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Location: Cape Town | Work Type: Hybrid | Job ID: J107252 About our client: Our client is a global investment advisory firm focusing on long-term value creation through investment strategies. They work with a diverse group of institutional partners and pride themselves on their collaborative, sustainable, inclusive culture and performance. You are welcome to go into the office daily or to take advantage of their hybrid in-office / remote benefit. This company places significant investment in employee wellness, their benefits which are on top of generous basic salaries, are industry leading in their generosity. Our client is large, offering fantastic career development opportunities but also very dynamic, they track as many metrics as possible in order to continuously improve - they spare no expense on the tools to do so. Automation, AI and R&D are pillars of their business framework which ensures you should never be at risk of falling behind or getting stuck working with old legacy software. Culturally they are very cosmopolitan and diverse, you will be working with the best globally. What you will be doing: Utilise AI tools to create high-quality data solutions efficiently. Engage with business stakeholders to define requirements and align technical solutions with business needs. Take full ownership of deliverables while continuously challenging and elevating team data practices. Actively promote and adhere to modern, state-of-the-art data engineering practices. Maintain a collaborative mindset, focusing on shared learning and professional development with colleagues. What you need: Proficiency in SQL and Python (specifically for API-based integrations), along with expertise in data modelling and data management governance standards. A solid background in data engineering and experience building data solutions with AI is essential. Proficiency in data management, governance, and compliance standards. Strong ability to translate business needs into technical data requirements and clearly communicate solutions to stakeholders. For a more comprehensive list of opportunities that we have on offer, do visit our website - https://www.parvana.co.uk/careers Requirements Data Engineer, SQL, Python, API, Data Modelling, Governance, AI, Investment Advisory, Private Equity, dbt, Fivetran, Snowflake
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.