Senior Data Engineer (f/m/d) Jetzt bewerben
Senior Data Engineer (f/m/d)

Senior Data Engineer (f/m/d)

Berlin Vollzeit 43200 - 72000 € / Jahr (geschätzt)
Jetzt bewerben
Contentful

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.

We are searching for a highly-skilled Senior Data Engineer (f/m/d) to join our Data Group. In this role, you’ll be a critical player in building and optimizing the data pipelines that power our platform. You’ll work on designing scalable, reliable data solutions that support our internal teams and customers, enabling efficient data processing, usage tracking, and reporting.

You will be a key contributor to evolving our data infrastructure while collaborating with a diverse range of stakeholders, driving business impact through data.

What to expect?

  • Design, develop, and maintain scalable data pipelines using Airflow, Python, and dbt to support data processing.
  • Drive the architecture and development of a new Data Platform together with the team, ensuring scalability and adaptability for future needs.
  • Usage Data Platform : Build a high-performance platform for usage tracking, billing, and internal/external reporting.
  • Optimization : Continuously improve pipeline performance, troubleshoot issues, and implement monitoring to maintain platform reliability.
  • Work closely with DevOps, Software Engineering, and Data teams, ensuring seamless integration across the platform.
  • Share your expertise by mentoring team members and driving best practices in data engineering.

What you need to be successful

  • 5+ years of experience as a Data Engineer (f/m/d) , with a focus on designing and maintaining scalable data pipelines .
  • Proficiency in Python for building data pipelines, with hands-on experience using Airflow or other data orchestration tools.
  • Strong experience with AWS services (e.g., S3, Redshift, Lambda, Glue) for building cloud-native data solutions.
  • Experience with ETL/ELT processes and designing complex data flows.
  • Familiarity with dbt for transforming data in the warehouse is highly desirable.
  • Proficiency in Infrastructure as Code (Terraform) and CI/CD tools for automated deployments.
  • Knowledge of containerization and orchestration tools like Kubernetes, Docker, and Helm .
  • Strong problem-solving skills, with the ability to troubleshoot and optimize data pipelines in a cloud environment.

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, compassion days for loss, education days, 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 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 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. The Contentful Platform, Contentful Studio, and the Contentful Ecosystem combine the flexibility of composable content with the intelligence of AI, empowering digital teams to drive business momentum through collaboration, speed, and scale. Contentful powers innovative content experiences across brands, regions, and channels for organizations around the world, including nearly 30% of the Fortune 500. Nearly 800 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver and distributed around the world.

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 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!

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Senior Data Engineer (f/m/d) Arbeitgeber: Contentful

At Contentful, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters inclusivity and collaboration. As a Senior Data Engineer, you'll not only have the opportunity to shape our data infrastructure but also benefit from generous paid time off, a personal education budget, and wellness stipends that support your overall well-being. Join us in Berlin or remotely, and be part of a diverse team that values your growth and contributions while reshaping digital experiences for organizations worldwide.
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)

Data Pipeline Design
Python Programming
Airflow
AWS Services (S3, Redshift, Lambda, Glue)
ETL/ELT Processes
dbt
Infrastructure as Code (Terraform)
CI/CD Tools
Containerization (Docker, Kubernetes)
Orchestration Tools (Helm)
Problem-Solving Skills
Data Optimization
Collaboration with Cross-Functional Teams
Mentoring and Best Practices in Data Engineering

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.

Senior Data Engineer (f/m/d)
Contentful Jetzt bewerben
Contentful
  • Senior Data Engineer (f/m/d)

    Berlin
    Vollzeit
    43200 - 72000 € / Jahr (geschätzt)
    Jetzt bewerben

    Bewerbungsfrist: 2027-01-09

  • Contentful

    Contentful

    201 - 500
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