Senior Data Engineer

Applied Intuition Inc.; Greater London; Hybrid; GBP 70,000 - GBP 90,000; Full time

Job summary

A leading tech company in the UK is seeking a Senior Data Engineer to develop and optimize data solutions for analytics and reporting. You will design and maintain data pipelines, ensuring data quality and collaborating with cross-functional teams. The ideal candidate has over 5 years of experience, strong SQL skills, proficiency in Python, and familiarity with cloud data warehouses. Enjoy benefits like stock options, ample paid time off, and a supportive work culture that values diversity.

Benefits

Stock Options

Generous paid time off

Education budget

Wellbeing stipend

Monthly communication stipend

Qualifications

• 5+ years of experience as a Data Engineer or similar technical role.
• Strong understanding of data structures and modern data architecture patterns.
• Experience building and maintaining ETL/ELT pipelines.
• Familiarity with data governance concepts.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop high-quality data models for analytics and reporting.
• Implement strong data quality and monitoring processes.
• Collaborate with cross-functional partners on data definitions.

Skills

Strong SQL skills

Experience with cloud data warehouses

Proficiency in Python

Collaboration skills

Data modeling

Tools

dbt

Airflow

Git

Terraform

Tableau

Job description

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 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.

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