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Date Added: Thu 03/12/2020

Data Engineer

Durbanville, South Africa
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Job Type: Permanent

Salary: / monthly


A Specialist IT Service Provider in Durbanville seeks the technical expertise of a highly meticulous, analytical & solutions-driven Data Engineer to work across multiple teams, delivering business insights while improving and promoting exceptional data quality and use. You must possess a Degree in Statistics/Economics/Computer Science or other related field, have 2-4 years' work experience with SSIS/SSAS or ADF/AAS and be skilled with Cognos, Power BI, Tableau, Qlik, ETL, SQL, OLAP, Data Marts, Star Scheme, lambda/kappa, be able to gather requirements and formulate business metrics for reporting and have experience with development methodologies - Agile, Kanban or Scrum.


  • Collect, aggregate, and analyse data from multiple internal and external sources to drive insights into business performance.
  • Produce actionable reports that show key performance indicators, identify areas of improvement into current operations and display root cause analysis of problems.
  • Enhance data collection procedures to include information that is relevant for building analytic systems.
  • Communicate complex findings and insights to stakeholders and provide business strategy recommendations to optimize business performance.
  • Provide reporting solutions and respond to ad-hoc report requests as needed.
  • Educate and/or train business partners on operational use of reporting solutions.
  • Assist with segmenting, profiling, matching, de-duplication, and standardization of master data.


Qualifications -

  • A Degree in a quantitative field, i.e. Statistics, Economics, Mathematics, Computer Science, or another related field.

Experience/Skills -

  • 2-4 Years' work experience with SSIS/SSAS or ADF/AAS.
  • Working experience with reporting tools like Cognos, Power BI, Tableau, Qlik etc.
  • Intermediate to advanced SQL, optimization, developing ETL strategies.
  • Intermediate to advanced knowledge of database and data warehousing principles (e.g. OLAP, Data Marts, Star Schema, lambda/kappa architectures).
  • Gathering requirements and formulating business metrics for reporting.
  • Experience with agile or other development methodologies - Agile, Kanban or Scrum.
  • Able to conduct business systems analysis and prepare business requirement specifications concerning data-related business processes.

Advantageous -

  • Scripting languages, e.g. Python
  • Knowledge of event-based systems: e.g. Kafka, RabbitMQ etc.
  • Work experience with stream data pipeline frameworks or solutions, e.g. Apache Flink, Beam, Dataflow, Databricks etc.
  • Cloud data platforms.
  • Experience within the Automotive and/or manufacturing industry.


  • Self-starter with the ability to successfully plan, organise, and execute assigned initiatives with minimal guidance and direction.
  • Strong listening, problem-solving, and analytical skills.
  • Ability to articulate complex concepts, features, and benefits of analyses to any audience
  • Willing to take initiative.
  • Excellent written and verbal communication skills.
  • Exhibits close attention to detail and is a champion for accuracy.
  • High level of Integrity.
  • Proven ability to meet deadlines, ability to multi-task effectively.
  • Proactive, results-oriented, and can-do attitude extremely desirable.
  • The ability and willingness to do a variety of different tasks.

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