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About Us As 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. With competitive compensation, excellent benefits and exciting growth potential, it is a great time to join the STIHL team! Why You’ll Love Working at STIHL: Excellent health benefits including Medical, Dental & Vision Insurance Onsite Health & Wellness Center for employees and eligible family members Company-paid Life Insurance and Short & Long-Term Disability Robust retirement offerings including: A fully vested Pension Plan after 5 years A 401(k) with generous employer match Paid time off in addition to 11 Paid Holidays A strong culture of stability, community, and innovation Compensation: $101,000-$123,000 per year with bonus opportunities and potential for annual merit increases. Actual compensation will depend on experience, qualifications, and internal equity About You You 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. Job Duties & Responsibilities Design, build, and maintain reliable data pipelines using Databricks, Delta Live Tables, and Azure Data Factory. Structure and manage Power BI semantic models using Tabular Editor and deployment pipelines. Diagnose and resolve data issues spanning multiple systems, including ADF, Databricks, and Power BI. Apply strong debugging skills to identify root causes of data mismatches, pipeline failures, and performance issues. Collaborate with stakeholders across business functions to clarify data needs and communicate technical concepts. Contribute to continuous improvement of our data infrastructure, identifying and implementing scalable solutions. Specifications Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or related field preferred. 5+ years of experience in a data engineering, BI engineering, or similar technical role. Hands-on experience building pipelines with Databricks and/or Azure Data Factory. Strong proficiency with Python for data manipulation and transformation. Working knowledge of Power BI, including dataset design, relationships, and refresh behavior. Experience working in Git-based workflows. Demonstrated skill in debugging issues spanning ingestion, transformation, and reporting layers. Clear written and verbal communication skills, especially when explaining technical topics to non-technical stakeholders. Strong collaboration skills — shares knowledge, coordinates effectively, and communicates blockers early. Proven ability to prioritize and problem-solve in ambiguous or high-pressure situations. Proactive approach to improving reliability, performance, or maintainability of existing systems. Experience in AI, machine learning, or emerging data technologies — especially where they intersect with analytics and reporting. Designing and developing AI solutions using common industry cloud platforms such as Microsoft Azure, Databricks, AWS, or Fabric Knowledge of Power BI Premium capacity and refresh management. Exposure to metadata-driven frameworks and config-based pipeline logic. Familiarity with Unity Catalog, Terraform, or other emerging Databricks tools. Experience in automation, optimization, and reducing manual overhead in analytics systems.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.