Senior Data Engineer (f/m/d)

About the Opportunity

Become part of the Ninetailed Team, pioneer of composable personalization and experimentation within the Contentful family.

At Ninetailed by Contentful, you will help revolutionize personalization & experimentation for leading businesses worldwide. As a Senior Data Engineer, you’ll play a key role in building and optimizing data pipelines that power our Insights product. Your work will enable our customers to derive impactful, data-driven insights through a robust and scalable data infrastructure.

What to expect? 

• Design and develop cloud-native data pipelines for event ingestion, transformation and storage, utilizing a variety of data processing frameworks. Ninetailed works with the Cloudflare Workers Platform and Google Cloud Platform including technologies like Pub/Sub, BigQuery, GCS, Cloud Run and Cloud Functions
• Implement statistical models and machine learning algorithms, transforming data science concepts into production-ready solutions that deliver customer value.
• Collaborate closely with your peers, and other teams to ensure efficient data flow and integration across the data stack.
• Develop and optimize data processes to handle high-volume datasets, ensuring data reliability and efficiency.
• Maintain compliance with data security and privacy standards, focusing on GDPR requirements.

What you need to be successful

• Proven experience in building data products that ingest and process billions of analytics events, delivering value to customers through insights and analytics.
• Strong expertise in building and optimizing data pipelines using cloud-native tools. Familiarity with the Google Cloud Platform data stack is a significant plus.
• Ability to design, implement, deploy, and operate statistical and machine learning models in production environments at scale.
• Understanding of statistical concepts used for A/B Testing, attribution and predictive analytics.
• Experience with libraries like Pandas, NumPy and frameworks such as PyMC, TensorFlow, PyTorch, Scikit-learn or others.
• Proficiency in Python for data workflows, data modeling, and statistical implementation, along with SQL for data querying. Familiarity with TypeScript is beneficial for working effectively with backend teams.
• Experience with writing and maintaining automated tests, using testing frameworks like Great Expectations, Soda Core, or GCP Dataform assertions, as well as Python testing tools like PyTest or unittest.
• Familiarity with Infrastructure as Code practices, ideally using tools like Terraform, to ensure a reproducible and scalable data environment.
• Proactive approach with a high sense of ownership.
• Great communication skills in English, especially when explaining complex technical concepts.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

#LI-Hybrid