Senior/Medior Data Engineer

In this role you will help shape the performance and architecture of our modern data stack, working with tools like Python, Kafka and Kubernetes to build scalable, high-impact data solutions in close collaboration with our Data Science and Engineering teams.

About XITE

It’s our mission to share our passion for music videos with the world and invite people to experience music beyond listening: to see your music.

XITE is dedicated to building the best music video experience in the world. Based in Amsterdam, XITE now reaches 100 million households across North America and Europe through linear networks, interactive TV apps and on-demand streaming services. The company revolutionized the way audiences experience music videos by allowing viewers to search, like and skip through its entire catalogue, enjoy playlists curated by its team of music experts and create their own playlist based on a genre, decade, style or mood using its unique Mixer feature. XITE has a full music video catalogue through agreements with all major and top independent music labels and distributors, and works to expand this offering every day.

About the role

We are looking for a passionate Senior/Medior Data Engineer to join our team. You and your team will be responsible for the overall performance and architecture of our Data Stack, as well as software and service development within the data domain. Our stack includes Python, Scala, Kafka, Airflow, ClickHouse, Docker, Bazel, Kubernetes, GCP, GitHub, CircleCI, Superset and many other, mostly open-source, technologies. You will work closely with Data Science, Data Analytics, Backend Engineering, and other technical teams within XITE.

Responsibilities 

• Design, develop, deploy, scale and maintain ETLs, AirFlow data pipelines and data services in production.

• Resolve problems, with end-to-end ownership of data quality in our core datasets and data pipelines.

• Design data models, tables, data structures, improve on data storage architecture and queries performance across various business domains within the company.

• Assist colleagues across technical challenges.

• Review, maintain, refactor and extend distributed systems in production. Support other teams for usage and integration with those systems.

• Maintain the technical excellence of the data and software engineering practice.

• Work with the Product Manager and other stakeholders, taking part in forming, prioritizing and executing data engineering backlog.

Job requirements 

• 3+ years of professional experience as a Data Engineer, Software Engineer, or similar role working with large-scale data systems and infrastructure.

• Bachelor’s degree in Software Engineering, Computer Science, or relevant field, or equivalent practical experience.

• Proficiency in Python and/or Scala with strong software engineering skills.

• Experience designing, building, and optimizing large-scale data pipelines in distributed environments using tools such as Kafka, ClickHouse, Elastic, Cassandra, Spark, etc.

• Deep understanding of data architecture principles, including replication, sharding, consistency, scaling (horizontal and vertical), quorum, and idempotency.

• Proven ability to improve pipeline performance, cost-efficiency, and usability.

• Experience mentoring team members and leading technical projects is a plus.

• Basic knowledge of analytics and machine learning concepts is a plus.

• Excellent analytical, communication skills, and fluent in English (both spoken and written).

Our tech stack

• Python, Scala.

• AirFlow, Kafka, ClickHouse, GCP.

• Bazel, Docker, Kubernetes.

• Github, CircleCI, ArgoCD, Ansible, Superset, and many other, mostly open source, technologies.

• SQL, NoSQL and DBMS/OLAP.

Our hiring process

1. Apply: Apply for the role, and we will contact you.

2. HR Interview: One of our recruiters will contact you, because we like to find out more about you. During this interview you can ask all your questions about the company.

3. Technical interview. In this interview our Director of Engineering and our Data Engineer want to get to know you a bit better and in this interview you will dive deeper into the role and talk about your engineering skills and technical knowledge.

4. Final interview with one of our MT members: in this final interview you will meet one of our MT members responsible for the Data Engineering team.

5. Reference check: We ask you for 2 references that we can give a call and ask a few questions as a part of our hiring process.

6. Offer: Hopefully with our offer, we can welcome you to the team of XITE!

Working at XITE

Here at XITE we make sure you’re taken care of by providing you the opportunity to develop your career in a young, fast growing and international company. We provide a challenging work environment where you have a lot of autonomy and flexible working hours. All XITE’ers are different and authentic in their own way, but we all have kindness in common, as well as professionalism and an optimistic attitude. Let’s not forget - we have a passion for good music and good food. That’s why we have chef prepared lunches, Friday afternoon drinks and parties! Click here to see our benefits.

Does this sound like you?

Click ‘Apply’ to apply directly!