Cognify Search
Principal Data Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior / Lead Data Engineer
Build a Modern Cloud Data Platform
HealthTech
London / Hybrid
I’m working with an ambitious and rapidly growing HealthTech business that is tackling one of the most important challenges in modern healthcare.
Their technology is already supporting hundreds of healthcare providers and helping improve outcomes for millions of patients. As the business continues to scale, data is becoming increasingly central to everything they do.
They are now looking to hire their first dedicated Senior Data Engineer.
This is a fantastic opportunity for someone who wants to go beyond simply building pipelines.
You’ll play a key role in designing and building a modern cloud data platform from the ground up, acting as the technical lead for Data Engineering and taking ownership of the architecture, strategy and long-term direction of the platform.
The Role
You’ll be joining at a pivotal point in the company’s growth.
The existing data estate has evolved alongside the business, with data coming from a mixture of operational systems, APIs, third-party platforms and file-based sources. Your role will be to help transform this into a clean, scalable, centralised and well-governed modern data platform that can support analytics, product development and the wider business as it grows.
This is a highly hands-on position, but it also requires a high level of design, architecture and strategic thinking. You’ll be responsible for:
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.
- Designing and building a modern cloud-based data platform
- Acting as the technical lead and owner for Data Engineering
- Defining the architecture and long-term data strategy
- Building scalable data pipelines and ingestion frameworks using Python
- Designing and evolving the organisation's warehouse / lakehouse architecture
- Working across a modern cloud environment, primarily AWS
- Building robust transformation workflows using dbt
- Improving orchestration, testing, deployment and developer experience
- Introducing strong data quality, monitoring and observability practices
- Implementing infrastructure-as-code and treating data infrastructure like software
- Establishing appropriate governance, security and access controls
- Working closely with Engineering, Product and Analytics teams
- Providing technical leadership, mentorship and guidance around engineering best practice
🔎 What They're Looking For
This would suit someone who has strong hands-on Data Engineering experience but is also comfortable stepping back and asking: "What should this platform look like in 3–5 years, and how do we get there?"
You should have experience with:
- Strong Python and SQL
- Designing and building production-grade data pipelines
- AWS or another major cloud platform
- Modern data warehouses or lakehouse technologies such as Redshift, Snowflake, Databricks or BigQuery
- dbt and modern transformation practices
- Orchestration tools such as Airflow, Dagster or equivalent
- Infrastructure as Code, ideally Terraform, CloudFormation or CDK
- Data architecture and platform design
- Data quality, monitoring and observability
- Data governance, security and access controls


Get help with your application
Your very own career expert that helps elevate your application to the next level.
The ideal person will have experienced a business or platform going through significant growth and will understand the challenges that arise when early-stage data infrastructure starts to reach its limits.
You’ll be comfortable making architectural decisions, influencing stakeholders and balancing immediate business requirements with the longer-term data strategy.
Particularly Interesting Backgrounds
Experience within any of the following would be highly beneficial:
- High-growth technology companies or startups
- Building or significantly redesigning a cloud data platform
- Being an early or first Data Engineer within a business
- Platform Engineering or Data Platform environments
- Highly regulated industries such as healthcare, financial services or similar
- ISO 27001, GDPR or broader data security and governance environments
This is a rare opportunity to take genuine ownership of a company's Data Engineering function and play a central role in shaping how its technology and data capabilities evolve.
If you're a Senior or Lead Data Engineer who enjoys being hands-on but also wants the opportunity to influence architecture, platform design and data strategy, please get in touch
“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