SSRS – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sat, 21 Sep 2024 02:30:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png SSRS – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Data Engineer | ETL, Data Warehouse, SSIS, SSAS, SSRS, MS Power BI https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-engineer-etl-data-warehouse-ssis-ssas-ssrs-ms-power-bi/ Sat, 21 Sep 2024 02:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-engineer-etl-data-warehouse-ssis-ssas-ssrs-ms-power-bi/ Data Engineer | ETL, Data Warehouse, SSIS, SSAS, SSRS, MS Power BI

Job Description:

    We are seeking a highly skilled Data Engineer with expertise in ETL processes, data warehousing, and various Microsoft technologies including SSIS, SSAS, and SSRS. The ideal candidate will play a pivotal role in designing, implementing, and maintaining robust data pipelines and data models that support our business analytics and reporting needs. You will collaborate closely with data analysts and business stakeholders to understand data requirements and ensure data integrity, availability, and security. This position demands strong analytical skills and a passion for tackling complex data challenges in a dynamic environment.

IT Languages:

  • SQL
  • Python
  • DAX

As a Data Engineer, your primary responsibilities will include the following::

    Develop and maintain ETL processes to ensure data quality and accuracy;; Design and implement data warehousing solutions that meet business needs;; Create and manage reports and dashboards using MS Power BI;; Collaborate with cross-functional teams to gather data requirements and deliver insights;; Monitor and optimize data storage and processing performance

Spoken Languages:

  • English;; German

Skillset:

  • ETL
  • Data Warehousing
  • SSIS
  • SSAS
  • SSRS
  • MS Power BI
  • SQL
  • Python

Soft Skills:

  • Analytical thinking
  • Problem-solving
  • Attention to detail
  • Effective communication
  • Team collaboration

Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field
  • Strong understanding of data modeling concepts and principles
  • Experience with ETL tools and processes

Years of Experience:

    5

Location:

    Donauwörth, Bavaria, Germany, EU

Job Benefits:

  • Health insurance
  • Flexible working hours
  • Professional development opportunities
  • Paid time off
  • Retirement savings plan

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • Our company fosters a collaborative and innovative environment where employees are encouraged to share ideas and contribute to projects that drive success. We value diversity and inclusion, and we strive to create a workplace that supports professional growth and work-life balance.

Opportunities For Advancement:

  • Leadership training programs, Mentorship opportunities, Career advancement into senior engineering roles

Visa Sponsorship:

    Available
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