BI Data Engineer

Project overview

For our client, we are currently looking for a BI Data Engineer (m/f/d) with the following tasks:

Responsibilities

· Conception, development, and maintenance of BI dashboards and reporting solutions for trading activities, risk management, P&L performance (profit and loss statement), and operational key figures.

· Development and optimization of reports, for example, on monthly P&L analyses, mark-to-market valuations, key figures along the trading process, inventory management, logistics performance, as well as risk exposures and risk limits.

· Integration and consolidation of data from trading platforms, market data providers, ERP systems, and data warehouses to ensure uniform and reliable reporting.

· Conception and maintenance of data models and ETL processes to enable scalable analyses and efficient data provision.

· Automation of manual reporting activities, optimization of workflows, and continuous improvement of data quality and reporting accuracy.

· Monitoring of relevant market indicators, identification of trends, and assessment of their potential impact on trading performance and business results.

· Close collaboration with business units to translate business requirements into analytical solutions, reports, and meaningful data visualizations.

Technological Knowledge:

· Demonstrable experience in Business Intelligence, Analytics, and Reporting, particularly in the development of dashboards and data visualizations.

· Very good knowledge in the definition and design of KPIs, performance analyses, and in preparing complex data into concrete recommendations for action.

· Profound knowledge in data modeling, data warehousing, ETL processes, and data quality management.

· Very good SQL skills and experience in handling large amounts of data in relational database environments.

· Very good knowledge of Microsoft Fabric and BI tools such as Power BI, QlikView, or comparable platforms.

· Experience with Python and/or Spark for data analysis, automation, and reporting.

· Knowledge of cloud-based data and analytics platforms, preferably Microsoft Azure and/or AWS.

· Strong analytical skills, problem-solving competence, and stakeholder management competence, as well as the ability to translate business requirements into scalable analytical solutions.

· Ability to collaborate effectively with traders, risk managers, operational teams, and other business units in a dynamic trading environment.

· Fluent German and English skills are required. Spanish skills are an advantage.

Organizational:

· Location: Hamburg

· Start: 01.01.2027

· End: 12 months

· Option for extension: Yes

· Utilization: 5 days a week

Project details

• Start: flexible
• Location: Hamburg, DE
• Languages: German, English, Spanish