understanding of the working environment. This includes contribution and participation in the relevant Data Governance Frameworks

2. Business alignment
• Partner with Technology, Business and other stakeholders to ensure that database structures, programmes and applications meet business delivery requirements

3. Strategy formulation and execution
• Align to advance the clients’ data roadmap e.g. single data sourcing, architecture convergence and rationalisation of platforms.

4. Solution design
Design and implement scalable end-to-end database solutions including:
• address issues of data migration i.e. validation, clean-up and mapping and consistently apply data dictionaries
• component design and development
• identify and resolve production and application development constraints
• develop prototypes and proof of concepts
• integrate new technologies and software into the existing landscape
• develop data set processes for data modelling, mining and production
• optimal utilisation of big data
• documentation management and disaster recovery

5. Architecture governance
• Monitor adherence to processes which support the prescribed data architectural frameworks and ensure development/delivery teams align to the required standards and methodologies
• Recommend appropriate interventions in own area of ways to improve data architectural compliance. This includes BU/FA representation at relevant forums e.g. Architecture Board, Cloud Steerco

6. Project/Programme Management
• Monitor adherence to processes which support the prescribed data architectural frameworks and ensure development/delivery teams align to the required standards and methodologies
• Recommend appropriate interventions in own area of ways to improve data architectural compliance. This includes BU/FA representation at relevant forums e.g. Architecture Board, Cloud Steerco

Experience:
• Worked in similar role in financial services industry
• In depth knowledge and understanding of:
• Data governance and data management frameworks
• BI and Warehouse design
• Metadata Management
• Enterprise Information/Enterprise Application
• Service Oriented Architecture
• Data Integration: Extract Transform Load (ETL), batch architecture and frameworks
• Event Driven Architecture
• XML and related technologies
• SOA & Web Services
• Logical Database Design
• Statistical analysis and modelling
• Database architectures
• Hadoop-based technologies (e.g. MapReduce, Hive and Pig, Spark)
• SQL-based technologies (e.g. Oracle and MSSQL)
• NoSQL technologies (e.g. Cassandra and MongoDB)
• Data modelling tools (e.g. ERWin, Enterprise Architect and Visio)
• Python, C/C++ Java, Perl
• MatLab, SAS, R
• Predictive modelling, NLP and text analysis
• Machine learning
• Data mining
• UNIX, Linux, Solaris and MS Windows

COMPETENCIES
• Innovation - ability to initiate new and better ways of doing things, using appropriate methods to identify opportunities, devise and implement solutions and measure impact
• Teamwork - capacity to work co-operatively with others to achieve shared goals
• Drive and Results Orientation - self-starter and originator who maintains high levels of activity and produces a consistently high quality output within agreed deadlines. Prompt and proactive in driving for success and sets demanding goals for self
• Assertiveness- able to hold one's own in the face of opposition and exert influence calmly, firmly and fairly
• Influencing and Impact (incl. Negotiation) - capacity to create appropriate levels of impact by using verbal and non-verbal communication skills to influence and/or negotiate win-win agreements to proposals, plans or ideas
• Verbal and Written Communication - capacity to use appropriate presentation and facilitation techniques to engage an audience and help them to understand, retain and respond appropriately to the message

Qualifications/ Certification:
• Degree
• Preferred certifications (TOGAF, CDMP, DMBOK and UML Modelling)