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We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm. At Strawberry, we don’t just run hotels, we’re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all. We’re looking for an experienced Data Engineer to join our central Tech BI team. You’ll sit right at the heart of our tech transformation, building scalable datasets and data models that power business decisions, digital products and AI solutions. If you’re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home. Our Tech Stack Data Warehouse: Snowflake Transformation & Governance: dbt Orchestration: Apache Airflow Cloud & DevOps: Cloud Platforms (Azure / AWS / GCP), Git, CI/CD Languages: SQL, Python You won't just be maintaining pipelines, As part of our central Tech BI team, you’ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products. Working with our modern data stack, you’ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions. You’ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products. As we continue investing in AI, you’ll help build trusted data foundations that enable analytics, automation and future AI solutions. What You’ll Do Core Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform. Partner with Data Product Teams: Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights. Own the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling. Build Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems. Drive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products. Code & Automate: Use Python to build data pipelines, automate workflows and integrate source systems. Ensure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse. What You Bring Proven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture. Core Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow. Programming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations. Cloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI/CD/Git practices. Business & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems. Collaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door. Education: BSc/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience). What’s In It For You? Real Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built. Growth & Learning: Space and resources to level up your skills in modern data stack practices and AI. Unbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe. Vibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins. Hybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home. (Please note: This role is based in our Stockholm office. Candidates must be local or ready to relocate to Stockholm, as we do not offer fully remote setups.) Ready to build something iconic? Don't just wait, we review applications continuously and are eager to meet you! Apply today.
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.
