Data Engineer

Sinch is a company that pioneers the way the world communicates.
Malmö, Sweden
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS

Description For Data Engineer

We are seeking a highly skilled Mediation Data Engineer to design, develop, and maintain data processing systems that collect, transform, and deliver usage data for billing and analytics platforms. In this role, you will focus on building robust data mediation pipelines that process large volumes of transactional data, ensuring accurate and real-time integration into billing systems. You will collaborate with teams across product, engineering, and finance to ensure smooth data flow, data quality, and compliance with industry standards.

Responsibilities:

  • Data Mediation Development: Design and implement mediation systems to collect, transform, and process raw usage data into standardized formats for billing and analytics platforms.
  • ETL Pipeline Creation: Build and maintain efficient ETL processes to process high volumes of usage data, ensuring data accuracy, consistency, and readiness for billing calculations.
  • Real-Time Event Processing: Develop and manage near real-time data pipelines using tools such as Kafka, Flink, or Spark Streaming, ensuring minimal latency between data ingestion and processing.
  • Data Transformation: Implement data transformation rules to normalize and enrich data from multiple sources, preparing it for accurate billing, invoicing, and reporting.
  • Automation and Efficiency: Automate mediation processes, minimizing manual intervention and improving the efficiency of data flows. Utilize orchestration tools like Apache Airflow or NiFi to manage workflows.
  • Data Integrity and Quality: Ensure data quality by implementing checks, monitoring systems, and error-handling mechanisms to prevent inconsistencies, duplicates, or data loss.
  • Collaboration with Stakeholders: Work closely with billing, product, and engineering teams to understand data requirements and ensure that mediation pipelines align with business needs.
  • Compliance and Governance: Ensure that all mediation processes adhere to data governance, security, and regulatory requirements, particularly in relation to billing data.

At Sinch, we embrace diversity and work to create an inclusive workplace where everyone can thrive. We are committed to following a recruitment process that is fair, objective, consistent, and non-discriminatory. We use pre-employment assessment to create an inclusive application experience to help foster diverse and high-performing teams.

Last updated a month ago

Responsibilities For Data Engineer

  • Design and implement mediation systems to collect, transform, and process raw usage data
  • Build and maintain efficient ETL processes to process high volumes of usage data
  • Develop and manage near real-time data pipelines using tools such as Kafka, Flink, or Spark Streaming
  • Implement data transformation rules to normalize and enrich data from multiple sources
  • Automate mediation processes and utilize orchestration tools like Apache Airflow or NiFi
  • Ensure data quality by implementing checks, monitoring systems, and error-handling mechanisms
  • Work closely with billing, product, and engineering teams to understand data requirements
  • Ensure that all mediation processes adhere to data governance, security, and regulatory requirements

Requirements For Data Engineer

Kafka
Python
Java
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 3+ years of experience in building and maintaining mediation systems or data processing pipelines in a billing or transaction-heavy environment
  • Hands-on experience with ETL tools (e.g., Apache NiFi, Airflow) and strong understanding of data transformation and enrichment processes
  • Proficiency in event-driven processing technologies such as Apache Kafka, Flink, or Spark Streaming
  • Strong programming skills in Python, Scala, or Java for developing data pipelines and processing logic
  • Experience with cloud platforms such as AWS, GCP, or Azure for building scalable mediation systems (e.g., S3, Lambda, Glue)
  • Proficiency in SQL and experience with both relational and NoSQL databases for managing and querying large datasets
  • Strong analytical and problem-solving skills, with a focus on data accuracy and integrity
  • Effective communication skills for collaborating with cross-functional teams, including technical and non-technical stakeholders
  • Self-motivated, detail-oriented, and able to prioritize tasks in a fast-paced environment
  • Strong organizational skills and ability to manage multiple mediation pipelines simultaneously

Benefits For Data Engineer

  • Inclusive workplace environment
  • Fair and non-discriminatory recruitment process
  • Opportunity for career growth and development

Interested in this job?

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