Anson McCade
Data Engineer – DV Cleared

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Associate Manager Data Engineer – DV Cleared
Location: London / Outer London (hybrid - 3 days on-site)
Salary: Up to £90,000 London / £83,000 Outer London
Clearance: Active DV Clearance required
We are supporting a leading technology and consulting organisation in the appointment of two Associate Manager Data Engineers to work on high-profile, technically complex programmes. This is an excellent opportunity for experienced Data Engineers who enjoy working across modern data platforms, solving complex technical challenges and taking ownership of delivery within collaborative engineering teams.
The Role
You will be responsible for designing, developing and improving scalable data solutions, working across data engineering, cloud technologies and modern software engineering practices. You will have the opportunity to work with large-scale datasets and contribute to the development of robust data platforms and pipelines.
Key responsibilities include:
- Designing, developing and re-engineering scalable, robust and repeatable data pipelines
- Building and orchestrating ETL/ELT pipelines using both batch and streaming technologies
- Working with large-scale datasets and developing efficient data transformation processes
- Defining and maintaining data mappings in line with data modelling principles
- Building data structures, metadata, dependencies and workload management processes
- Identifying and resolving data quality, mapping, database and application issues
- Connecting operational systems with analytics and business intelligence platforms
- Developing and maintaining high-quality production code, documentation and automated testing
- Working with cloud-based data platforms across AWS, Azure or GCP
- Contributing to the deployment and monitoring of machine learning models where required
- Working within Agile/Scrum teams and contributing to sprint planning, delivery and technical discussions
- Providing technical leadership, supporting team members and contributing to key technical decisions
- Working closely with stakeholders to understand requirements and translate them into effective technical solutions
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.
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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.
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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.
Key Skills & Experience
- Strong commercial experience in Data Engineering
- Strong proficiency in Python
- Extensive experience working with AWS, Azure or GCP
- Strong experience developing ETL/ELT pipelines
- Experience with data warehousing and data lake architectures
- Strong SQL experience, with exposure to NoSQL databases
- Experience with distributed computing technologies such as Spark or Kinesis
- Understanding of software engineering best practices including CI/CD, TDD and version control
- Experience with Docker and/or Kubernetes
- Experience with Infrastructure as Code, ideally Terraform or CloudFormation
- Strong understanding of data modelling and system architecture
- Experience working on AI/ML projects would be advantageous
- Previous experience providing technical leadership, mentoring or making technical decisions
- Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Experience working directly with clients or external partners


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Security Clearance
Due to the nature of the programmes, active DV clearance is essential for these positions. Candidates must be able to maintain the required level of UK security clearance.
If you are an experienced Data Engineer looking for a senior opportunity where you can combine hands-on engineering with technical leadership and work on complex, high-impact programmes, we would be keen to hear from you.
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