About us

Founded in 2015 in Athens, Greece, Welcome redefines the way people travel by going above and beyond the commoditized transfer service and being the first company to deliver a complete, personalised, in-destination travel experience. From the moment a traveler arrives at a new destination, until their return journey home, Welcome accommodates all their travel needs, including transfers, sightseeing trips, and local information, in the easiest, friendliest, and most personalised way possible. Welcome's drivers are experts in the area and share their local know-how to make travellers feel at home wherever they are. The company has also introduced contactless rides, thorough cleaning protocols, and protective equipment to make every journey safe.

Being a travel tech startup, Welcome continues to grow and scale its operations and is quickly becoming a global category leader for in-destination travel services.

• One of the highest-rated global transportation companies with a rating of 4.9/5 stars.
• Expanded from 200 destinations last year to 350, achieving our ambitious 2024 growth target.
• Over 4,000 travel partners including 2,500 hotels, numerous vacation rentals, and travel agents, adding 50+ new ones every month.
• Over 2.5 million happy travellers every year.

⭐️ If you want to dive deeper into the awesomeness of Welcome's culture, click on this link to check our TikTok account.⭐️

The Team

We are a group of vibrant, diverse people who love travelling and never settle on quality. Each one of us didn’t join Welcome by chance and believes deeply in what Welcome is trying to achieve, so we work relentlessly to make that happen. We challenge common logic, focus on design, put simplicity and usability first, and create memorable experiences. We keep learning and exploring better ways to serve our community and grow personally and professionally in our respective fields. We stay humble along the way, with a “pay it forward” mentality, but with big and bold goals.

As an Analytics Engineer, you will sit at the intersection of data engineering and analytics, specializing in Operations, you will be the bridge between raw data and impactful business insights.

You will own the transformation layer of our data stack, designing scalable, reliable, and well-documented data models that empower analysts, data scientists, and business stakeholders to make better decisions, faster.

Responsibilities

• Model and transform data from raw sources into clean, documented, and tested datasets using tools like dbt or Dataform.
• Build and maintain a semantic layer of KPIs and business logic in close collaboration with analysts and stakeholders.
• Develop and manage data pipelines to support reporting, experimentation, and advanced analytics across the business.
• Collaborate cross-functionally with Analysts, Product Managers, Engineers, and Executives to ensure data needs are met.
• Maintain documentation and data lineage to ensure knowledge is preserved and accessible.
  Monitor data quality and implement testing frameworks to ensure trustworthy data across the organization.
• Contribute to data governance efforts, including ownership models, naming conventions, and metric standardization.

Requirements

• 3–5+ years of experience as an Analytics Engineer or Data Engineer in a modern data stack environment.
• Proficiency in SQL and a strong understanding of data modeling principles (dimensional modeling, star/snowflake schemas).
• Experience with dbt, BigQuery (or similar cloud data warehouses), and version control systems like Git.
• Ability to write clean, modular, testable code and define data contracts between teams.
• Comfort working in cross-functional settings and translating business needs into data solutions.
• Strong attention to detail, commitment to quality, and desire to build tools that scale.

Good to have

• Familiarity with BI tools (e.g., Power BI, Looker, Metabase, Tableau) and building datasets for consumption.
• Very good understanding of analytics engineering best practices (e.g., staging/mart layers, testing, CI/CD for data).
• Basic knowledge of Python or scripting for data automation.
• Experience working in high-growth or startup environments.

Benefits

• Vibrant and fresh work environment
• Flexible work-from-home policy
• The tools you need to perform your daily tasks successfully
• L&D personal budget
• Private Insurance Plan
• +4 extra PTO days annually
• The unique opportunity to join “the next big thing” at ground level