Senior data engineer

SCORIFY is a successfully growing company bringing cutting edge technologies based on big data analytics, artificial intelligence, and machine learning. Our solutions are being used by financial institutions, peer-to-peer lending platforms, telcos, and central banks. We are looking for a strong addition to the team who will join us in creating new AI models and services.

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Your responsibilities:

  • Data Pipeline Development:

    • Develop, test and maintain scalable data pipelines and workflows.
    • Implement and manage ETL/ELT processes to transform, aggregate and move data from various sources to data warehouses.
    • Ensure data integrity and quality through the data pipeline
  • CI/CD Pipelines:

    • Develop and maintain CI/CD pipelines for data workflows.
    • Automate data integration and deployment processes between environments.
  • Big Data Management:

    • Implement real-time data streaming solutions where necessary.
    • Optimize data processing for speed and efficiency.
  • Monitoring and Troubleshooting:

    • Continuously monitor data systems for performance and reliability.
    • Troubleshoot and resolve data-related issues.
    • Implement monitoring and alerting systems.
  • Refactor Existing Data Pipelines:

    • Assess and analyze existing data pipelines to identify inefficiencies, bottlenecks, and areas for improvement.
    • Update and modernize data workflows to leverage the latest technologies and best practices.
  • Collaboration:

    • Work closely with data scientist, analysts and business stakeholders.
    • Participate in project planning and management activities to ensure data engineering tasks are aligned with project timelines and goals.
    • Provide technical support and guidance to team members, helping them resolve data-related issues and challenges.

What we expect from you:

  • Technologies:
    • PostgreSQL, MSSQL
    • Data Warehousing
    • Apache Airflow or similar
    • Python
    • Git
    • Docker
    • Jira
  • At least 3 years of experience in Data Engineering.
  • Proven expertise in end-to-end data pipelines.
  • Proficiency in Python and SQL for data processing, scripting, automation and database management tasks.
  • Experience in designing and implementing ETL/ELT workflows.
  • Good self-management and ability to meet agreed sprint goals based on prioritization discussed with the delivery lead.

What you can expect from us:

  • Opportunity to showcase your expertise and fully own data-related processes.
  • Competitive salary and benefits package.
  • Opportunity to work with a talented and passionate team.
  • Professional development and growth opportunities.
  • A collaborative and innovative work environment.
  • The salary range for this position is € 4500 - € 6000 gross per month.

 

CV submission deadline is 12 of August.

Apply now

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