Data Engineer

Events by L; Stockholms kommun, Nyköpings kommun; On-site; SEK 750,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary

30 days vacation

Private health insurance

Parental leave top-up

Pension and wellness contributions

Lab Days offsite innovation

Job summary

Truecaller in Sweden is hiring a Data Engineer to join the Data infrastructure team and help build a scalable, self-service analytics platform. You will own ingestion pipelines and work with data scientists to productionize models.

The role emphasizes collaboration, problem-solving, and delivering robust data solutions across cloud environments and streaming use cases.

Qualifications

• 3+ years of experience in data engineering.
• Experience with orchestration tools (e.g., Airflow).
• Experience with large data sets and ETL pipelines.
• Experience with cloud providers (GCP, AWS, or Azure).
• Strong programming skills in Spark with Scala and Python.
• Experience with CI/CD tools like Jenkins and Git.
• Solid software engineering practices and problem solving.

Responsibilities

• Maintain and improve ingestion pipelines delivering billions of events daily.
• Support teams in building and optimizing complex pipelines.
• Collaborate with other teams to identify platform pain points.
• Develop new tools and frameworks to improve the data platform.
• Work with data scientists to support production workloads.
• Contribute to ML platform development and streaming use cases.
• Set up best practices around software and data development.

Skills

Data engineering

Airflow

ETL pipelines

Cloud platforms

Spark/Scala

Python

CI/CD

Software engineering practices

Problem solving

initiative

Tools

Jenkins

Git

BigQuery

Redshift

Kafka

Kubernetes

Job description

Overview

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.

• 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

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.

Responsibilities

• 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

Qualifications

• 3+ years of experience in data engineering
• Experience working with an orchestration tool (e.g., 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 with a proven ability to take initiative and own problems

Nice to have

• 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

• A comprehensive compensation package: 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, to work comfortably and efficiently.
• A people-focused office culture: Office-first model with in-person collaboration, vibrant offices, and opportunities to learn, connect, and recharge.
• Lab Days: Five times per year for 3 days to explore bold ideas and build prototypes that may become features used by millions.