Data Engineering Intern - Graduate Program

As a Data Engineering Intern at Thndr, you'll help power the data backbone behind one of the MENA region's fastest-growing investment platforms. You'll work alongside our data team to build, maintain, and improve the pipelines and infrastructure that turn raw market, product, and user data into reliable insights. This is a hands-on opportunity to learn how data engineering operates at scale in fintech, contribute to real production systems, and see your work directly support millions of first-time investors.

• Build and maintain ETL/ELT pipelines that move data from a variety of sources (transactional databases, third-party APIs, market data feeds, event streams) into our data warehouse.

  
  

• Help design and optimize data models and database schemas, applying solid reasoning about indexing, query performance, and trade-offs between different storage and access patterns.

  
  

• Write efficient, well-structured code where choices around data structures and algorithmic complexity actually matter — many of our pipelines process large volumes of data where naïve solutions don't scale.

  
  

• Reason about concurrent and parallel data processing — understanding how jobs run, where race conditions or bottlenecks can appear, and how to design pipelines that are correct under load.

  
  

• Monitor data quality, investigate anomalies, and implement checks to catch issues before they reach downstream consumers.

  
  

• Collaborate with data analysts, data scientists, software engineers, and product managers to understand data needs and deliver solutions.

  
  

• Contribute to internal tooling and documentation that help the team move faster.

  
  

• Continuously learn — about fintech, investing, distributed data systems, and modern data engineering practices.

  
  

• Currently pursuing or recently graduated with a degree in Computer Science or Engineering.

  
  

• Strong foundation in algorithms and data structures — comfortable reasoning about time and space complexity, choosing the right data structure for the problem, and writing correct, efficient code. You should be able to confidently work with arrays, hash maps, trees, graphs, heaps, and standard algorithms (sorting, searching, traversal).

  
  

• Solid database fundamentals — you understand how relational databases actually work under the hood, not just how to write SELECT statements. This includes indexing and query planning, joins and their cost, transactions and ACID properties, isolation levels, normalization, and the basic trade-offs between OLTP and OLAP systems.

  
  

• Working knowledge of concurrency concepts — you can explain the difference between concurrency and parallelism, recognize race conditions and deadlocks, and reason about shared state, locks, atomicity, and basic synchronization primitives. You don't need to have built a high-throughput system, but you should understand why concurrency is hard.

  
  

• Working proficiency in Python (or a similar language) and SQL, plus comfort with Git.

  
  

• Curiosity, attention to detail, and the ability to break down ambiguous problems into structured solutions.

  
  

• Strong communication skills and the ability to work collaboratively in a fast-moving team.

  
  

• Exposure to distributed systems concepts — at least a conceptual grasp of why distributed systems are difficult and what trade-offs they involve. Familiarity with ideas like the CAP theorem, replication, partitioning/sharding, eventual consistency, leader election, or consensus is a strong plus, even at a textbook level.

  
  

• Familiarity with modern data tools such as Airflow, dbt, Spark, Kafka, or cloud data warehouses (Snowflake, BigQuery, Redshift).

  
  

• Exposure to cloud platforms (AWS, GCP, or Azure).

  
  

• Personal projects, coursework, or competitions involving data pipelines, analytics, or systems programming.

  
  

• Genuine interest in financial markets, investing, or fintech.

  
  

Thndr was founded on a bold dream to democratize access to investing through smart tech and human-centric design. This is simply our way of saying we give anyone with a smartphone the simple and easy access they need to preserve and grow their wealth. At the same time, we’re shaping the future of investing while actively driving the economies we serve by promoting local investment products.

History has shown that investing is the single greatest way to build long-term wealth, but before Thndr, only a very small percentage of people had access to it due to:

• High barriers to entry — In the form of excessive minimum account balances, complex, outdated onboarding, and low financial literacy.

  
  

• Irrelevant experience — Catered toward expert traders and financial specialists, therefore alienating the majority of the population.

  
  

• Fragmented offering — Investment products were not gathered in a single, intuitive outlet.

  
  

We don't just talk about change, we deliver it. Here's a glimpse into our impact so far:

• 5.5 million app downloads

  
  

• EGP 1B+ average daily traded value across 2025

  
  

• #1 digital investing platform in Egypt for the third consecutive year

  
  

• 76% of users are first-time investors

  
  

• 40% of our users come from outside of capital cities and have previously had limited access to financial institutions

  
  

Building on the success of our core platform, we are continuing to change culture and break down barriers by launching Rumble, the subscription-based investment recommendations platform.

Rumble was born with the vision to empower everyday individuals to build wealth confidently and intelligently through access to timely and in-depth advice from the industry’s top experts.

Going beyond traditional investment advice, it offers long and short-term investment recommendations and financial content through engaging articles and videos that guide users on their financial journey and maximize their returns.

At Thndr, we're looking for people driven by our mission to help us democratize investing across the MENA region.