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

Nominate & Attend

▷ [Immediate Start] Data Engineer...

Bounce Digital
City of London
1 day ago
Create job alert

Job Description

NO SPONSORSHIP OPTION

Title: AI & Data Platform Engineer

Salary/Package: £50k-£60k

Company Sector: Techforgood (Sustainability)

WFH / Hybrid: 2 days a week on site (East London)

Bounce are excited to partner with a customer we helped secure a Lead Data Engineer earlier this year, he's now looking for his first hire to join him!

Our customer (recently Series A funded) are a fast-growing business focused on sourcing, refurbishing, and reselling IT devices to create real social and environmental impact.

We're hiring a foundational member of the Data & AI team to build the early infrastructure powering smarter pricing, faster sales, and more efficient operations. You'll start by owning data pipelines, reporting, and validation systems and grow into developing predictive models, pricing engines, and decision automation tools.

What You’ll Do (First 3–6 Months)

  • Build automated ETL pipelines (Bronze-Silver-Gold architecture)
  • Develop dashboards and reporting in Looker or Power BI
  • Ingest and clean data from internal (Odoo/PostgreSQL) and external (eBay APIs) sources
  • Define data quality rules, set up monitoring/logging, and support architecture decisions

    What You Bring

  • Strong SQL & Python (PySpark); hands-on with GCP or AWS
  • Experience with modern ETL tools (dbt, Airflow, Fivetran)
  • BI experience (Looker, Power BI, Metabase); Git and basic CI/CD exposure
  • Background in a quantitative field; AI/ML interest a plus
  • Bonus: Experience in manufacturing/logistics environments

    Growth Path

  • Evolve into AI-focused work: ML models, LLM copilots, real-time analytics
  • Choose your track — AI engineer, data analyst, or architect

    Why Join

  • Shape our data platform from day one
  • Work directly with leadership and across teams
  • Drive core business outcomes — not vanity projects
  • Be part of a small team using AI for commercial and social impact

Related Jobs

View all jobs

▷ Immediate Start: Data Engineer...

▷ Immediate Start: Data Architect...

▷ Immediate Start: Data Architect...

▷ (Immediate Start) Data Architect MDM...

▷ (Immediate Start) Data Scientist...

▷ Immediate Start! Data Architect (DV Security Clearance)...

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.