Bright Data Engineer Needed | London | SaaS | 1st Class STEM Degree

Holborn and Covent Garden
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Engineer | Wolves FC

Fixed Income Data Engineer

Remote Fixed Income Data Engineer - Bond Data Pipelines

Graduate Data Engineer

Data Engineer

Bright Data Engineer Needed | London | SaaS based Data Platform | 1st Class STEM Degree

Avanti Recruitment is working with a rapidly growing software house who makes a SaaS based Data Platform for their customers. They are looking for a bright Mid-level Data Engineer with a 1st Class STEM degree from a top university 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

  • 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: £55,000 (applications considered from £50,000 - £60,000) + 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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.