Sr. Data Engineer (m/f/d)

<ul> <li>Translating Business Needs: You’ll work closely with stakeholders to understand business requirements and translate them into technical specifications for BI solutions</li> <li>Designing and Building BI Solutions: You’ll design, build, and deploy BI solutions, including reporting tools, dashboards, and visualizations</li> <li>Maintaining Data Analytics Platforms: You’ll be responsible for supporting and maintaining data analytics platforms (e.g., MicroStrategy, Power BI, Tableau, AZURE)</li> <li>Crafting Queries and Data Retrieval: You’ll execute queries upon request to retrieve relevant data for analysis in AZURE</li> <li>Creating Databases: BI Developers create and manage databases to store data efficiently</li> <li>Data Analysis and Visualization: You’ll develop visualizations, reports, and dashboards to present insights effectively</li> <li>Collaborating with Teams: BI Developers work closely with business analysts, data scientists, data engineers, and other IT professionals</li> <li>Troubleshooting and Improving BI Systems: Ensuring the accuracy and efficiency of data-driven solutions is essential</li> </ul> <strong><span>Qualifications</span></strong> <ul> <li>Degree in Computer Science/IT, or related with 12 years’ experience as BI developer with Power BI and Azure, Teradata, hadoop</li> <li>Full life-cycle implementation experience: Requirements gathering, conception &amp; design, development, implementation, deployment and driving user adoption</li> <li>Strong Knowledge of BI Tools: Familiarity with BI tools such as Power BI, Tableau, Qlik, etc.</li> <li>Database Management Skills: Expertise in database management systems (DBMS) and a strong command of SQL</li> <li>ETL Experience: Understanding of ETL (Extract, Transform, Load) processes and tools. Azure skills is a must have</li> <li>Analytical Abilities: Excellent analytical and problem-solving skills. Prior knowledge in reporting is needed</li> <li>Automation Skills: Experience with automation tools and processes</li> <li>Data Warehouse Knowledge: Understanding of data warehouse architecture</li> <li>Data Formatting: Ability to format and structure data effectively</li> <li>Scripting Languages: Familiarity with scripting languages (e.g., Python) is a must have</li> <li>Strong organizational, communication and time/project management skills</li> </ul>