PBT Group Careers

Be part of our team of Data Specialists and embark on a career of the future!

Job Title
Data Engineer
Employment Type
Full Time
9 to 26 years
Job Published
21 December 2021
Job Reference No.

Job Description

We are currently recruiting for a BI Technical Lead to join the PBT Team. The role requires an IT specialist with advanced analytical and technical skills who will be responsible to lead a Data Warehouse Centre of Excellence team and be able to establish new technology components and reusable solution patterns that can be leveraged by business-facing development teams in their day-to-day solutions. You are regarded as a data warehouse specialist with advanced analytical and technical skills who understands data modeling, data engineering, data visualisations and analytical models.

You should be able to communicate technical information to technical teams, as well as be competent in communicating challenges and solutions to project and operational leadership. An understanding of data management solutions and a keen sense of the strategic value of information to an organisation will be of importance. You will also be responsible for developing data pipelines, data models, monitoring programme/ job performance, designing data warehousing blueprints, evaluating hardware and software platforms, and integrating systems; translating business needs into long-term architecture solutions.

About you:

  • Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field / National Diploma in an Information Technology related discipline preferred
  • 5+ years experience in application and data engineering background with a solid background in SQL is required
  • Data architecture design and delivery experience preferred

Knowledge and Experience:

  • Experience in data engineering background with a solid background in data warehousing environments
  • Experience in database management system (DBMS) physical implementation, including tables, joins and SQL querying.
  • A solid background in Data Warehousing using SQL and ETL procedures is required, with a strong grounding in data modeling using either Kimball or Data Vault methodologies
  • Experience in Hadoop Distributed File System, and experience in Spark, Oozie and NiFi are highly advantageous.
  • Experience in data warehouse automation and the development of data pipelines using ETL tools (e.g. SAP Data Services), automation (e.g. Wherescape), scheduling and test automation (e.g. Robot) is desirable
  • Experience of structured data, such as entities, classes, hierarchies, relationships and metadata.
  • Experience in agile development
  • Ability to comply to and manage data assets under a strict governance framework
  • Strong Data Engineering background with a specific focus on staging high-quality data
  • Data Management technologies (e.g. Informatica Data Quality (IDQ), Informatica Enterprise Data Catalog (EDC), Axon, EBX) are preferred
  • Data architecture design and delivery experience preferred
  • Data pipeline development experience in BI is recommended. Experience in Wherescape advantageous