Senior Data Engineer

vor 4 Wochen

Berlin, Berlin, Deutschland Jobs for Humanity Vollzeit
About the Opportunity

We are seeking a highly skilled Senior Data Engineer to join our team at Contentful. As a key member of our data engineering team, you will play a crucial role in building and optimizing data pipelines that power our Insights product.

Your primary responsibility will be to design and develop cloud-native data pipelines for event ingestion, transformation, and storage, utilizing a variety of data processing frameworks. You will work closely with our data science team to implement statistical models and machine learning algorithms, transforming data science concepts into production-ready solutions that deliver customer value.

You will also collaborate with our engineering teams to ensure efficient data flow and integration across the data stack. Additionally, you will develop and optimize data processes to handle high-volume datasets, ensuring data reliability and efficiency.

As a Senior Data Engineer, you will maintain compliance with data security and privacy standards, focusing on GDPR requirements. You will also be responsible for implementing 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.

What You Need to Succeed
  • 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 a dynamic tech company that is revolutionizing 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.

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