Senior Data Engineer

True Software Scandinavia AB; Stockholms kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Lab Days

Competitive compensation package

Office culture and flexible work

Job summary

Truecaller is seeking a Senior Data Engineer to design and build scalable data pipelines powering Smart SMS features, fraud detection, and spam intelligence. You will collaborate with data scientists, analysts, and product teams to deliver robust datasets for product insights and decision-making for millions of daily users.

You will maintain ingestion pipelines handling billions of events daily, develop new data tools, and help establish a data-driven culture across the company with close

Qualifications

• Experience designing and building large-scale data pipelines.
• Strong programming skills in Spark, Python, and Scala.
• Proven ability to work with data scientists and product teams.

Responsibilities

• Maintain and improve ingestion pipelines handling billions of events daily.
• Collaborate with data scientists and analysts to enable ML features and analytics.
• Develop tools and frameworks to enhance the data platform and promote data-driven culture.
• Lead data infrastructure projects including an ML platform and streaming use cases.

Skills

Spark

Python

Scala

Data modeling

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

GCP

BigQuery/Redshift

Jenkins

Kubernetes

Kafka

Job description

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 450 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 450+ 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
• Hands‑on experience with any streaming platform
• Experience managing a data warehouse in BigQuery or Redshift

What we offer:

We support growth through learning resources, leadership programs, mentoring, and real hands‑on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:

• A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top‑up, pension, and wellness contributions.
• Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently.
• A people‑focused office culture: We value in‑person collaboration and follow an office‑first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well‑stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There’s something for everyone.
• Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future.

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.

We only accept applications in English.