Data Engineer

Infoplus Technologies UK Limited; Sweden; In loco; SEK 700.000 - 1.000.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Data quality

Data reliability

Monitoring

Testing and validation

Privacy compliance

Collaboration

Automation

Documentation

Strumenti

Airflow

Databricks

Grafana

Kafka

Descrizione del lavoro

We are searching a Data Engineer to build and maintain data products and pipeline. This role focuses on ensuring data quality, reliability, privacy compliance, and high system uptime to support data-driven insights and decision-making.

8 + years of experience as a Data Engineer, preferably working with large-scale or sensor-based data.

Strong skills in SQL and at least one programming language such as Python, Scala, or Java.

Experience building and managing ETL/ELT pipelines on cloud platforms such as Azure, AWS, or GCP.

Understanding data privacy principles and experience delivering compliant data solutions.

Strong focus on data quality, monitoring, and operational reliability.

Mandatory Skills:

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.

Nice to have:

Familiarity with data privacy and governance standards such as GDPR.

Experience with tools like Airflow, Databricks, or Grafana.

Knowledge of streaming technologies such as Kafka.