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Staff Software Engineer - Analytics (f/m/d) - job 1 of 2

Company Description

Jobs for Humanity is collaborating with Contentful to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.

Company Name: Contentful

Job Description

About the Opportunity

Are you ready to lead the next stage of an evolving Analytics product at Contentful? We’re looking for a technical leader with an entrepreneurial spirit and a pioneering mindset to chart new paths, tackle complex challenges, and guide our engineering team toward product-market fit. You’ll draw on your technical leadership, architectural insights, and interest in analytics to refine system architectures and ensure our platform scales to meet enterprise demands. As a hands-on leader, you’ll work closely with our CTO, EVP, and other senior engineers, engaging directly with customers, collaborating with cross-functional teams, and mentoring those around you—all while maintaining a clear vision for the product’s future. If you’re driven by building products that truly resonate with users and setting the pace for innovation, this role offers you the chance to make a lasting impact.

***This role is based in Berlin, Germany. We welcome applications from candidates open to relocating. Relocation support is available for eligible candidates.***

What to expect? 
  • Define and maintain the end-to-end architecture of our analytics platform, ensuring seamless integration through SDKs, event ingestion APIs, data pipelines, and query layers, with a focus on scalability, resilience, and performance to handle billions of events daily.
  • Mentor engineers to understand how their work fits into the bigger picture, fostering a collaborative environment that encourages diverse perspectives and informed technical decision-making.
  • Partner with senior leadership, product managers, and customers to shape the product roadmap, aligning technical feasibility with business goals and participating in customer discussions to ensure the platform addresses real-world needs.
  • Provide hands-on guidance to tackle bottlenecks, resolve technical challenges, and contribute high-quality code and architectural artifacts, setting and maintaining best practices to deliver reliable, scalable, and efficient solutions.
  • Design and optimize data pipelines using modern cloud-native tools (e.g., GCP BigQuery, PubSub, Dataflow) and implement APIs for high-traffic, customer-facing data products using TypeScript and serverless architectures.
  • Collaborate with colleagues to deploy and operate statistical and machine learning models in production, ensuring reliability, scalability, and long-term maintainability.
What you need to be successful
  • Extensive experience building and scaling high-throughput, data-intensive, customer-facing systems with a strong focus on performance and reliability.
  • Demonstrated ability to craft end-to-end system architectures and oversee their implementation, including designing APIs and protocols for high-traffic applications.
  • Strong coding skills and commercial experience with server-side TypeScript. Having Experience with data related languages like SQL or Python is an advantage.
  • Familiarity with modern cloud-native tools and data engineering frameworks; experience with GCP and Cloudflare Workers is nice to have.
  • Entrepreneurial mindset with the ability to work autonomously and propose innovative solutions.
  • Strong collaboration and customer-centric skills with a proven ability to build consensus across teams, engage with clients to understand their challenges, and incorporate their feedback into technical solutions.
  • Proven success in B2B enterprise product environments, delivering scalable, secure, and reliable solutions to demanding customers.
  • Excellent English communication skills (verbal and written), capable of explaining complex technical concepts to both technical and non-technical audiences.
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
  • Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents.
  • 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, compassion days for loss, education days, and volunteer days
  • Company paid parental leave 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 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.

#LI-KH1 #LI-Hybrid 

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!

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 reaching out to us at [email protected] 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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Average salary estimate

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What You Should Know About Staff Software Engineer - Analytics (f/m/d), Jobs for Humanity

Are you an innovative problem-solver ready to take on a challenging and rewarding role as a Staff Software Engineer - Analytics at Contentful in London? If you have a passion for analytics and want to drive the development of cutting-edge products, this could be the perfect opportunity for you. In this dynamic role, you’ll lead technical initiatives and engage closely with our CTO and engineering team to refine system architectures that empower our analytics platform to scale efficiently, handling billions of data points every day. You will have the chance to mentor fellow engineers, foster collaborative efforts across various teams, and work directly with customers to ensure the product aligns with their needs. Embrace your entrepreneurial spirit and make impactful technical decisions that shape the future of our analytics offerings. Plus, with comprehensive support, you'll have the opportunity to relocate and thrive in a progressive environment that values work-life balance and creativity. Come help us redefine digital experiences and contribute to a diverse and inclusive team!

Frequently Asked Questions (FAQs) for Staff Software Engineer - Analytics (f/m/d) Role at Jobs for Humanity
What responsibilities does a Staff Software Engineer - Analytics at Contentful have?

