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Open nowFirst seen 17 hours ago

Data Engineer

AiR56 open roles

Where
Cape Town, Western Cape, South Africa
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Your applicationOpen nowData EngineerAiR · Cape Town, Western Cape, South Africa

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AiR's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

15.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.4%1 day
  2. 6.5%3 days
  3. 15.1%7 days
This job: first seen 17 hours ago

The posting

Role Overview

Help us build the backbone of financial data integration, processing critical market data for investment decisions. You'll lead complex data pipeline delivery and mentor a growing engineering team.

What We're Looking For

- 8-10 years in enterprise data engineering

- Proven experience leading complex data integration projects

- Expertise in Python, Java, or JavaScript for data pipelines

- Strong skills in ETL/ELT, orchestration, and hybrid cloud (AWS)

- Deep understanding of financial data domains and regulatory needs

What You'll Do

- Design and implement scalable data pipelines for market and investment data

- Solve advanced data engineering challenges and optimize performance

- Mentor junior engineers and uphold engineering best practices

- Collaborate with stakeholders to translate requirements into technical solutions

Why You'll Love It

- **Lead impactful projects** in a regulated financial environment

- Grow your career towards Lead Data Engineer or Architect

- Work with a talented team on cutting-edge data challenges

- Competitive compensation and benefits package

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  1. A CV for this posting

    Written against AiR's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on AiR's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    AiR's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

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