Data Engineer & Bi Analyst

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8el87u

h3Data Engineer BI Analyst /h3 pSalary : €101,000 - 123,000 yearly /p pAzienda : Stihlbr/Tipo Lavoro : Full Timebr/Italy /p h3Descrizione Lavoro - Data Engineer BI Analyst /h3 h3About Us /h3 pAs a family-owned company, it’s the people who continue to make STIHL a successful, world-class brand. Since revolutionizing the forestry industry in Germany with the first electric chainsaw in 1926, the STIHL name has remained synonymous with outstanding innovations, high-quality products and comprehensive service. /p pWith competitive compensation, excellent benefits and exciting growth potential, it is a great time to join the STIHL team! /p h3Why You’ll Love Working at STIHL: /h3 ul liExcellent health benefitsincluding Medical, Dental Vision Insurance /li liOnsite Health Wellness Centerfor employees and eligible family members /li liCompany-paid Life InsuranceandShort Long-Term Disability /li liRobust retirement offeringsincluding: ul liA fully vestedPension Plan after 5 years /li liA401(k)with generous employer match /li /ul /li liPaid time offin addition to 11 Paid Holidays /li liA strong culture ofstability, community, and innovation /li liCompensation: $101,000-$123,000 per year with premio opportunities and potential for annual merit increases. Actual compensation will depend on experience, qualifications, and internal equity /li /ul h3About You /h3 pYou are responsible for helping to build and maintain the infrastructure that powers critical business reporting, advanced analytics, and data-driven decision-making across the company.



This role requires someone who thrives in complex data environments, solves ambiguous problems with clarity, communicates effectively with both technical and non-technical stakeholders, is curious, resourceful, and eager to learn new tools and systems. /p h3Job Duties Responsibilities /h3 ul liDesign, build, and maintain reliable data pipelines using Databricks, Delta Live Tables, and Azure Data Factory. /li liStructure and manage Power BI semantic models using Tabular Editor and deployment pipelines. /li liDiagnose and resolve data issues spanning multiple systems, including ADF, Databricks, and Power BI. /li liApply strong debugging skills to identify root causes of data mismatches, pipeline failures, and performance issues. /li liCollaborate with stakeholders across business functions to clarify data needs and communicate technical concepts. /li liContribute to continuous improvement of our data infrastructure, identifying and implementing scalable solutions. /li /ul h3Specifications /h3 ul liBachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or related field preferred. /li li5+ years of experience in a data engineering, BI engineering,



or similar technical role. /li liHands-on experience building pipelines with Databricks and/or Azure Data Factory. /li liStrong proficiency with Python for data manipulation and transformation. /li liWorking knowledge of Power BI, including dataset design, relationships, and refresh behavior. /li liExperience working in Git-based workflows. /li liDemonstrated skill in debugging issues spanning ingestion, transformation, and reporting layers. /li liClear written and verbal communication skills, especially when explaining technical topics to non-technical stakeholders. /li liStrong collaboration skills — shares knowledge, coordinates effectively, and communicates blockers early. /li liProven ability to prioritize and problem-solve in ambiguous or high-pressure situations. /li liProactive approach to improving reliability, performance, or maintainability of existing systems. /li liExperience in AI, machine learning, or emerging data technologies — especially where they intersect with analytics and reporting. /li liDesigning and developing AI solutions using common industry cloud platforms such as Microsoft Azure, Databricks, AWS, or Fabric /li liKnowledge of Power BI Premium capacity and refresh management. /li liExposure to metadata-driven frameworks and config-based pipeline logic. /li liFamiliarity with Unity Catalog, Terraform, or other emerging Databricks tools. /li liExperience in automation, optimization, and reducing manual overhead in analytics systems. /li /ul #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8el87u