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
