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For Companies At a Glance
- Tasks: Build data pipelines and develop predictive models to enhance operations.
- Company: Join a fast-growing tech-for-good company focused on sustainability and social impact.
- Benefits: Enjoy hybrid work options and the chance to shape your career path.
- Why this job: Be a foundational member of a team driving real change through AI and data.
- Qualifications: Strong SQL & Python skills, experience with ETL tools, and a background in a quantitative field.
- Other info: Opportunity to evolve into AI-focused roles and work directly with leadership.
The predicted salary is between 43000 - 67000 £ per year.
Salary/Package: £50k-£60k
Company Sector: Tech for good (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
Data Engineer (Greater London) employer: Bounce Digital
Contact Detail:
Bounce Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Greater London)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL, Python, and modern ETL tools such as dbt and Airflow. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with professionals in the tech-for-good sector, especially those involved in sustainability and data engineering. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss how your previous experiences align with building data pipelines and reporting systems. Be ready to share specific examples of how you've tackled similar challenges in past roles.
✨Tip Number 4
Show your enthusiasm for the company's mission by researching their impact in the sustainability space. Being able to articulate why you're passionate about their work can make a strong impression during interviews.
We think you need these skills to ace Data Engineer (Greater London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, Python, and ETL tools. Emphasise any projects or roles that demonstrate your ability to build data pipelines and work with BI tools like Looker or Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sustainability and how your skills can contribute to the company's mission. Mention specific experiences that align with the job description, such as working with GCP or AWS, and your interest in AI/ML.
Showcase Relevant Projects: If you have worked on any projects related to data pipelines, reporting, or predictive modelling, include them in your application. Provide links to your GitHub or portfolio if applicable, as this can demonstrate your hands-on experience.
Highlight Soft Skills: Don't forget to mention soft skills that are important for the role, such as teamwork, communication, and problem-solving. Since you'll be working closely with leadership and across teams, showcasing these skills can set you apart from other candidates.
How to prepare for a job interview at Bounce Digital
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and any ETL tools you've used. Be prepared to discuss specific projects where you built data pipelines or dashboards, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Research the company’s focus on sustainability and social impact. Be ready to explain how your values align with theirs and how you can contribute to their mission of creating a positive environmental impact through technology.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to data quality and pipeline issues. Think of examples from your past experiences where you successfully tackled challenges in data management.
✨Ask Insightful Questions
Prepare thoughtful questions about the team structure, the technologies they use, and the future direction of their data platform. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
