Data Engineer

Hej, Truecaller is calling you from Stockholm, Sweden! Ready to pick up?


Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter.
Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 400 million active users per month.
Founded in 2009 with an impressive year-on-year growth with high profitability, listed on Nasdaq OMX Stockholm, Large Cap.
Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins.
A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon, and Tel Aviv with high ambitions.

As a Data Engineer, you will play an important role in t which is responsible for building and maintaining a scalable, robust, self-service analytics platform.
What do we expect from you:
Experience working with 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 initiative to own the problems that come up and solve them

What will you work on
Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in 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
Facilitate company-wide to be data-driven
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
Setup best practices and processes around software and data development

It would be great if you also have
Working with messaging systems like Kafka
Knowledge in Kubernetes
Hands-on experience with any streaming platform
Experience managing data warehouse in BigQuery or Redshift

Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/
Sounds like your dream job?
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.
This position is based in Stockholm, Sweden.
We only accept applications in English.
What we offer:
A smart, talented, and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing, and fun environment.
A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave top-up, pension contribution, Udemy membership to keep learning and improving, and free gym membership.
Great tech tools: Pick the computer and phone you most fancy within our budget ranges.
Do it your way: We work in the office on Tuesdays, Wednesdays, and Thursdays with flexibility on the other days.
Office life: Enjoy your days with a wide range of yummy snacks and beverages, and have fun in our playroom! As well as in our exciting company parties and team activities such as Lab days, Running team, and Geek lunch!

Come as you are:
Truecaller is diverse, equal, and inclusive. We need a variety of backgrounds, perspectives, beliefs, and experiences to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you.