Auf einen Blick
- Aufgaben: Design and optimize data pipelines using Airflow, Python, and dbt.
- Arbeitgeber: Join Contentful, a leading platform transforming digital content experiences globally.
- Mitarbeitervorteile: Enjoy stock options, generous PTO, education budgets, and wellness stipends.
- Warum dieser Job: Be part of a diverse team driving impactful data solutions in a collaborative environment.
- GewĂĽnschte Qualifikationen: 5+ years as a Data Engineer with strong Python and AWS skills required.
- Andere Informationen: Work in an inclusive culture that values diversity and empowers all employees.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
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Join to apply for the Data Engineer (f/m/d) role at Contentful
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About The Opportunity
We’re looking for a
About The Opportunity
We’re looking for a Data Engineer (f/m/d) to join our core Data Platform team. You’ll play a key role in building and improving data products that power decisions across the company—starting with modeling and pipelines, and growing into more technical platform challenges over time. You’ll serve as a key connector between Analytics Engineering, Business Intelligence, and Platform & Data Engineering—contributing to dbt models, debugging data pipelines, and helping ensure robust, scalable, and well-integrated data solutions across the stack. This role is ideal for someone who has worked with data in a hands-on way—maybe as an analyst, analytics engineer, or data-savvy developer—and is excited to deepen their engineering skills. You’ll work closely with senior engineers and have strong mentorship and growth support. You’ll be part of a small, experienced team that owns the end-to-end lifecycle of data products, from ingestion to modeling to operational reliability.
What to expect?
- Design and build trusted, well-modeled data products for analytics, reporting, and business operations
- Own and improve key pipelines (dbt, Airflow) with a focus on quality, usability, and uptime
- Investigate and resolve issues in business-critical data workflows
- Collaborate with analysts, product managers, and engineers to understand requirements and deliver usable data
- Learn and apply software engineering best practices: testing, CI/CD, observability, documentation, and more
- Participate in our on-call rotation to support operational reliability of the platform (with support and mentorship)
What You Need To Be Successful
Must Haves
- 2–5+ years of experience working with data—e.g., analytics engineering, BI, data analysis, or data engineering
- Solid understanding of data modeling, SQL, and data quality principles
- Exposure to Python and an interest in deepening technical skills (scripting, pipelines, automation)
- Experience working with modern data tooling (e.g., dbt, Airflow, Snowflake/Redshift/BigQuery)
- Curiosity and problem-solving mindset—motivated by fixing things, not just building new ones
- Comfortable working in ambiguity and owning projects with support from a senior team
Nice-to-Haves
- Interest in observability, testing frameworks, or reliability of data systems
- Exposure to cloud platforms (AWS, GCP) and tools like Terraform or Docker
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
- 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.
Who are we?
Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide.
Everyone is welcome here!
“Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical (dis)ability, or length of time spent unemployed. We invite you to apply and join us!
If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.
Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at with any information you may have.
By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
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Senior Data Engineer (f/m/d) Arbeitgeber: Contentful

Kontaktperson:
Contentful HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer (f/m/d)
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as Airflow, Python, and dbt. Having hands-on experience or projects that showcase your skills with these technologies will make you stand out.
✨Tip Number 2
Highlight any experience you have with AWS services like S3, Redshift, and Lambda. Be prepared to discuss how you've used these tools to build cloud-native data solutions in your previous roles.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've optimized data pipelines or troubleshot issues in a cloud environment. This will demonstrate your ability to drive business impact through data.
✨Tip Number 4
If you have experience with Infrastructure as Code (Terraform) and CI/CD tools, be sure to mention it. These skills are highly relevant for the role and can set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer (f/m/d)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience with data pipelines, Python, and AWS services. Use specific examples that demonstrate your skills in building scalable data solutions.
Craft a Strong Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the role at Contentful. Mention your experience with tools like Airflow and dbt, and how you can contribute to their Data Group.
Showcase Problem-Solving Skills: Provide examples of how you've solved complex data issues in previous roles. Highlight your troubleshooting abilities and any optimizations you've implemented in data pipelines.
Highlight Collaboration Experience: Since the role involves working closely with various teams, emphasize your experience collaborating with DevOps, Software Engineering, and Data teams. Share specific instances where teamwork led to successful project outcomes.
Wie du dich auf ein Vorstellungsgespräch bei Contentful vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Airflow, and AWS services in detail. Highlight specific projects where you designed and maintained scalable data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your troubleshooting skills. Prepare examples of how you've optimized data pipelines or resolved issues in a cloud environment, showcasing your analytical thinking and technical expertise.
✨Emphasize Collaboration Experience
Since this role involves working closely with various teams, share examples of successful collaborations. Discuss how you’ve worked with DevOps, Software Engineering, and Data teams to ensure seamless integration and drive business impact through data.
✨Prepare for Behavioral Questions
Be ready to answer behavioral questions that explore your mentoring experience and how you drive best practices in data engineering. Think of instances where you guided team members or contributed to a positive team culture.