About this role
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 workflowsDevelop and optimize SQL models, datasets and reporting layersBuild and maintain dashboards and reporting solutionsContribute to the development of a scalable data warehouse architectureMaintain and enhance forecasting, planning and finance reporting solutionsCollaborate with business stakeholders to understand requirements and translate them into scalable data solutionsAnalyze operational and business performance data to identify trends, opportunities and risksDesign 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 roleStrong SQL skills and experience working with complex, large-scale datasetsSolid Python knowledge for data processing and automationExperience building and maintaining data pipelinesExperience with Git and collaborative development workflowsExperience applying machine learning techniques (e.g. regression, classification or forecasting) to business problemsFamiliarity with data warehousing concepts Strong analytical thinking and ability to translate business problems into data solutionsClear communicator — comfortable presenting technical work to non-technical stakeholders
Nice to have
Experience in logistics, supply chain or operations analyticsBackground in forecasting, planning or financial reporting systemsExperience with statistics, predictive analytics or machine learningFamiliarity with LLMs, AI agents or workflow automation toolsExperience building internal tools or self-service analytics solutionsBenefits
What's it like to work at Skroutz Last Mile
Competitive full-time salary (€30,800-€42,000 gross annually)Working with top-notch and fun peopleCareer Development OpportunitiesCulture of unityPrivate Medical PlanAccess to vast technological featuresExtra paid time offOpportunities to grow with usFree Skroutz Plus subscriptionOur Values
Maintain a user-centric approach and a desire to amazeOwn itBe results drivenSee cars, not horsesSet big goals, take small steps and act nowEmbrace humility, honesty and helpfulness and assume good intentionsHave fun
Disclaimer:
Skroutz collects and processes personal data in accordance with the EU General Data Protection Regulation (GDPR). We are bound to use the information provided within your job application for recruitment purposes only and not to share these with any unauthorized third parties. Furthermore, please be informed that we may utilize Artificial Intelligence (AI) systems and automated tools to assist in the initial screening and ranking of applications. Despite the use of such technology, all final hiring decisions involve human oversight. You have the right to request an explanation regarding the role of AI in your evaluation or to request a manual review of your application by our team. Please read our Recruitment Privacy Policy here.