Data Engineer

Data Engineer

Full-Time 55000 - 65000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Join us to build and scale our data platform while collaborating with cross-functional teams.
  • Company: Cutover, a leading SaaS company focused on empowering technology operations.
  • Benefits: Enjoy competitive salary, share options, generous PTO, and personal development budget.
  • Why this job: Shape the future of data and AI in a collaborative and inclusive environment.
  • Qualifications: 2-4 years in data engineering, experience with Python, PostgreSQL, and AWS tools.
  • Other info: Be part of a supportive culture that values diversity and mental health.

The predicted salary is between 55000 - 65000 £ per year.

An inclusive work environment is an empowering one. At Cutover, we lead with empathy and enable others to succeed through curiosity, kindness, and self-expression.

Location: Remote

We regret that we are unable to provide work visa sponsorship at this time.

Cutover provides enterprise technology operations teams with an AI-powered SaaS solution that automates and streamlines complex processes with intelligent runbooks. The Cutover solution enables teams to respond to incidents quickly, recover from IT outages, and manage cloud migrations with precision and efficiency. Cutover is used in many of the world's largest financial institutions to support their critical technology operations, including 5 out of the top 6 largest asset managers and 3 out of the top 5 US banks.

Our Data Stack

  • Looker for data visualization and analysis
  • Amazon Redshift for data warehousing
  • Fivetran and dbt for data ingestion and transformation
  • Multiple data sources across the Cutover app and operational systems, including Datadog, Salesforce, and a growing ecosystem of internal and external tools

What does this role mean to us?

We’re looking for a Data Engineer to help us rebuild and scale our data platform as we grow our customer base in 2026 and beyond. This is a hands-on role where you’ll own core parts of our data pipeline, collaborate closely with engineering and cloud teams, and help shape how data is used across the business—including enabling future AI and LLM-powered internal use cases.

What will you be doing as our Data Engineer

  • Evolve our data pipelines to scale reliably as we onboard an increasing number of clients
  • Design, build, and maintain robust ETL/ELT processes using Fivetran, dbt, and AWS-native tools
  • Work closely with our cloud and engineering teams to recommend and implement software that supports AI and LLM use cases on our data lake
  • Integrate data from a wide range of systems (product, operational, and third-party) into a trusted analytics layer
  • Partner with stakeholders across the company to understand data needs and deliver clear, usable data models and insights
  • Ensure data quality, reliability, and performance across our warehouse and analytics stack

What we’d like you to bring to the table…

  • A strong interest in data engineering and a passion for collecting, storing, transforming, and modeling data for real-world use
  • Experience transforming data so it can be consumed by stakeholders across product, operations, and leadership
  • Approximately 2–4 years of experience in a data engineering or analytics engineering role (we value skills and impact over exact timelines)
  • Hands-on experience with Python, PostgreSQL and Amazon Redshift
  • Experience working with AWS, dbt, and modern ELT tools
  • Comfort learning and adopting new technologies for data collection, transformation, and visualization as our stack evolves
  • Experience pulling data from multiple sources and making it available in tools like Looker and emerging LLM-based interfaces

Nice to Have

  • Experience working with product or SaaS data
  • Experience working with IaC
  • Familiarity with data observability, monitoring, or logging tools
  • Exposure to AI/ML or LLM-enabled analytics use cases

Why Join Cutover?

  • Help shape and scale a modern data platform at a growing SaaS company
  • Work closely with cross-functional teams and influence how data is used company-wide
  • Be part of a collaborative, pragmatic engineering culture with room to grow
  • Play a key role in enabling the next generation of data and AI capabilities at Cutover

