Plumstead Consulting
Data Engineer

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Are you passionate about data and eager to advance your career in a dynamic environment? Join our client as a Data Engineer and drive the growth and efficiency of the Data Warehouse and Data Pipelines alongside a talented team. This role is perfect for a motivated individual looking to impact and grow within a forward-thinking company.
If you have a passion for data and a drive to excel, this could be the ideal next step in your career.
Professional Growth
- Gain hands-on experience in data modelling and technical problem-solving.
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.
Innovative Environment
- Engage in cutting-edge data integration projects.


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Supportive Team
- Work within a collaborative and creative team.
Impactful Work
- Enhance the company data processes and infrastructure capabilities.
Key Area of Responsibilities
- Data Stack Monitoring: Ensure seamless data operations.
- Data Modelling: Design and modify data models using dbt Core and VS Code.
- Data Source Integration: Integrate new data sources into the Data Pipeline and Data Warehouse.
Essential Skills and Experience
- SQL: Proficiency in PostgreSQL or Snowflake SQL.
- dbt Experience: Preferably with dbt Core.
- Business Process Modelling: Using SQL in dbt.
- Version Control: Familiarity with Git.
- Cloud Data Warehouse: Understanding concepts and design.
- API Knowledge: Proficiency with SOAP, REST APIs, JSON, and YAML.
- Basic Python: For data retrieval and manipulation.
- CI/CD: Familiarity with Bitbucket Pipelines.
- Snowflake, Fivetran, AWS S3, and Lambda: Experience is advantageous.
“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
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