Senior Data Engineer: Scalable Pipelines & Privacy

Infoplus Technologies UK Limited

Sweden

On-site

SEK 700,000 - 1,000,000

Full time

26 hours ago
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Job summary

Infoplus Technologies UK Limited is seeking a Data Engineer with 8+ years of experience to build and maintain data products and pipelines, focusing on data quality, reliability, privacy compliance, and high system uptime to support data-driven insights.

You will work on ETL/ELT pipelines across cloud platforms (Azure, AWS, or GCP), ensure data privacy, monitor performance, implement testing and validation, and collaborate with analytics, product, and engineering teams.

Qualifications

  • Ensure data quality, accuracy, and reliability across all data solutions.
  • Monitor pipeline performance and quickly resolve issues to minimize downtime.
  • Implement testing, validation, and monitoring processes to improve data quality.
  • Work with privacy, legal, and security teams to ensure data is handled according to regulations.
  • Collaborate with analytics, product, and engineering teams to deliver business-ready datasets.
  • Improve data pipelines through automation, scalability, and performance enhancements.
  • Maintain clear documentation of data flows, architectures, and privacy processes.

Responsibilities

  • Build and maintain data pipelines and products.
  • Ensure data quality, accuracy, and reliability across data solutions.
  • Monitor pipeline performance and resolve issues to minimize downtime.
  • Implement testing, validation, and monitoring to improve data quality.
  • Collaborate with privacy, legal, and security teams to ensure compliant data handling.
  • Work with analytics, product, and engineering teams to deliver business-ready datasets.

Skills

Data quality
Data reliability
Monitoring
Testing and validation
Privacy compliance
Collaboration
Automation
Documentation

Tools

Airflow
Databricks
Grafana
Kafka

Job description

Infoplus Technologies UK Limited is seeking a Data Engineer with 8+ years of experience to build and maintain data products and pipelines, focusing on data quality, reliability, privacy compliance, and high system uptime to support data-driven insights.

You will work on ETL/ELT pipelines across cloud platforms (Azure, AWS, or GCP), ensure data privacy, monitor performance, implement testing and validation, and collaborate with analytics, product, and engineering teams.

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