Senior Data Engineer — Scale Data Pipelines & ML Platforms

Events by L; Nyköpings kommun, Stockholms kommun; Hybrid; SEK 900,000 - 1,500,000; Full time

Benefits offered by this job

30 days vacation

Private health insurance

Pension

Wellness contributions

Job summary

Truecaller in Sweden is seeking a Senior Data Engineer to design and build scalable data pipelines powering SMS features, fraud detection, and AI-driven capabilities. You will partner 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, collaborate across teams to optimize workflows, and contribute to building an ML platform and

Qualifications

• Experience building and maintaining large-scale data pipelines and warehouses.
• Proficient in Spark with Scala and Python for data processing.
• Hands-on with cloud platforms (GCP) and data warehousing (BigQuery/Redshift).
• Familiar with CI/CD tools (Jenkins, Git) and data tooling.
• Strong collaboration with data scientists and product teams.

Responsibilities

• Maintain and optimize ingestion pipelines to handle billions of events daily.
• Support collaboration across teams to build and optimize data workflows.
• Partner with data scientists to productionize ML features and datasets.
• Develop tools and best practices for the data platform and platform-wide governance.
• Drive a data-driven culture across the company.

Skills

Airflow

Large data sets

ETL pipelines

GCP

Spark

Scala/Python

CI/CD

problem solving

initiative

Tools

Airflow

GCP

Kafka

Kubernetes

BigQuery/Redshift

Jenkins

Git

Job description

Truecaller in Sweden is seeking a Senior Data Engineer to design and build scalable data pipelines powering SMS features, fraud detection, and AI-driven capabilities. You will partner 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, collaborate across teams to optimize workflows, and contribute to building an ML platform and