Tiqets is one of the fastest-growing tech scale-ups in the Netherlands. To keep it moving fast, we’re hiring a Data Engineer to join us!Who are we?We are revolutionizing the way people buy tickets to unforgettable experiences at the best destinations all over the world. Our technology makes planning easy for thousands of travelers to find all the experiences they don't want to miss during their trip (museums, zoos, theme parks, and more), so they can book all their tickets in one place.We are an international company committed to making culture accessible to our customers and our employees. We embed diversity, equity, and inclusion into our company fiber organically. These values are promoted from the inside out and we strive to represent and honor differences in gender, race, religion, and sexual orientation in our company culture, our content, and our product.Our valuesWe are remarkable: Have fun, be creative and celebrate great moments!We are accessible: Communicate honestly and support each otherWe are adaptable: Learn, adapt, and pivot. That's who we are!What you will doAs a Data Engineer, you will be responsible for managing, maintaining, and improving our Data Analytics Platform. You will be working closely with Data Analysts, Analytics Engineers, Data Scientists, and Software Engineers to understand and meet their needs.You’re a Data Engineer with a passion for creating well-architected data systems. You obsess over data quality and operational excellence, build clean, efficient data pipelines, and constantly look for ways to improve systems. You see the value in being a data-driven organization. You’re curious about new technologies, both open-source and SaaS. You like to work in a fast-paced environment and iterate quickly while continuing to build for the medium and long term.ResponsibilitiesDesigning and implementing resilient and reliable data systems using tools like Airflow, dbt, Meltano, MLflow, and cloud servicesManaging the orchestration service Airflow’s deployment and making sure the DAGs are running as expectedDeveloping and managing ELT processes to make the source data usable by teams in the expected freshness, schema, and qualityFacilitating the data transformation and modeling via dbtAdministering the data lakehouse Databricks with a Data Governance mindsetDesigning and implementing data quality and alerting systemsMonitoring and improving the performance and efficiency of analytics systemsAssisting Data Scientists by providing an MLOps environment via MLflow and serving data apps via StreamlitMinimum qualificationsExperience with Python and other scripting languages, with a track record of writing clean, efficient codeDemonstrable experience using core Data Engineering technologies like Airflow and dbtReasonable understanding of relational databases like PostgreSQL, as well as modern data warehouses like Databricks, Redshift, BigQuery, Snowflake, etc.Knowledge of SQL and experience with data warehousing, data modeling, and schema designDevOps mindset; experience managing applications using technologies like Terraform, Docker, and Kubernetes on the cloudLiving in the NetherlandsNice to Have 2+ years of experience in working as a Data Engineer in a comparable organisationServerless AWS services like Lambda, Kinesis, and Data FirehoseBusiness Intelligence tools like Looker, TableauMachine Learning technologies like AWS Sagemaker and MLflowHands-on Apache Spark experienceExperience with event analytics pipelines and real-time data streamingExperience in the e-commerce domainGet in touch!Please send your application via the form for this vacancy. We can’t wait to hear from you!Are you representing an agency? Thank you for your interest in our job offer. However, we are handling the recruitment process internally and do not require external assistance at this time.