More good stuff…

  • We're excited to offer Share Options as part of our compensation package.
  • 25 days of PTO per year + public holidays, and we want you to take all of them!
  • 3 volunteer days to use for any charitable/voluntary cause you would like.
  • A top-tier private health insurance package.
  • Aviva pension scheme.
  • Work from home stipends
  • A personal learning and development budget through Learnerbly. You’ll be supported in your quest for knowledge, whatever that looks like to you.
  • If you’re thinking of starting or growing your family, then you’ll be in great company - more than half of our team are parents and we’ve built a globally consistent parental leave approach that we’re proud of.
  • Employee Referral Scheme.
  • Safeguarding the mental health of our teams is paramount for us. If you’d like to, then you’ll be able to avail yourself of multiple Cutover mental health initiatives, from fully subsidized therapy sessions to subscriptions to leading wellbeing platforms.
  • Target compensation package: £55,000-65,000 + stock options. The final offer may vary from the target compensation package, taking into consideration factors such as your experience level and skill set. If we aren't aligned on salary at this stage, we’d still love to hear from you to better understand if there are more suitable opportunities at Cutover.

Diversity Statement - Empowering Our Teams

We encourage our team to bring their authentic selves to work, which we have found has strengthened workplace relationships and fostered a genuine sense of community. If you are excited by this role, we invite you to apply! Even if your profile doesn’t check all the boxes, please don’t simply scroll past! We recognize that talent lies everywhere and that some demographic groups are more likely to apply for a "stretch role" than others. We are always open to different perspectives and professional backgrounds to keep Cutover's culture evolving and to ensure that we never stop learning.

Cutover is an Equal Opportunity Employer. Maintaining an equitable hiring process is imperative to our mission. All applicants are considered without regard to race, ethnicity, national origin, religion, sex, gender identity, sexual orientation, age, mental or physical disability, marital status, protected veteran or parental status.

Learn more about Life at Cutover, our Guiding Principles, and our latest news on Twitter and LinkedIn.

Data Engineer employer: Cutover

At Cutover, we pride ourselves on fostering an inclusive and empowering work environment that champions curiosity, kindness, and self-expression. As a Data Engineer, you'll have the opportunity to shape and scale our modern data platform while collaborating with cross-functional teams in a supportive culture that prioritises employee growth and well-being. With generous benefits including share options, extensive PTO, and a commitment to mental health initiatives, Cutover is an exceptional place for those seeking meaningful and rewarding employment in a dynamic SaaS company.
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Contact Detail:

Cutover Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. 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 data projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by practising common data engineering questions. 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. Plus, we love hearing from passionate candidates who are excited about joining Cutover!

We think you need these skills to ace Data Engineer

Data Engineering
ETL/ELT Processes
Fivetran
dbt
AWS
Python
PostgreSQL
Amazon Redshift
Data Integration
Data Quality Assurance
Data Modelling
Data Visualization
Looker
AI and LLM Technologies
Collaboration Skills

Some tips for your application 🫡

Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects or experiences that highlight your interest in collecting, storing, and transforming data. We love seeing candidates who are genuinely excited about the field.

Tailor Your Application: Make sure to customise your application to fit the Data Engineer role at Cutover. Highlight relevant skills and experiences that align with our tech stack, like Python, PostgreSQL, and AWS. This shows us you’ve done your homework and understand what we’re looking for.

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and how they relate to the role. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Cutover and our culture!

How to prepare for a job interview at Cutover

✨Know Your Data Stack

Familiarise yourself with the tools mentioned in the job description, like Looker, Amazon Redshift, Fivetran, and dbt. Be ready to discuss how you've used these technologies in your previous roles and how they can be applied to enhance Cutover's data platform.

✨Show Your Passion for Data Engineering

Express your enthusiasm for data engineering during the interview. Share specific examples of projects where you collected, transformed, or modelled data, and explain how your work made a real-world impact. This will demonstrate your genuine interest in the role.

✨Prepare for Technical Questions

Expect technical questions related to data pipelines, ETL/ELT processes, and data quality. Brush up on your Python and PostgreSQL skills, and be prepared to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident.

✨Emphasise Collaboration Skills

Since the role involves working closely with cross-functional teams, highlight your experience collaborating with stakeholders. Share examples of how you’ve partnered with others to understand data needs and deliver insights, showcasing your ability to communicate effectively.

Data Engineer
Cutover
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