Data Engineer in Bucuresti

AWS (nice to have) Kafka (nice to have) ETL tools (regular) Snowflake (regular) Airflow (regular) SQL (advanced) Python (advanced) Kitopi is the world’s leading tech-powered multi-brand restaurant. With a mission to satisfy the world’s appetite, Kitopi operates a portfolio of both invested and franchised F&B brands, serving as enablers in the food market by helping brands to grow and scale, both in the delivery and dine-in space. We are a unicorn startup operating globally with roots in Dubai, but the Tech Talent Team is right there in Poland, Kraków. We reached 100 employees and we're growing! As a leading food-tech business, Kitopi’s growth has been largely fueled by its innovative and scalable software solutions. Kitopi’s kitchens are powered by its proprietary Smart Kitchen Operating System (SKOS) - an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center stage as Kitopi continues to reinvent the food industry as we know it today. At Kitopi, we collaborate closely with business and product stakeholders to facilitate data-driven decision-making. Our data organization is structured around data verticals that focus on specific business domains, as well as data horizontals that specialize in different practices. Data engineering is one of these practices, and as a data engineer, you will work alongside other data engineers and cross-functional teams, including analysts, ML engineers, BI specialists, data modelers, platform engineers, and backend engineers. Apply if you have: Bachelor's or Master's degree in Engineering, Computer Science, Technology, or similar.2+ years of hands-on experience developing production quality code in data engineering at high growth consumer product company or similarProfessional experience using Python and SQL for data processingDemonstrably deep understanding of SQL and analytical data warehouses (Snowflake preferred), and hands-on experience implementing ETL (or ELT) best practices at scaleHands-on experience with data pipeline tools (Airflow, Airbyte, dbt)Strong data modeling skills and familiarity with the Kimball methodology Knowledge about testing methods, automatizations, and good practices within Data WarehouseDesire to continually keep up with advancements in data engineering practices, and the ability to catch bugs and style issues in code reviewsCapability to work independently, think critically, solve problems, manage stakeholder relationsEffective presentation skills, A good team player approach with inclusiveness and constructive thinking At Kitopi, we value alignment with our mission and principles. We are looking for someone who will share these values and be keen on working in accordance with them. Technologies we use: Data Warehouse / Big Data: Snowflake, ADL, and Postgres Reporting: Looker and Power BI Data Pipelines: Kafka, Python, SQL, Airflow, Airbyte, and DBTML Ops: Amazon SageMaker Platform: AWS Repository: GitHub Analysis: SQL, Python, and Excel Presentation: Power BI, Google Sheets, and Google Slides Documentation: Confluence Sprints and Backlog: Jira Perks & Benefits:ESOP - Employee Stock Option Plan You choose a form of employment (26 paid days off on B2B)Additional paid days off for volunteer activitiesTop-notch equipment: high-end MacBook Pro + additional accessoriesSupport for your development:2 000 PLN growth annual budget available to every employee internal initiatives: webinars/workshops, knowledge-sharing sessions internal conferences (Kitopi Academy)mentoring program Freedom Day - time for things you are passionate aboutfree English classes with a native speakerWorksmile benefit platform (private medical healthcare, Multisport card, vouchers, etc.) Life insurance Mental health support - free access to online sessions with a professional therapistWellbeing program - tailored to the needs of our employees including physical & mental health, and socializing activities Referral bonus Flextime and flexplace: adjust your daily schedule to your individual needsGreat office with fruit & snacks, rented football pitch, social budget for every team & awaydays, and more! What does the recruitment process look like? 1️⃣ HR interview with a People Team representative 2️⃣ Manager's interview (ca.45 min) 3️⃣ Technical interview (ca. 90 min) 4️⃣ Bar Raiser interview (30 min culture match)