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Aqilea (formerly Soltia)

Senior Data Engineer

Aqilea (formerly Soltia) Sweden

IT Services and IT Consulting · 51-200 employees

7 h ago
data-engineer Senior (5-10 yrs) Contractor Sweden
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About the role

You will design and build scalable data pipelines and infrastructure to support Smart SMS features like fraud detection and spam intelligence. Additionally, you will collaborate with data scientists and analysts to optimize platform performance and facilitate a data-driven culture.

What they look for

Data Engineering Airflow Spark Scala Python ETL Pipelines GCP CI/CD Jenkins Git Software Engineering Kafka Kubernetes BigQuery Redshift

Requirements

Candidates must have strong programming skills in Spark with Scala and Python, along with experience in orchestration tools like Airflow and cloud platforms such as GCP. Proficiency in building complex ETL pipelines and a solid understanding of software engineering principles are required.

Full description

Role: Senior Data Engineer Job Ref Id: JD-1129 Client: Truecaller Competence level: 3 Start date: 2026-09-01 End date: 2027-03-01 Extension option: Yes Scope: 100% Location: Stockholm Remote work: Hybrid Language: English Application deadline: asap Number of consultants: 1 Security clearance: No

 

About the assignment

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.

 

Responsibilities

  • 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

 

Requirements

Mandatory

  • 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

Nice-to-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

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