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 (€30,800-€42,000 gross annually)
- 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
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.