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Montash

Apache Data Engineer (SC Cleared)

England
Posted about 14 hours ago
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Job Title: Apache Data Engineer

Location: Hybrid (up to 3 days per week on-site, across offices in London & South England)

Contract Length: 6 Months (with scope to extend)

Start Date: ASAP

IR35: Outside

Interview Process: 1 Stage, MS Teams

Clearance Required Before Applying: SC (with eligibility for higher levels of clearance)

Our client in the public sector is hiring for an "Apache Data Engineer". The successful candidate will join a defence programme delivering a data Lakehouse architecture across AWS and 'on premises' infrastructure. The role sits within a collaborative engineering team working in agile sprints. It focuses on building secure, performant, well-labelled data pipelines from source systems into the Lakehouse.

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?

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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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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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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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Key Responsibilities

  • Design and build data pipelines and ETL processes into a Lakehouse architecture across cloud (AWS) and on premises platforms
  • Implement change data capture and event-driven patterns to ingest data from source systems
  • Develop data models for the pipeline layer
  • Handle non-functional requirements including security, performance and metadata labelling
  • Write unit and integration tests for pipeline components
  • Work within a defined SDLC using Git-based CI/CD tooling
  • Contribute to sprint delivery as part of an integrated development team

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Required Skills

  • Experience building data pipelines within Lakehouse architectures
  • Comfortable with Apache tooling, for data engineering work
  • Experience with event sourcing, change data capture and event-driven architectures
  • Java and/or Groovy, with a solid grasp of object-oriented design principles
  • Experience working in an SDLC with an integrated team on CI/CD tooling (Git)

Nice-to-have

  • Apache NiFi
  • AWS, particularly EMR, S3 and SQS
  • Awareness of domain-driven design
  • Linux and scripting
  • Postgres or PL/SQL
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Location

England, United Kingdom

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