Staff Software Engineer - Analytics fmd

Contentful
London
9 months ago
Applications closed

Related Jobs

View all jobs

ML Engineer / Data Scientist

Senior Machine Learning Engineer

Principal Data Scientist

Principal Data Scientist

Staff / VP, Machine Learning Engineer (UK)

Staff / VP, Data Scientist (UK)

About the Opportunity

Are you ready to lead the next stage of an evolving Analytics product at Contentful Were 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 productmarket fit. Youll 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 handson leader youll work closely with our CTO EVP and other senior engineers engaging directly with customers collaborating with crossfunctional teams and mentoring those around youall while maintaining a clear vision for the products future. If youre 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 inBerlin Germany. We welcome applications from candidatesopen to relocating. Relocation support is available for eligible candidates.***

What to expect
  • Define and maintain the endtoend 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 decisionmaking.
  • 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 realworld needs.
  • Provide handson guidance to tackle bottlenecks resolve technical challenges and contribute highquality code and architectural artifacts setting and maintaining best practices to deliver reliable scalable and efficient solutions.
  • Design and optimize data pipelines using modern cloudnative tools (e.g. GCP BigQuery PubSub Dataflow) and implement APIs for hightraffic customerfacing 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 longterm maintainability.
What you need to be successful
  • Extensive experience building and scaling highthroughput dataintensive customerfacing systems with a strong focus on performance and reliability.
  • Demonstrated ability to craft endtoend system architectures and oversee their implementation including designing APIs and protocols for hightraffic applications.
  • Strong coding skills and commercial experience with serverside TypeScript. Having Experience with data related languages like SQL or Python is an advantage.
  • Familiarity with modern cloudnative 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 customercentric 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 nontechnical audiences.
Whats in it for You
  • Join an ambitious tech company reshaping the way people build digital experiences
  • Fulltime 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 WorkLife 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 inperson 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.

#LIKH1#LIHybrid

Who are we

Contentful is the intelligent composable content platform that unlocks all of an organizations 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. Nearly800 peoplefrom more than70 nationscontribute their energy and creativity to Contentful working from hubs in Berlin Denver and distributed around the world.

Everyone is welcome here!

Everyone is welcome hereis 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 disability 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 chatbased 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 atwith any information you may have.

By clicking Apply for this job I acknowledge that I have read theContentfuls Candidate Privacy Noticeand hereby consent to the collection processing use and storage of my personal information as described therein.


Required Experience:

Staff IC


Key Skills
Campaigns,JSP,Dhtml,Loans,Automobile
Employment Type :Full-Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.