At a Glance
- Tasks: Design and maintain scalable data models for actionable insights across teams.
- Company: Join Contentful, a leading digital experience platform with a diverse and inclusive culture.
- Benefits: Enjoy stock options, generous paid time off, and an annual education budget.
- Other info: Collaborate with a global team and participate in engaging learning events.
- Why this job: Be at the forefront of data evolution and make a real impact in a tech-driven environment.
- Qualifications: 3+ years in analytics engineering with strong SQL and Snowflake expertise.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform. In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company. Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture.
Key Responsibilities
- Data Modeling & Transformation: Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake. Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures. Apply best practices in modularity, documentation, and testing to ensure long-term reliability.
- Pipeline Ownership: Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring. Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools.
- Enablement & Collaboration: Partner with analysts, data scientists, and business teams to define and deliver trusted data assets. Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake. Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams.
What You’ll Need
Required
- Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.
- Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques.
- Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning).
- Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions.
- Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks.
Preferred
- Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance.
- Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration.
- Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
- Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan.
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.
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 security-esk@contentful.com 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.
Analytical Engineer f/m/d in London employer: Content that scales. Experiences that convert.
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 personal education budget, employees are supported in both their professional and personal growth. Located in vibrant hubs like Berlin and San Francisco, Contentful offers a dynamic environment where innovation meets work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
Content that scales. Experiences that convert. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analytical Engineer f/m/d in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects and data models. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to analytics engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Analytical Engineer f/m/d in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Analytics Engineer role. Highlight your experience with SQL, Snowflake, and data modelling techniques that align with what we're looking for.
Showcase Your Projects:Include specific examples of analytics engineering projects you've worked on. We want to see how you've taken ownership from scoping to implementation, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at Content that scales. Experiences that convert.
✨Know Your Data Models
Make sure you brush up on your data modelling skills, especially in dbt and Snowflake. Be ready to discuss specific examples of how you've designed and maintained scalable data models in the past. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Collaboration Skills
Since this role involves working closely with analysts, engineers, and business stakeholders, prepare to share examples of successful collaborations. Highlight how you translated complex technical needs into actionable insights for non-technical teams. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL, data transformation, and performance tuning in Snowflake. Brush up on your knowledge of best practices in data ops, version control, and testing. Being able to articulate your thought process during these discussions will set you apart.
✨Understand the Company Culture
Familiarise yourself with Contentful's mission and values, especially their commitment to inclusivity and collaboration. Be prepared to discuss how your personal values align with theirs. This shows that you're not just a fit for the role, but also for the company culture.
