At a Glance
- Tasks: Lead the development of an AI-native data platform and optimise data architecture.
- Company: Join Camunda, a top-rated tech company transforming into an AI-first organisation.
- Benefits: Enjoy remote work, competitive salary, equity options, and generous professional growth support.
- Other info: Be part of a diverse team with excellent career growth opportunities and a vibrant culture.
- Why this job: Make a real impact in a fast-growing company and enhance your CV with unique experience.
- Qualifications: 5+ years in Data Engineering or ML, strong data modelling skills, and a passion for clean code.
The predicted salary is between 90300 - 148500 £ per year.
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences.
Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform. We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team. Named GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. Ranked 3rd in Flexa's 2026 Most Flexible Companies. We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading.
About the Role:
We’re hiring a Senior Data Engineer to join our team. We’re building an AI-native data platform and looking for a data engineer to help scale it. You’ll build core pipelines, CI/CD processes, and shape our data architecture.
What you'll be doing:
- Lead improvements to our data infrastructure and architecture
- Optimize query design and performance
- Build monitoring for data pipelines and implement DataOps best practices
- Partner with teams across Camunda to champion good data acquisition, storage, and stewardship practices
What you bring:
- We’re looking for an experienced data engineer with ML/AI experience who’s comfortable working in an AI-native environment
- Ability and/or willingness to use Camunda’s product
- 5+ years of Data Engineering or ML experience
- Strong data modeling skills and several years of experience with dbt
- Ownership mindset: we’re a small team and proud of our accomplishments
- Experience in deploying, operating, and evolving data pipelines in the cloud (batching and streaming)
- Knowledge of Infrastructure as code tools such as Terraform
- Strong communication skills, enjoys sharing knowledge and learning collaboratively
- Passion for clean code, adept at writing automated tests to maintain codebase quality and product excellence
This role is an existing vacancy.
What We Have to Offer:
Compensation: We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets reflecting local competition. The Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills, experience, and location, and we typically hire in the first half of the range to allow room for growth:
- United States: $143,800.00 to $231,900.00
- United Kingdom: £90,300.00 to £148,500.00
- Singapore: S$178,600.00 to S$267,900.00
If you’re based elsewhere, you’ll be hired via Remote.com (our global employer partner), and your Talent Acquisition Partner will provide a personalized Total Rewards Calculator after your first interview.
Equity: We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP).
Benefits & Perks: We invest in your wellbeing, growth, and ability to connect, along with perks that support you no matter where you’re based. Our benefits are globally designed and locally delivered where applicable.
- Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it.
- In Person Connection: We invest in meaningful face time through our Annual Kickoff, team offsites, and Camundi Connection Budgets, including contributing to meetups while travelling, and local gatherings with fellow Camundi.
- Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life, not just work.
- Financial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant.
- Professional Growth: Up to $/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide!
AI in our hiring process: Camunda may use AI tools to aid the screening of applications and during the interview process.
“Everyone is welcome at Camunda” — it’s a celebrated component of our culture. We strive to create an inclusive environment that empowers our people. At Camunda, we honour diverse cultures and backgrounds and are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to gender, race, ethnicity, religion, belief, sexual orientation, age, disability or any other protected characteristics under applicable law.
We are looking forward to your application! Come join us and be part of Camunda’s incredible journey: Make an impact at a pivotal moment in our story!
Please be aware that scammers may impersonate Camunda by reaching out about job opportunities. Camunda will only contact candidates from an email address ending in @camunda.com or @talent.camunda.com. We will never ask candidates for bank account details, checks, payment, or other sensitive financial information as part of our hiring process. If you receive a suspicious message, please do not respond, click any links, or share personal information.
Note for recruiting and placement agencies: Camunda does not accept unsolicited agency resumes. Please do not forward resumes to our careers site, employees, or any other Camunda contact unless we have specifically engaged your firm for that search. Camunda will not pay fees related to unsolicited resumes.
Senior Data Engineer employer: Camunda
At Camunda, we pride ourselves on being a forward-thinking employer that champions innovation and inclusivity. Our fully remote work culture allows for unparalleled flexibility, while our commitment to professional growth ensures that every team member has access to resources for continuous learning and development. Join us in transforming the future of AI orchestration and enjoy competitive compensation, equity options, and a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Camunda!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Camunda.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Camunda.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Camunda, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Camunda, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Camunda. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Camunda
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Camunda!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
