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At Skroutz Last Mile , data plays a central role in how we scale operations, improve customer experience and drive strategic decisions. As we continue to grow and evolve our delivery network, we are investing in the platforms, tools and people that enable smarter, faster and more impactful decision making across the organization. We are looking for a BI Engineer to join our Strategy & BI team. This role combines data engineering and business analytics, requiring someone who is as comfortable building data pipelines and models as they are translating data into actionable business insights. We expect you to understand the business processes behind the data and use that understanding to develop solutions that drive meaningful decisions across the organization. You will design, build and maintain data products, pipelines and reporting solutions that support forecasting, planning, financial reporting and strategic decision-making. You will also contribute to the evolution of our data platform, improve the scalability of our analytics ecosystem and help shape next-generation analytics, automation and AI-powered workflows. What you will be doing Design, build and maintain reliable data pipelines and workflows Develop and optimize SQL models, datasets and reporting layers Build and maintain dashboards and reporting solutions Contribute to the development of a scalable data warehouse architecture Maintain and enhance forecasting, planning and finance reporting solutions Collaborate with business stakeholders to understand requirements and translate them into scalable data solutions Analyze operational and business performance data to identify trends, opportunities and risks Design and build AI-powered data products, automation and agentic workflows to improve business processes and decision making. Requirements 3–6 years of experience in a BI, data engineering or analytics engineering role Strong SQL skills and experience working with complex, large-scale datasets Solid Python knowledge for data processing and automation Experience building and maintaining data pipelines Experience with Git and collaborative development workflows Experience applying machine learning techniques (e.g. regression, classification or forecasting) to business problems Familiarity with data warehousing concepts Strong analytical thinking and ability to translate business problems into data solutions Clear communicator — comfortable presenting technical work to non-technical stakeholders Nice to have Experience in logistics, supply chain or operations analytics Background in forecasting, planning or financial reporting systems Experience with statistics, predictive analytics or machine learning Familiarity with LLMs, AI agents or workflow automation tools Experience building internal tools or self-service analytics solutions Benefits What's it like to work at Skroutz Last Mile Competitive full-time salary Working with top-notch and fun people Career Development Opportunities Culture of unity Private Medical Plan Access to vast technological features Extra paid time off Opportunities to grow with us Free Skroutz Plus subscription Our Values Maintain a user-centric approach and a desire to amaze Own it Be results driven See cars, not horses Set big goals, take small steps and act now Embrace humility, honesty and helpfulness and assume good intentions Have fun
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.