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TechNET IT Recruitment Ltd

Junior Data Engineer

London
Posted about 22 hours ago
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Junior Data Engineer

Location: UK-based, hybrid working

Security Clearance: BPSS or SC clearance Required

Working Style: Agile, product-led delivery

We are looking for a Junior Data Engineer to support the design, build and operation of scalable data platforms for digital services.

Working as part of a multidisciplinary agile team, you will support senior engineers in developing data pipelines, managing data stores, improving data quality and helping ensure data is secure, reliable and available in line with DDaT standards and best practice.

Role Responsibilities

  • Support the development and maintenance of batch and streaming data pipelines, including exposure to Kafka and cloud-native data services.
  • Work with relational databases such as AWS Aurora PostgreSQL, writing and optimising SQL queries for reporting, analytics and operational use cases.
  • Support containerised data workloads using Docker and gain exposure to deployments on Kubernetes platforms.
  • Assist with data modelling and data warehouse structures, including logical and physical data models and star/snowflake schema concepts.
  • Support data validation, reconciliation and monitoring to ensure data assets are accurate, reliable and fit for use.
  • Help integrate data from internal and external systems via REST APIs, working with JSON payloads, authentication, pagination and basic error handling.

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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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.

Essential Skills

  • Strong SQL fundamentals, including joins, aggregations and subqueries
  • Understanding of ETL / ELT concepts and data pipelines
  • Exposure to Apache Kafka or similar streaming platforms
  • Basic knowledge of AWS services, particularly managed databases
  • Awareness of Docker and Kubernetes concepts
  • Understanding of REST APIs, HTTP methods and JSON payloads
  • Ability to consume data from APIs as part of a data pipeline
  • Good problem-solving skills and ability to troubleshoot basic data issues

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Desirable Skills

  • Experience with AWS Aurora PostgreSQL
  • Basic understanding of data modelling techniques
  • Familiarity with data warehousing concepts
  • Experience integrating third-party or internal APIs
  • Familiarity with Swagger / OpenAPI
  • Awareness of API security, including tokens, API keys and OAuth
  • Exposure to Git
  • Understanding of Agile delivery principles

Experience Required

  • 3+ years’ experience in data engineering, analytics or software engineering
  • Exposure to cloud data platforms in a delivery environment
  • Comfortable working in an agile, multidisciplinary team
  • Willingness to learn under the guidance of senior engineers

This is a strong opportunity for a developing Data Engineer to build hands-on experience across cloud data platforms, streaming, APIs, SQL, containers and modern digital delivery environments.

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Skills

SQL
ETL
ELT
Apache Kafka
AWS
Docker
Kubernetes
REST APIs
JSON
Data Modelling
Data Warehousing
Problem-Solving
Data Validation
Data Reconciliation
Agile
Git

Location

London, England, United Kingdom

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