Senior Data Engineer

About the role

Join Truecaller – The place where innovation meets impact!

Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out:

- We are trusted by over 500 million active users every month across 190+ countries

- We identify over 15 billion calls daily, helping users avoid spam and scams

- We are powered by a team of 400+ employees from 45+ nationalities

We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in.

The role:

As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users.

What you'll do:

- Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs

- Provide support for all teams in building and optimizing their complex pipelines

- Work closely with other teams to identify pain points and problems around the platform

- Develop new tools and frameworks to improve the data platform

- Facilitate a company-wide, data-driven culture

- Work in close collaboration with data scientists and data analysts to help support their work going into production

- Work on large-scale projects such as building an ML platform and streaming use cases

- Set up best practices and processes around software and data development

What you bring in:

- Experience working with an orchestration tool (e.g., Airflow)

- Experience working with large data sets

- Experience building complex ETL pipelines

- Experience working with cloud providers such as GCP

- Strong programming skills in Spark with Scala and Python

- Experience working with CI/CD tools like Jenkins and Git

- Strong understanding of software engineering practices and principles

- Excellent problem-solving and communication skills

- Self-motivated with a proven ability to take initiative to own and solve problems as they come up

It would be great if you also have:

- Experience working with messaging systems like Kafka

- Knowledge of Kubernetes