Bright Junior Data Engineers x 2 | London | SaaS Data Platform

Holborn and Covent Garden
9 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist London, United Kingdom

Remote Fixed-Income Data Engineer | Flexible Hours

Fixed Income Data Engineer

Fixed Incomes Data Engineer

Data Engineer

Bright Junior Data Engineers required x 2 | London | SaaS based Data Platform |

Avanti Recruitment is working with a rapidly growing software house who makes a SaaS based Data Platform for their customers. They are looking for 2x Junior Data Engineers to help build, run, and optimise the data pipelines for their platform products. They transform complex data into actionable intelligence for clients across Finance, Retail, Travel, Telco, and Healthcare sectors.

About the role:

  • Build and manage structured ETL pipelines across staging, operational, and analytical data layers

  • Apply consistent naming, schema controls, and field-level lineage

  • Support CI/CD using Git-based workflows and automation tools

  • Help integrate ML outputs into core data layers

  • Monitor data processes and implement alerting systems

    Technology stack:

  • Cloud Platforms: Azure (primary), AWS, GCP, Databricks

  • Data Tools: SQL (essential), Python, versioned metadata frameworks

  • DevOps: Git, CI/CD pipelines, automated deployment

    What they're looking for:

  • First-class STEM degree from a prestigious university

  • 1-2 years in a Data Engineering or Platform role

  • Strong SQL skills (SQL assessment is part of the interview process)

  • Experience with cloud computing platforms

  • Ability to optimize code for large-scale, high-volume datasets

    Company highlights:

  • Joining a team of 5 which is expanding rapidly with 4 more hires.

  • Their software is deployed with customers in the UK, Germany, France, and Ireland

    Career progression:

  • Exposure to multiple cloud technologies and platforms

  • Work with a variety of clients across different industries

  • Great opportunities for career progression

    Interview process:

  • Short SQL technical exercise to complete at home

  • Two stage technical interview process.

    APPLY TODAY FOR IMMEDIATE CONSIDERATION

    Target Salary: £45,000 (applications considered from £40,000 - £50,000) + benefits

    Location: Central London – Hybrid working

    Duration Permanent

    N.B. They do not offer visa sponsorship and won’t consider those on short term visas

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.