National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Junior Data Engineer

Harnham
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Role:Junior Data Engineer
Salary:£35,000 - £40,000 (up to £45,000 for the right candidate) + Discretionary Bonus
WFH:5 Days/Week Onsite - South Kensington, London

Overview

Our client is a fast-growing intelligence and analytics firm specialising in global shipping and commodities. Their research team transforms complex maritime data into actionable insight for brokers and clients, powering commercial decisions with high-precision analytics and visualisation.

They are now hiring aJunior Data Engineerto join their engineering and research team. This is a graduate-level opportunity with no prior industry experience required. You'll work side-by-side with experienced engineers and analysts on maintaining and modernising data infrastructure. The business is investing heavily in its platform over the next 12 months, offering significant career growth for curious and ambitious talent.

Key Responsibilities

  • Maintain and improve Python-based ETL pipelines (~60 currently in production)
  • Support the migration from on-premise to cloud-based SQL environments
  • Keep dashboards and reporting chartbooks (Power BI & PDFs) up to date
  • Implement basic data validation and quality controls
  • Manage version control and CI/CD workflows using Git
  • Contribute to internal documentation
  • Provide analytics support using Python when needed

Ideal Candidate

  • BSc inComputer Scienceor a closely related discipline (From Russell Group/Red Brick university)
  • Strong Python fundamentals
  • Basic SQL skills and familiarity with Git
  • Strong communicator, eager to learn, and naturally curious
  • Comfortable working across multiple business areas with varied responsibilities

Nice-to-Haves

  • Exposure to tools likePrefect,Airflow, orDagster
  • Familiarity withAzure SQL,Snowflake, ordbt

Tech Stack / Tools

  • Python
  • SQL (on-prem + Azure SQL Data Warehouse)
  • Git

Benefits

  • £35,000 - £40,000 starting salary (up to £45,000 for the right candidate)
  • Discretionary annual bonus
  • Clear progression path as part of a growing central data function
  • New South Kensington office with top-tier facilities
  • Work closely with senior analysts and engineers
  • Daily learning opportunities in a collaborative, high-trust environment
  • Exposure to a variety of real-world datasets and commercial applications

Interview Process

  1. Introductory Chat (30 mins)- Culture and motivation
  2. Final Interview (Onsite)- Show and tell of past work + discussion around the role


Desired Skills and Experience

Python, SQL, Git

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.