Joblaze summary

In the role of Data Engineer at Truecaller, the individual will focus on enhancing the data infrastructure by maintaining and optimizing ingestion pipelines that handle billions of events daily. Key skills include proficiency in Spark with Scala and Python, experience with orchestration tools like Airflow, and familiarity with cloud platforms such as GCP or AWS. This position is ideal for someone with over three years of data engineering experience who thrives in a collaborative environment and is eager to tackle complex challenges. Truecaller fosters a culture of innovation, encouraging team members to explore new ideas through initiatives like 'Lab Days'.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Truecaller's careers page October 27, 2026.

Quick facts

Is the Data Engineer role remote?: It's hybrid — Truecaller expects some on-site time in Stockholm, Sweden.
How much experience is required?: At least 3 years of relevant experience for this Data Engineer role.
Where is the role based?: Truecaller is hiring for this position in Stockholm, Sweden.
What's the tech stack?: Joblaze extracted these technologies from the posting: Airflow, BigQuery, Git, Jenkins, Kafka, Kubernetes.
What seniority level is this role?: Truecaller targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Data Engineer role at Truecaller.

From the original posting

The role:

As a Data Engineer, you will play an important role in the Data infrastructure team, which is responsible for building and maintaining a scalable, robust, self-service analytics platform.

What you'll do:

Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in a defined SLA
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
Work in close collaboration with data scientists and data analysts to help support their work in production
Work with vast 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:

3+ years of experience in data engineering
Experience working with an orchestration tool (ex, Airflow)
Experience working with a large data set
Experience building complex ETL pipelines
Experience working with cloud providers such as GCP, AWS, or Azure
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 and have a proven ability to take the initiative to own the problems that come up and solve them

Working with messaging systems like Kafka
Knowledge of Kubernetes
Hands-on experience with any streaming platform
Experience managing a data warehouse in BigQuery or Redshift

Come as you are:

Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you.

Sounds like a great opportunity?

We only accept applications in English.

Standard company text repeated across Truecaller's postings is omitted here.

Data Engineer

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