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Skroutz S.A

Business Intelligence Engineer - Skroutz Last Mile (BIE1026)

  • Office
  • 6+ years

Salary

€30,800 - 42,000/ year

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Description

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
  • 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

Where you’d work

From the office

About the company

Skroutz S.A

  • Industry: Logistics

Office in Athens, Greece

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 18 checks run
  • 1 red flag

Still hiring?

12 checks

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6 checks

1 red flag

Fits Me

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • LLMs
Type
Full-time
Industry
Logistics
Specialty
BI
Region
Europe
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
BI
Experience
6+ years
Tech stack
  • Python
  • SQL
  • LLMs

Location

Work model
Office
Region
Europe
Office
  • Athens, Greece

Compensation

Salary
€30,800 - 42,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Logistics

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