Analytical Engineer f/m/d
Analytical Engineer f/m/d

Analytical Engineer f/m/d

Full-Time 60000 - 80000 ÂŁ / year (est.) Home office (partial)
Somi AI

At a Glance

  • Tasks: Design and maintain scalable data models for our cutting-edge analytics platform.
  • Company: Join a forward-thinking tech company revolutionising data analytics.
  • Benefits: Enjoy stock options, generous paid time off, and an annual education budget.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Be at the forefront of data evolution and make a real impact.
  • Qualifications: 3+ years in analytics engineering with strong SQL and Snowflake skills.

The predicted salary is between 60000 - 80000 ÂŁ per year.

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. 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

  • 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.
  • 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.
  • 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

  • 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.
  • Proven expertise with SQL to build modular and well‑documented data models in dbt and an understanding of various data modeling techniques.
  • Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning).
  • Strong ability to work cross‑functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions.
  • Experience applying version control, testing, and observability practices in dbt or similar frameworks.

Preferred

  • Experience structuring data for BI tools such as Tableau, focusing on scalability and performance.
  • Familiarity with Airflow, or similar tools for data ingestion and orchestration.
  • Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
  • Understanding of data cataloging, lineage, and documentation using tools like Atlan.

Benefits

  • 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.
  • Generous 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.
  • Annual education budget to improve your skills and grow in your career.
  • Full range of virtual and in‑person events, workshops, guest speakers, and fun team activities.
  • 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.

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. If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.

Analytical Engineer f/m/d employer: Somi AI

Contentful is an exceptional employer that prioritises employee growth and well-being, offering a comprehensive benefits package including stock options, generous paid time off, and an annual education budget to enhance your skills. Our collaborative work culture fosters innovation and inclusivity, making it an ideal environment for analytics engineers to thrive while contributing to the evolution of our cutting-edge data platform in a supportive and dynamic setting.
Somi AI

Contact Detail:

Somi AI Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytical Engineer f/m/d

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills in analytics engineering can help them achieve their goals. Practice common interview questions and have your own questions ready to show your interest.

✨Tip Number 3

Show off your projects! If you've worked on any cool data models or analytics projects, make sure to highlight them during interviews. Having tangible examples of your work can really set you apart from other candidates.

✨Tip Number 4

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 team at Contentful.

We think you need these skills to ace Analytical Engineer f/m/d

Analytics Engineering
Data Engineering
Business Intelligence Development
SQL
dbt
Snowflake
Data Modeling Techniques
Cross-Functional Collaboration
Version Control
Testing Practices
Observability Practices
Tableau
Airflow
Data Cataloging
Documentation

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with SQL, dbt, and Snowflake in your application. We want to see how you've used these tools to create scalable data models and transform raw data into actionable insights.

Be Specific About Your Projects: When detailing your past projects, focus on the end-to-end ownership you’ve taken. Describe how you scoped requirements, implemented solutions, and monitored outcomes. This will help us understand your approach and problem-solving skills.

Keep It Clear and Concise: We appreciate clarity! Use straightforward language and avoid jargon where possible. A well-structured application that’s easy to read will definitely catch our eye.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Somi AI

✨Know Your Data Models

Make sure you’re well-versed in the data modelling techniques relevant to the role. Brush up on your SQL skills and be ready to discuss how you've built modular and well-documented data models in dbt. This will show that you understand the core responsibilities of the position.

✨Showcase Your Cross-Functional Collaboration

Prepare examples of how you've worked with analysts, engineers, and business stakeholders in the past. Highlight specific projects where you translated business needs into technical solutions. This will demonstrate your ability to work effectively across teams, which is crucial for this role.

✨Familiarise Yourself with Snowflake

Since deep knowledge of Snowflake is a must-have, make sure you can discuss its features confidently. Be prepared to talk about performance tuning, roles, and warehouses. If you have experience with cost efficiency in Snowflake, definitely bring that up!

✨Emphasise Best Practices

Discuss your experience with version control, testing, and observability practices in dbt or similar frameworks. Share how you’ve applied best practices in modularity and documentation in your previous projects. This will show that you’re committed to long-term reliability and quality in your work.

Analytical Engineer f/m/d
Somi AI

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