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Data Engineer

Bounce Digital

Greater London

Hybrid

GBP 40,000 - 70,000

Full time

Yesterday
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Job summary

A leading tech-for-good company is hiring a Data Engineer to join their Data & AI team. This foundational role involves building data pipelines, reporting systems, and developing predictive models to drive social and environmental impact. You'll work closely with leadership and have opportunities for growth in AI-focused projects.

Benefits

Work directly with leadership
Shape the data platform from day one
Drive core business outcomes

Qualifications

  • Strong SQL & Python (PySpark) skills required.
  • Experience with modern ETL tools like dbt, Airflow, Fivetran.
  • Background in a quantitative field; AI/ML interest a plus.

Responsibilities

  • Build automated ETL pipelines (Bronze-Silver-Gold architecture).
  • Develop dashboards and reporting in Looker or Power BI.
  • Ingest and clean data from internal and external sources.

Skills

SQL
Python
Data Ingestion
Data Cleaning
ETL

Education

Degree in a quantitative field

Tools

Looker
Power BI
GCP
AWS
dbt
Airflow
Fivetran

Job description

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This range is provided by Bounce Digital. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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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
Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology and Engineering
  • Industries
    Staffing and Recruiting, Transportation, Logistics, Supply Chain and Storage, and Manufacturing

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