Tiqets is one of the fastest-growing tech scale-ups in the Netherlands. To keep it moving fast and making culture more accessible, we’re hiring a Data Engineer to join us!
Full-time · Amsterdam
Who are we?
We’re revolutionising the way people buy tickets to culture and attractions all over the world. Our technology lets users easily book tickets to the best attractions in seconds, meaning customers can enter museums, zoos, theme parks, and more faster than ever.
We’re dedicated to bringing simplicity to the world of travel and entertainment. If you want to join our team, working as a Data Engineer, send us your CV. We might be looking for YOU!
Be accessible: Help out, communicate honestly, and be there for each other.
Be remarkable: Have fun, think creatively, and celebrate great moments together.
Skip the line: Be fast, flexible, and smart; take responsibility and push forward.
Life at Tiqets
What you will do
Tiqets is positioned for explosive growth in the post-pandemic world, and we're looking for Data Engineers to help us scale our Data Platform for the future. As a Data Engineer you will be involved in designing and building out much of the core Data Platform being used by the company. You will be working closely with Data Scientists, Analysts, Engineers as well as Product and Marketing teams to understand their needs and architect systems to solve these needs.
You’re a Data Engineer with a passion for architecting resilient and reliable data systems. You obsess over data quality and operational excellence, build clean and efficient Data Pipelines, and constantly look for ways to make systems better. 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.
Work closely with other Data Engineers on the team to architect, build and improve our Data Platform and analytics infrastructure
Design and implement fault-tolerant, resilient ELT/ETL pipelines using open source tools like Airflow or hosted AWS/SaaS services
Build monitoring tools to help meet our data quality/availability SLAs and ensure high-availability for our infrastructure
Ability to work independently without active supervision, and take full ownership of what you build
Support Data Scientists and Data Analysts on the team to productionize their workflows, while building tools and infrastructure to improve their speed and effectiveness
Bachelor or Master in Computer Science, or other relevant technical education.
2+ years experience working as an Engineer on data-intensive applications, architecting large-scale production systems
Substantial experience with Python and other scripting languages with a track record of writing clean, efficient code
Experience using core Data Engineering technologies like Airflow and DBT
Reasonable understanding of relational databases like PostgreSQL, as well as Data Warehousing technologies like Redshift, BigQuery, Snowflake, etc.
Sound understanding of SQL fundamentals and past experience with data warehousing, data modeling and schema design
DevOps mindset; experience deploying applications using technologies like Kubernetes and Docker on AWS
Nice to Have Experience
AWS services like Kinesis, Lambda, Glue, Athena
Business Intelligence tools like Looker, Tableau, Data Studio
Machine Learning technologies like AWS Sagemaker and MLflow
SaaS tools like Segment, Fivetran, Stitch, Snowplow
Experience with event pipelines and real-time streaming use cases
Experience in the e-commerce domain
Our Data Engineering Stack
Perks & Benefits at Tiqets
Young, dynamic, international working environment
Bright, welcoming office located in the centre of Amsterdam
Opportunity to make an impact in the fastest growing tech scaleup
20% personal Tiqets discount code to explore great museums/venues worldwide