Postúlate en Kit Empleo: kitempleo.com.ar/empleo/melnp

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join an exclusive roster of talent that general leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.

We look for people who embody:

Innovation to solve the hardest problems.

‍Accountability for every result.

‍Integrity always.

Role overview

We are looking for a versatile data engineer to build and maintain the data pipelines that power our cloud and AI solutions. You will work with large-scale datasets to ensure they are processed, enriched, and made available for downstream applications. Your focus will be on reliability, scalability, and performance in a cloud-native environment.

As a Senior Data Engineer at Qodea, you’ll:

- Build and monitor batch and real-time data pipelines to ingest and process product and consumer data.
- Implement data transformations for deduplication, entity resolution, and feature engineering.
- Optimise pipeline performance and ensure high availability in GCP environments.
- Maintain metadata layers and embeddings for use in ML and personalisation services.




- Ensure data quality through rigorous validation rules and automated monitoring.
- Work closely with ML engineers to provide high-quality data for model training.

Things that will make you stand out:

- Strong experience with Python, Java, or Scala for data processing tasks.
- Skilled in using BigQuery, SQL, and dbt to manage large datasets.
- Comfortable working with a variety of data structures and formats.
- A meticulous approach to data lifecycle management and schema design.
- Experience with streaming technologies such as Pub/Sub or Kafka.

Nice to have:

- Familiarity with MLOps principles and model deployment.
- Experience in industries like fintech or e-commerce.

What we want from you:

We are building a world-class delivery centre in Buenos Aires and want the best engineering talent in the region. We believe the best work happens when we collaborate in person. We expect a genuine effort to be present in the office one to two days a week when not on project work to help build our culture and engage in spontaneous problem-solving. Your energy and presence will be vital in making our studio a hub of creativity and innovation.

Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

- 10 days PTO + 17 days paid public holidays
- Pension
- Law 19032 (Social Security)
- Family allowance
- National Employment Fund
- Accident Insurance
- Life Insurance
- Work from Home Allowance
- Private Medical Insurance
- Birthday leave
- 10 paid learning days per year
- Bonusly 100 points per month to recognise colleagues

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/melnp

📌 Senior Data Engineer - Argentina (Buenos Aires)
🏢 Importante grupo
📍 Buenos Aires