Data Engineer
Data Engineer
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 values
We are remarkable: Have fun, be creative and celebrate great moments!
We are accessible: Communicate honestly and support each other
We are adaptable: Learn, adapt, and pivot. That's who we are!
Life at Tiqets
What you will do
As 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.
Responsibilities
Designing and implementing resilient and reliable data systems using tools like Airflow, dbt, Meltano, MLflow, and cloud services
Managing the orchestration service Airflow’s deployment and making sure the DAGs are running as expected
Developing and managing ELT processes to make the source data usable by teams in the expected freshness, schema, and quality
Facilitating the data transformation and modeling via dbt
Administering the data lakehouse Databricks with a Data Governance mindset
Designing and implementing data quality and alerting systems
Monitoring and improving the performance and efficiency of analytics systems
Assisting Data Scientists by providing an MLOps environment via MLflow and serving data apps via Streamlit
Minimum qualifications
Experience with Python and other scripting languages, with a track record of writing clean, efficient code
Demonstrable experience using core Data Engineering technologies like Airflow and dbt
Reasonable 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 design
Living in the Netherlands
Nice to Have Experience
1-3 years of experience in working as a Data Engineer in a comparable organisation
Serverless AWS services like Lambda, Kinesis, Data Firehose
DevOps mindset; experience managing applications using technologies like Terraform, Docker, and Kubernetes on the cloud
Business Intelligence tools like Looker, Tableau
Machine Learning technologies like AWS Sagemaker and MLflow
Hands-on Apache Spark experience
Experience with event analytics pipelines and real-time data streaming
Experience in the e-commerce domain
Perks & Benefits at Tiqets
Energetic, international work environment
Bright, welcoming office located in the centre of Amsterdam
Annual company getaway to undisclosed location
Mental health support through our partnership with OpenUp
Daily fresh lunch buffet provided by Join Programs
Sports activities: free gym, running sessions, boot-camp, football, climbing and more
Fun, sociable company events in and out of the office
20% employee discount code to explore great museums/venues worldwide
Pension contribution and travel compensation