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Data Engineering Intern - Rewards Platform and Data Analysis

Head office Sofia - Retail Banking

Sofia, valid to
General duties
  • Learn the real-time core
    • Help build and test Python pipelines that read events from Kafka and apply campaign rules such as customer eligibility, reward caps and frequency limits.
    • Work with the progress store and points ledger in PostgreSQL: write queries, check data and help prepare changes.
    • Learn how to make rewards correct by design: idempotent processing, traceability back to the transaction, and handling of reversals and refunds.
  • Help keep the numbers right
    • Support reconciliation checks against our golden source, the transaction tables in DWH / Databricks.
    • Build and maintain dbt models and Airflow jobs for daily eligibility, aggregates and history under the guidance of senior engineers.
    • Help monitor pipelines for latency, errors and lost events, and take part in investigating incidents.
  • Support campaign launches
    • Help turn new campaigns into configuration and extend the library of reward mechanics – capped cashback, monthly challenges, boosted partner cashback.
    • Help connect new data sources and keep the engagement and reward catalogs up to date.
  • Support the business
    • Prepare datasets for Power BI reports on campaign performance, complaints and partner invoicing.
    • Write tests and documentation for the pipelines and configurations you work on.
    • Share ideas – in a new team, good suggestions from interns are welcome.


Requirements
  • A student in the final years of a Bachelor's or Master's degree, or a recent graduate, in Computer Science, Informatics, Mathematics, Engineering or a related field.
  • Good knowledge of SQL: joins, aggregations, window functions.
  • Basic Python: you have written scripts or projects for your studies or on your own.
  • Basic Git.
  • Interest in data engineering and a wish to learn how production data systems work.
  • Good English, written and spoken.
  • Curiosity and initiative: you ask questions and are not afraid of tasks you have not done before.
  • Nice to have
  • PostgreSQL or another relational database.
  • Any exposure to Apache Kafka, Databricks / Apache Spark, dbt or Apache Airflow – from courses, pet projects or hackathons.
  • Experience with Linux and the command line.
  • Power BI or another BI tool.
  • Interest in banking, fintech or loyalty programs.


DSK Bank offers
  • Real work, not coffee runs. Work on a real rewards engine built from scratch, not a sandbox project.
  • Mentoring and growth. Mentoring from senior data engineers, code reviews and a clear learning path.
  • A modern data stack. Hands-on experience with Python, Kafka, PostgreSQL, Databricks, dbt, Airflow and Power BI.
  • Paid internship for a period of up to 6 months and hourly employment from 6 hours
  • Additional health insurance
  • Food vouchers
  • Flexible working time
  • Promo price for Multisport card
  • Numerous discounts with external vendors


Documents for application

CV

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