Senior Data Engineer
Truecaller is hiring a Senior Data Engineer in Stockholm, Sweden. Level rates it ; you can apply on Truecaller.
Level's read on this job
- On Level's scale, this data engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Level classes it as a senior role.
- Truecaller has 32 other open roles on Level.
AI in this 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
- 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.
Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/
Sounds like a great opportunity?
We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check.
We only accept applications in English.
How we rate this
Senior Data Engineer at Truecaller rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new data engineer jobs (Works on AI ●●●○ or higher) by email
One email a week with the new data engineer jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step