Senior Data Engineer (f/m/d)

Contentful is the intelligent composable content platform that unlocks all of an organization's digital content to deliver impactful customer experiences, making content a strategic business asset.
Data
Senior Software Engineer
Hybrid
501 - 1,000 Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Engineer (f/m/d)

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.
  • 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.
Last updated 4 months ago

Responsibilities For Senior Data Engineer (f/m/d)

  • Design and develop cloud-native data pipelines
  • Implement statistical models and machine learning algorithms
  • Collaborate with teams to ensure efficient data flow
  • Develop and optimize data processes for high-volume datasets
  • Maintain compliance with data security and privacy standards

Requirements For Senior Data Engineer (f/m/d)

Python
TypeScript
Kubernetes
  • Experience in building data products processing billions of analytics events
  • Expertise in cloud-native data pipelines (Google Cloud Platform preferred)
  • Ability to design and operate ML models at scale
  • Understanding of A/B Testing and predictive analytics
  • Proficiency in Python, SQL, and data science libraries
  • Experience with automated testing and Infrastructure as Code
  • Strong communication skills in English

Benefits For Senior Data Engineer (f/m/d)

Equity
Medical Insurance
Parental Leave
Education Budget
Vision Insurance
Dental Insurance
  • Stock Options
  • Fertility and family building benefits
  • Generous paid time off
  • Annual education budget
  • Wellbeing stipend
  • Communication stipend
  • Office equipment stipend

Interested in this job?

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