{"data":{"id":166013,"slug":"data-engineer-36","type":"job","title":"Data Engineer","description":"We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel\u00ae, warm Quality Hotel\u2122, stylish Clarion Hotel\u00ae 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.\nAt 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.\nWe'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.\nIf 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.\nOur Tech Stack\n\nData Warehouse: Snowflake\n\n\nTransformation & Governance: dbt\n\n\nOrchestration: Apache Airflow\n\n\nCloud & DevOps: Cloud Platforms (Azure \/ AWS \/ GCP), Git, CI\/CD\n\n\nLanguages: SQL, Python\n\n\nYou 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.\nWorking with our modern data stack, you'll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.\nYou'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.\nWhat You'll Do\n\nCore Platform Ownership: Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.\n\n\nPartner 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.\n\n\nOwn the Data Lifecycle: Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.\n\n\nBuild Robust ELT Workflows: Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.\n\n\nDrive AI & Innovation: Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.\n\n\nCode & Automate: Use Python to build data pipelines, automate workflows and integrate source systems.\n\n\nEnsure Quality & Documentation: Ensure data assets are monitored, documented and easy for others to understand and reuse.\n\n\nWhat You Bring\n\nProven Track Record: 5+ years of hands-on experience in Data Engineering, BI, or Data Architecture.\n\n\nCore Tech Expertise: Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.\n\n\nProgramming & Automation: Solid Python scripting skills for data manipulation, workflow automation, and integrations.\n\n\nCloud & Platform Mindset: Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI\/CD\/Git practices.\n\n\nBusiness & Product Alignment: Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.\n\n\nCollaboration & Communication: Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.\n\n\nEducation: BSc\/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).\n\n\nWhat's In It For You?\n\nReal Impact: High visibility, strong autonomy, and a flat culture where your ideas actually get built.\n\n\nGrowth & Learning: Space and resources to level up your skills in modern data stack practices and AI.\n\n\nUnbeatable Perks: Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.\n\n\nVibrant Culture: A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.\n\n\nHybrid Flexibility: Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.\n\n\n(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.)\nReady to build something iconic?\nDon't just wait, we review applications continuously and are eager to meet you! Apply today.","language":"sv","is_translated":true,"title_original":"Data Engineer","description_original":"We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel\u00ae, warm Quality Hotel\u2122, stylish Clarion Hotel\u00ae 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.\nAt\u00a0Strawberry, we don\u2019t just run hotels, we\u2019re building a universe of experiences. We are rewriting the hospitality playbook through tech and innovation, and data is the engine powering it all.\nWe\u2019re looking for an experienced Data Engineer to join our central Tech BI team. You\u2019ll sit right at the heart of our tech transformation, building scalable datasets and data models that\u00a0power business decisions, digital products and AI solutions.\nIf you\u2019re excited about the modern data stack, obsessed with clean architecture, and eager to leverage AI to push the boundaries of traditional BI, Welcome Home.\nOur Tech Stack\n\nData Warehouse:\u00a0Snowflake\n\n\nTransformation & Governance:\u00a0dbt\n\n\nOrchestration:\u00a0Apache Airflow\n\n\nCloud & DevOps:\u00a0Cloud Platforms (Azure \/ AWS \/ GCP), Git, CI\/CD\n\n\nLanguages:\u00a0SQL, Python\n\n\nYou won't just be maintaining pipelines,\u00a0As part of our central Tech BI team, you\u2019ll build and evolve the shared data platform while enabling Data Product Teams across the business to deliver trusted, high-quality data products.\nWorking with our modern data stack, you\u2019ll transform raw, complex data into scalable data models that power business decisions, digital products and AI solutions.\nYou\u2019ll work at the intersection of our central data platform and our Data Product Teams, enabling reliable data foundations while supporting business-specific data products.\u00a0As we continue investing in AI, you\u2019ll help build trusted data foundations that enable analytics, automation and future AI solutions.\nWhat You\u2019ll Do\n\nCore Platform Ownership:\u00a0Build, maintain, and optimize the core datasets, transformations and pipelines that power our enterprise data platform.\n\n\nPartner with Data Product Teams:\u00a0Work closely with cross-functional Data Product teams aligned directly with the business to deliver tailored datasets, analytics solutions, and actionable insights.\n\n\nOwn the Data Lifecycle:\u00a0Design and implement scalable data models in Snowflake, leveraging dbt for transformations, testing, documentation and version controlling.\n\n\nBuild Robust ELT Workflows:\u00a0Develop, orchestrate, and optimize reliable data pipelines using Airflow to seamlessly integrate diverse source systems.\n\n\nDrive AI & Innovation:\u00a0Partner with engineering and product teams to build trusted data foundations that enable advanced analytics, AI solutions and new data products.\n\n\nCode & Automate:\u00a0Use Python to build data pipelines, automate workflows and integrate source systems.\n\n\nEnsure Quality & Documentation:\u00a0Ensure data assets are monitored, documented and easy for others to understand and reuse.\n\n\nWhat You Bring\n\nProven Track Record:\u00a05+ years of hands-on experience in Data Engineering, BI, or Data Architecture.\n\n\nCore Tech Expertise:\u00a0Strong proficiency in SQL, deep experience with Snowflake, and hands-on expertise with dbt and Airflow.\n\n\nProgramming & Automation:\u00a0Solid Python scripting skills for data manipulation, workflow automation, and integrations.\n\n\nCloud & Platform Mindset:\u00a0Good understanding of cloud environments (Azure, AWS, or GCP) and modern CI\/CD\/Git practices.\n\n\nBusiness & Product Alignment:\u00a0Experience or interest in collaborating directly with product teams and business stakeholders to solve real-world problems.\n\n\nCollaboration & Communication:\u00a0Humble, curious, and collaborative. You communicate clearly in English, ask great questions, and leave your ego at the door.\n\n\nEducation:\u00a0BSc\/BA in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).\n\n\nWhat\u2019s In It For You?\n\nReal Impact:\u00a0High visibility, strong autonomy, and a flat culture where your ideas actually get built.\n\n\nGrowth & Learning:\u00a0Space and resources to level up your skills in modern data stack practices and AI.\n\n\nUnbeatable Perks:\u00a0Deep discounts on hotel stays, dining, and experiences for you, your friends, and your family across the Strawberry universe.\n\n\nVibrant Culture:\u00a0A fun, passionate team with regular social events, team activities, and a passion for celebrating wins.\n\n\nHybrid Flexibility:\u00a0Enjoy a balanced work model with 3 days of high-energy collaboration at our sleek Stockholm HQ and 2 days working from home.\n\n\n(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.)\nReady to build something iconic?\nDon't just wait, we review applications continuously and are eager to meet you!\u00a0Apply today.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"Strawberry Arena","full_address":null,"city":"Stockholm","country":"SE","latitude":59.329323,"longitude":18.06858},"metadata":{"region":"Stockholms l\u00e4n","duration":"Tills vidare","employer":"Strawberry Services AB","postcode":"16956","positions":1,"profession":"Dataingenj\u00f6r","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"Mati-ur-Rehman Khan","employment_type":"full_time","occupation_field":"Yrken med teknisk inriktning","employer_workplace":"Headquarter Stockholm - Strawberry","experience_required":true,"employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":1,"ai_vendor_counts":{"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":"+46702542488","owner_email":"mati-ur-rehman.khan@strawberry.se","images":[],"published_at":"2026-08-21T10:32:13+00:00","expires_at":"2026-09-26T23:59:59+00:00","created_at":"2026-08-22T03:19:16+00:00","updated_at":"2026-08-23T02:43:05+00:00"}}