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Stealth iT Consulting

Data Engineer

United Kingdom
Posted about 19 hours ago
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Job Title: Data Engineer - SFIA 5

Rate: (Inside IR35)
Duration: 6 months
Location: Remote with occasional visits once a month in London
Clearance: BPSS
Stages: 1 Stage

Key Responsibilities

  • Build and maintain integrations with CDS source systems using REST APIs, webhooks and event streams.
  • Develop event-driven ingestion pipelines using AWS API Gateway, Lambda, EventBridge and SQS.
  • Implement reliable state and watermark tracking using DynamoDB.
  • Develop reconciliation mechanisms to identify and recover from missed or failed webhook deliveries without creating unnecessary polling load on source systems.
  • Onboard new source systems onto the platform's standard ingestion architecture as the CDS estate expands.
  • Integrate with enterprise platforms such as Confluence, JIRA and other collaboration/ITSM systems where required.
  • Undertake data migration and backfill activities, including using technologies such as AWS Database Migration Service (DMS).
  • Develop and maintain Python-based integration and data pipeline components.
  • Work closely with Knowledge Engineers to ensure ingested data has the required quality, structure and metadata for downstream graph population and AI use cases.
  • Implement monitoring, logging, error handling and alerting to maintain high levels of integration reliability.
  • Investigate and resolve data ingestion failures and integration issues.
  • Contribute to the development and continuous improvement of the platform's ingestion patterns, standards and engineering practices.
  • Ensure solutions meet appropriate enterprise security, governance and regulatory requirements.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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.

Mandatory Skills & Experience

Core Engineering

  • Strong experience in Data Engineering/Data Integration.
  • Proven experience building integrations against source-system APIs, including:
    • REST APIs
    • Webhooks
    • Event streams
  • Strong Python development experience for data pipelines and integrations.
  • Experience designing and implementing event-driven ingestion architectures.
  • Hands-on AWS experience, particularly:
    • API Gateway
    • Lambda
    • EventBridge
    • SQS
    • DynamoDB
  • Experience implementing state management, watermarking and reconciliation patterns.
  • Experience identifying and recovering from data delivery gaps and integration failures.
  • Practical experience with data migration and backfill, ideally using AWS DMS or equivalent technologies.
  • Experience working with multiple source systems and onboarding new data sources into an enterprise data platform.

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Data Reliability

  • Understanding of data quality, completeness and consistency.
  • Experience implementing monitoring, logging and alerting for data pipelines.
  • Ability to design resilient integrations with appropriate retry, failure handling and recovery mechanisms.
  • Understanding of idempotency and reliable event processing.
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Skills

Data Engineering
Python
AWS API Gateway
AWS Lambda
AWS EventBridge
AWS SQS
AWS DynamoDB
REST APIs
Webhooks
Event-driven Architecture
AWS DMS
Data Integration
State Management
Watermarking
Data Migration
Monitoring and Logging

Location

United Kingdom

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