Senior Data Engineer – Real-Time ML Pipelines

Truecaller; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive compensation package

30 days paid vacation

Private health insurance

Parental leave top-up

Pension

Lab Days

Job summary

Truecaller is seeking a Senior Data Engineer to own data pipelines powering our Recommendations and adVantage teams. You will build feature pipelines, streaming ingestion, and real-time feature serving for retrieval, ranking, and contextual-bandit models used by hundreds of millions of users.

The role combines hands-on platform engineering with production ML readiness, collaborating with data scientists to ensure data quality, freshness, and lineage for scalable ML systems.

Qualifications

• Strong programming in Python and Spark; experience building complex ETL/ELT pipelines.
• Hands-on with an orchestration tool such as Airflow and production ML/analytics workloads.
• Experience with large datasets on major cloud providers (GCP preferred; AWS/Azure also fine).
• Solid software engineering fundamentals: testing, CI/CD with Git and Jenkins, maintainable code.
• Comfort collaborating with data scientists and ML engineers; production ML data requirements from data—features, freshness, lineage.

Responsibilities

• Build and own feature and training-data pipelines behind retrieval, ranking, and contextual-bandit models.
• Design streaming pipelines to close loop between serving and learning; capture impressions, clicks, conversions in near real time.
• Maintain a real-time feature store for consistency between offline training and online inference.
• Own ad-event and attribution data backbone for delivery, billing, and third‑party partners.
• Collaborate with data scientists to move models from notebook to production; manage data contracts and SLAs.
• Create reusable, config-driven frameworks for onboarding new models and campaigns.
• Keep the platform reliable at scale with monitoring and data quality checks.

Skills

Python

Spark

Airflow

GCP

AWS

Azure

Kubernetes

CI/CD

Git

BigQuery

Redshift

Kafka

Flink

Spark Structured Streaming

Feast

Vertex AI

Tecton

Tools

Jenkins

Git

Airflow

BigQuery

Job description

Truecaller is seeking a Senior Data Engineer to own data pipelines powering our Recommendations and adVantage teams. You will build feature pipelines, streaming ingestion, and real-time feature serving for retrieval, ranking, and contextual-bandit models used by hundreds of millions of users.

The role combines hands-on platform engineering with production ML readiness, collaborating with data scientists to ensure data quality, freshness, and lineage for scalable ML systems.