As a Staff Software Engineer - Analytics at Contentful, you will be responsible for defining and maintaining the system architecture of our analytics platform, mentoring engineers, collaborating with senior management and clients, and optimizing data pipelines. You'll tackle complex technical challenges and contribute directly to our product roadmap, ensuring it meets user needs and aligns with business goals.

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What qualifications are required for the Staff Software Engineer - Analytics position at Contentful?

Candidates for the Staff Software Engineer - Analytics position at Contentful should have extensive experience in building high-throughput, customer-facing systems, proficiency in server-side TypeScript, and a strong understanding of cloud-native tools and data engineering frameworks such as GCP BigQuery. Familiarity with languages like SQL or Python and excellent communication skills are also important.

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What does the career growth look like for a Staff Software Engineer - Analytics at Contentful?

At Contentful, a Staff Software Engineer - Analytics has significant career growth potential. You’ll lead pivotal projects, mentor junior engineers, and work closely with senior leadership to shape the analytics product vision. The culture emphasizes continuous learning and offers opportunities to enhance your skills, thereby preparing you for higher leadership roles within the company.

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What is the work culture like for a Staff Software Engineer - Analytics at Contentful?

Contentful boasts a vibrant and inclusive work culture where diverse backgrounds and experiences are celebrated. As a Staff Software Engineer - Analytics, you will enjoy a collaborative environment, ample opportunities for innovation, a strong emphasis on work-life balance, and access to various professional development programs.

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What kind of projects will a Staff Software Engineer - Analytics work on at Contentful?

In the role of Staff Software Engineer - Analytics at Contentful, you will engage in exciting projects focused on refining our analytics platform, optimizing data pipelines, and integrating machine learning models into production. You'll be instrumental in designing APIs for high-traffic applications and ensuring the system's performance, resilience, and scalability.

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Common Interview Questions for Staff Software Engineer - Analytics (f/m/d)
Can you describe your experience with server-side TypeScript and how it relates to the role?

Certainly! In your response, highlight specific projects where you utilized server-side TypeScript to build highly efficient applications. Discuss the advantages of TypeScript in creating scalable applications and your approach to code quality and testing.

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How do you handle complex technical challenges when leading a team?

When addressing complex challenges, I prioritize breaking the problem down into manageable tasks. I encourage open communication within my team to brainstorm solutions, allowing everyone to contribute. Share a specific example of a challenge you faced and how you led your team to overcome it.

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What strategies do you use to mentor junior engineers?

I focus on creating a supportive learning environment. I implement regular one-on-one sessions to provide guidance and feedback while promoting independence in problem-solving. Share specific mentoring moments that have led to positive outcomes for junior engineers.

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How do you approach designing end-to-end system architectures?

My approach to designing system architectures starts with understanding the requirements thoroughly. I then outline key components, ensuring that the architecture supports scalability and performance. Discuss a specific architecture you designed and any trade-offs you had to consider.

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Can you give an example of a high-traffic application you have built?

Certainly! Discuss a high-traffic application, detailing the technologies you implemented and how you ensured performance and reliability. Highlight any unique challenges you faced in handling large volumes of data.

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What tools and frameworks have you utilized within the GCP ecosystem?

In my previous projects, I have used various GCP tools such as BigQuery for data analysis and Dataflow for stream and batch data processing. Share specific use cases where these tools improved the system quality and efficiency.

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How do you evaluate the effectiveness of analytics products?

I assess the effectiveness based on user feedback, the volume of data processed, and the system's performance metrics. Share specific analytics metrics you have used in the past to measure success and inform future enhancements.

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What is your experience with statistical and machine learning models?

I have experience deploying models into production using cloud services. I monitor their performance over time to ensure they adapt effectively to new data. Discuss any model deployment experiences, emphasizing how you ensured reliability and scalability.

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How do you ensure the team remains aligned with business goals while working on technical solutions?

I facilitate regular discussions between technical and product teams to sync on objectives. I advocate for transparency, ensuring that engineers understand how their work feeds into broader business goals. Share methods you use to reinforce this alignment.

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What do you find most rewarding about being a Staff Software Engineer in analytics?

The most rewarding aspect is directly impacting user satisfaction and business outcomes through data-driven solutions. Reflect on specific instances where your work positively influenced product usage or customer insights.

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DATE POSTED
March 29, 2025

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