Data Analytics & Reporting Engineer

Technologies we use

About the project

Your responsibilities

• Own and manage end‑to‑end data loading processes - collect data from multiple internal and external sources, transform it, and ensure its accurate, automated and timely loading into the database.
• Ensure high data quality by implementing validation rules, monitoring, reconciliation checks, and automated quality controls at every stage of the pipeline.
• Design, develop and optimize ETL/ELT pipelines to support reliable, scalable and high‑performance data processing across systems.
• Build, maintain and enhance reports and analytical models in Power BI and/or Qlik Sense, following best practices in data modeling, DAX/M coding, visualization standards, governance and user experience.
• Develop and maintain data models, analytical layers and data flows that support business-critical reporting and analytics use cases.
• Identify and resolve issues related to data quality, data integrity, and system performance; implement preventive measures to avoid recurring problems.
• Write, optimize and maintain SQL and procedural database code for large and complex datasets.
• Integrate new data sources into the local data warehouse and continuously improve existing data structures (including OLAP cubes / SSAS where applicable).
• Collaborate with business teams on data exploration, preparation and visualization activities.
• Continuously enhance the performance, reliability and scalability of data systems and reporting environments.
• Maintain data security, compliance and availability in line with organizational data privacy and quality standards.

Our requirements

• Graduate Degree
• Minimum 3 years of experience in similar positions, e.g. in data engineering or analytics roles.
• Strong interpersonal skills (including influencing) with good collaborative attitude.
• Advanced SQL, Power BI and MS Office.
• Self-driven, goal-oriented, open to challenges, focused on continuous improvement.
• Fluent in English.

Optional

• Degree in IT, Data Engineering, Big Data, Economics, Statistics, Mathematics, Finance or a related field.
• Phyton, Qlik, SSIS .

What we offer

• Lunch card worth 450 zł per month;
• Laptop;
• Medical care ;
• Life Insurance;
• Retirement plan;
• Multisport or Kultura + card (co-financed by the employee);
• Additional 2 days off;
• Language learning platform.

Benefits

Compensation Structure & Criteria: