Pulse Group
Senior Data Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Data Platform Engineer
Contract | Remote | Inside IR35
We're partnering with a technology-driven organisation building a next-generation data platform that sits at the heart of its analytics, AI and real-time decision-making capabilities.
This is a genuine opportunity to work on a modern, cloud-native platform where you'll help shape architecture, engineering standards and platform capabilities rather than simply maintain existing solutions.
What You'll Be Doing
- Designing and building scalable batch and streaming data pipelines
- Developing event-driven architectures using Kafka and modern messaging platforms
- Building and maintaining cloud-native lakehouse architectures using Apache Iceberg
- Deploying and operating data workloads on Kubernetes-based platforms
- Designing reliable, observable and performant data products
- Working closely with engineering, analytics and AI teams to deliver scalable data capabilities
- Contributing to platform architecture, tooling decisions and engineering best practice
- Improving platform reliability, governance, data quality and operational excellence
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Technology Environment
- Apache Kafka
- Apache Iceberg
- Kubernetes / EKS
- Python / PySpark
- Apache Airflow / Dagster
- Terraform
- Spark & Streaming Technologies
- AWS Cloud Platform
- Modern Lakehouse Architecture
What We're Looking For
- Strong experience designing and operating modern data platforms
- Expertise in Kafka and event-driven architectures
- Commercial experience with Apache Iceberg or similar lakehouse technologies
- Kubernetes and cloud-native engineering experience
- Strong Python and SQL skills
- Experience building scalable, production-grade data systems
- Ability to contribute to architecture decisions and platform strategy
- Comfortable working in greenfield and evolving environments


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- ClickHouse experience
- Apache Flink
- Debezium / CDC pipelines
- Data Mesh or Lakehouse implementations
- AI/ML platform experience
- Financial services, consumer technology or large-scale digital platform background
Why Join?
- Genuine greenfield engineering environment
- Modern technology stack
- High level of technical ownership
- Opportunity to influence architecture and engineering standards
- Work alongside experienced engineers solving complex distributed systems challenges
- Exposure to real-time analytics and AI-driven data initiatives
If you're an engineer who enjoys building platforms, solving complex technical problems and working with modern data technologies at scale, I'd love to speak with you
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location