Data Engineer

Quick Facts

• Role: Data Engineer

• Location: Warsaw (hybrid; 2 days/week in office)

• Budget: up to 155 PLN/h + VAT (depends on experience and scope)

Description

Design, develop, and maintain ETL processes and reporting/analytics solutions for products and services based on a financial services ecosystem. Support data streaming, database infrastructure optimization, forecasting/monitoring, and sales funnel analytics while ensuring data quality and building reporting/analytical tools. Create documentation for analysis, ETL processes, and reporting solutions.

Responsibilities

• Design, develop, and maintain ETL processes using technologies such as Elasticsearch, Kubernetes, microservices, and data streaming

• Develop and optimize database infrastructure

• Prepare reports, analyses, and presentations for offerings based on financial services

• Forecast and monitor key indicators

• Design, build, and optimize sales funnels

• Analyze large datasets and recommend process improvements for the client

• Ensure data quality and develop reporting/analytics tools

• Create documentation for analyses, ETL processes, and reporting solutions

Requirements

• Very strong SQL knowledge

• Experience designing, building, and maintaining ETL processes

• Practical knowledge of data visualization tools (Power BI, Tableau, or Qlik Sense)

• Knowledge of NoSQL databases and solutions such as Elasticsearch

• Ability to work with XML and JSON files and analyze text logs

• Practical knowledge of Microsoft Power Query in Excel or Power BI

• Programming in at least one high-level language (Python preferred)

• Knowledge of data segmentation and predictive models

• Practical knowledge of Windows and Linux, including scripting for both

• Experience with Jira and Confluence

Benefits

• Opportunity to work on diverse Software, Embedded, Data, and Cloud Services projects

• Access to additional pre-sales and expert initiatives

• Medical care, sports card, and cafeteria platform benefits according to applicable collaboration rules