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      Absa

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      Absa Lead Data Engineer reviews

      4.5

      91% would recommend to a friend

      (13 total reviews)
      avatar

      René van Wyk

      100% approve of CEO

      62% positive business outlook

      Ratings by category

      4.2

      Work/Life balance

      4.1

      Diversity & inclusion

      4.0

      Culture & values

      4.0

      Senior management

      3.9

      Compensation and benefits

      3.8

      Career opportunities

      Ratings by demographic groups

      Reviews by job title

      13 reviews
      5.0
      Dec 7, 2025

      Good

      Data scientist
      Recommend
      CEO approval
      Business Outlook

      Pros

      Opportunities and career growth are highly provided and happy

      Cons

      Not many cons as the company is growing and looking forward to improving always

      5.0
      Nov 10, 2025

      Excellent employer

      Data scientist
      Recommend
      CEO approval
      Business Outlook

      Pros

      1. Modern working arrangements, including remote work and flexible hours. 2. Competent and understanding management. 3. Endless training and development opportunities. 4. Relaxed yet professional working environment. 5. Mature tech stack and exposure to bleeding edge tools and techniques. 6. Best cafeteria in the industry, by far! 🥐

      Cons

      1. Slow career growth, but offset by good bonuses and decent annual salary increases. 2. Inconsistencies in culture across teams. 3. Competitors are better when it comes to core banking services and digitization. 4. Frequent leadership changes at the top levels mean that business structures and reporting lines get shuffled quite often.

      4.0
      Oct 29, 2025

      Great place to work at depending on what your flavour of data science is

      Data scientist
      Recommend
      CEO approval
      Business Outlook

      Pros

      Various teams treat data science differently; some take a more software development approach, using Git, unit tests, and Jira. Others take a more analytics-focused approach, dashboards, campaigns etc The former tend to use tools like Databricks and PySpark, while the latter lean more towards SAS and SQL.

      Cons

      This applies to all companies; it's usually not properly announced which style a team prefers until you've landed on the team. More efforts could be made to make things more transparent about things

      Viewing 1 - 3 of 13 Reviews
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