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

Senior Data Engineer (f/m/d)

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office possible
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At a Glance

  • Tasks: Design and build scalable data solutions that drive analytics and business decisions.
  • Company: Join Contentful, a leading digital experience platform with a diverse and inclusive culture.
  • Benefits: Enjoy stock options, generous paid time off, and a personal education budget.
  • Why this job: Make a real impact by empowering data-driven decision-making across the company.
  • Qualifications: 5+ years in data engineering, strong SQL skills, and experience with cloud data warehouses.
  • Other info: Collaborate with a global team and thrive in a dynamic, innovative environment.

The predicted salary is between 36000 - 60000 ÂŁ per year.

We’re looking for a Senior Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data. You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.

What to expect?

  • Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
  • Develop high-quality data models that support analytics, reporting, and operational use cases.
  • Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
  • Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
  • Optimize data storage, processing, and performance within cloud data warehousing environments.
  • Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
  • Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
  • Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
  • Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
  • Participate in code reviews, design discussions, and operational on-call rotations as needed.
  • Share your expertise by mentoring team members and driving data engineering best practices.

What you need to be successful?

Required

  • 5+ years of experience as a Data Engineer or similar technical role.
  • Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
  • Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
  • Proficiency in Python or another scripting language.
  • Strong understanding of data modeling, data structures, and modern data architecture patterns.
  • Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
  • Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
  • Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
  • Excellent communication skills and a product-focused mindset.

Preferred

  • Experience with monitoring/observability tools (e.g., Monte Carlo).
  • Experience with BI tools such as Tableau.
  • Background in distributed systems, APIs, or event-based architectures.
  • Exposure to data security, compliance, or privacy frameworks.

What we’re looking for

  • A builder who enjoys solving complex data challenges with clean, reliable, scalable solutions.
  • A leader who takes charge in the data engineering space and helps drive best practices.
  • A collaborator who thrives in cross-functional environments and communicates clearly.
  • A problem-solver who cares about quality, consistency, and long-term maintainability.
  • Someone who wants to make a measurable impact by empowering data-driven decision-making across the company.

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.

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. 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 security-esk@contentful.com with any information you may have.

Senior Data Engineer (f/m/d) employer: Contentful GmbH

Contentful is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to thrive in their careers. With generous benefits such as stock options, a comprehensive wellbeing stipend, and a commitment to work-life balance, employees can enjoy meaningful work while also focusing on personal growth and family needs. The opportunity to engage in diverse projects within a global team enhances professional development, making Contentful a rewarding place for those passionate about data engineering and innovation.
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Contact Detail:

Contentful GmbH Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer (f/m/d)

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about job openings.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best data projects, pipelines, and models. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past roles—this will help you shine during those crucial conversations.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team!

We think you need these skills to ace Senior Data Engineer (f/m/d)

Data Engineering
SQL
Cloud Data Warehousing (e.g., Snowflake, Redshift, BigQuery)
ETL/ELT Pipelines
dbt
Airflow
Python
Data Modelling
Data Structures
Modern Data Architecture Patterns
CI/CD Workflows
Version Control (Git)
Infrastructure-as-Code (Terraform)
Data Governance
Communication Skills

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data pipelines, SQL, and cloud data warehouses. We want to see how your skills align with the role of a Senior Data Engineer!

Showcase Your Projects: Include specific examples of projects where you've built or maintained ETL/ELT pipelines. We love seeing real-world applications of your skills, so don’t hold back on the details!

Communicate Clearly: Since collaboration is key in our team, make sure your application reflects your communication skills. Use clear language and structure to convey your experience and how you can contribute to our cross-functional environment.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at Contentful GmbH

✨Know Your Data Tools

Make sure you’re well-versed in the tools mentioned in the job description, like SQL, dbt, and Airflow. Brush up on your cloud data warehouse knowledge too, especially if you have experience with Snowflake or BigQuery. Being able to discuss these tools confidently will show that you're ready to hit the ground running.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you designed scalable data pipelines or improved data quality. This will demonstrate your ability to think critically and provide actionable solutions, which is key for a Senior Data Engineer.

✨Collaborate Like a Pro

Since this role involves working closely with cross-functional teams, be ready to discuss your collaboration experiences. Highlight instances where you partnered with analysts or business stakeholders to translate their needs into technical solutions. This will show that you can bridge the gap between technical and non-technical teams.

✨Emphasise Continuous Learning

Mention your commitment to staying updated with industry trends and best practices, especially in data engineering. Talk about any recent courses or certifications you've completed, or how you plan to use your personal education budget. This reflects your proactive approach and desire to grow within the company.

Senior Data Engineer (f/m/d)
Contentful GmbH

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