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For Companies At a Glance
- Tasks: Transform data into clean products and support marketing insights for a leading nutrition brand.
- Company: Join Bulk, a dynamic brand shaking up the sports nutrition industry.
- Benefits: Enjoy a subsidised gym membership, discounts, flexible hours, and more!
- Why this job: Make a real impact on consumer data and help shape the future of nutrition.
- Qualifications: 1-2 years experience in SQL, Python, and cloud data engineering.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Bulk is on an incredible journey, with a mission to move the business from a manufacturing-led retailer to a destination brand for active nutrition. We are shaking up the sports nutrition industry through disruptive marketing campaigns that help people think differently about our brand – and we want you to be a part of it!
We want passionate risk-takers. We want people that like to challenge our thinking. We want people that live and breathe digital and have an affinity to the world of nutrition, health, fitness, and sports.
IN A NUTSHELL
As a Data Engineer in our Marketing Insights team, you will transform fragmented data into clean, reusable products across key domains like customer behavior, marketing, and product performance. You will help design scalable pipelines, build tools that enable teams to trust and activate data, and collaborate closely with Marketing, Product, and Analytics to drive Bulk’s growth.
We’re looking for a data engineer excited to shape the future of consumer data, from sourcing and modeling to delivery and analysis. Together, we set standards, champion quality, and build data products the business can rely on with confidence.
You’ll work on meaningful projects where data directly supports marketing, product decisions, and customer experience, while having the space to develop your skills beyond engineering – particularly in analytics, visualisation, and cross-functional presentation. As part of a collaborative and focused team, you’ll be supported in an environment that values clarity, ownership, and growth.
WHAT WILL YOU BE DOING?
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Data Pipeline Development
Design, build, and maintain batch and real-time data pipelines using tools like BigQuery, dbt, and Airflow.
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Monitor performance and reliability, and make improvements as needed.
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Data Integration
Ingest and integrate core business data sources (i.e. Adobe CDP, Emarsys, Magento, Paid Media platforms) to the central data warehouse (BigQuery).
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Support projects involving customer data unification, segmentation, and campaign data flow in Adobe CDP.
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Data Quality and Governance
Set up validation checks, resolve data quality issues, and maintain documentation.
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Partner with the System Architect to align on governance standards and best practices.
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Analytics and Visualisation Support
Collaborate with analysts and marketers to support Tableau dashboards and reporting.
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Contribute to analysis around customer segmentation, marketing performance, and other business needs.
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Collaborating with Teammates
Work closely with teams across the business to understand data needs and use cases.
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Help them access and interpret the data they need, while maintaining performance and reliability end-to-end.
WHAT ARE WE LOOKING FOR?
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Experience (1–2 years): Proficient in SQL, Python, and API development, with a solid understanding of data structures and transformations.
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Cloud & Data Engineering Skills: Experienced in data processing within cloud environments, preferably with exposure to Google Cloud Platform, dbt, and Airflow.
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Adaptable Problem-Solver: Comfortable navigating ambiguity, tackling loosely defined challenges, and thriving in autonomous team environments.
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Data Modeling: Strong data modeling capabilities and a product-oriented approach to treating data as a core asset.
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Growth-Oriented: Eager to further develop skills in Consumer analytics, reporting, and data visualization.
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Collaborator: Builds strong, positive relationships across both technical and business domains.
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Curiosity: An absolute must for any successful candidate. Ask questions, seek out opportunities, and don’t be afraid to take the initiative, roll up your sleeves, and solve problems yourself.
WHAT ARE THE GAINS?
- Monthly Bulk Bank Benefits Allowance including a subsidised Gym Membership
- A day off to celebrate your Birthday
- PerkBox Subscription
- 60% discount on all Bulk products
- Flexi Start
- Additional Annual Leave (optional)
- Teammate Pension Scheme
- Life Assurance
- Medicash
- A day off for Volunteering (optional)
- Cycle to Work Scheme
- Enhanced Maternity & Paternity leave and workplace nursery scheme
- Bulk Pantry
- Happy Hour Drinks Fridge (Thursdays & Fridays)
- Summer Working Hours
LOCATION: London
HYBRID: 3 days in the office, 2 days working from home
OUR COMMITMENT
Bulk is a place where employees have a voice fundamental to our success as a business. Building a diverse and inclusive team enables us to reach and connect with our global customers, from developing delicious recipes to how our brand is built and perceived.
Regardless of age, disability, race, gender, religion, sexual orientation, education, neurodiversity or any protected characteristic, if you are a passionate risk-taker and eager to make a difference in sports nutrition, we want to hear from you. We know that a CV doesn’t begin to scratch the surface, and that the things that make you who you are could be a real game-changer for us. We are proud to be an equal opportunities employer.
PRIVACY
Bulk takes your privacy seriously and will only use your personal information to administer your application for this role. When you apply, we shall process your details for this vacancy only and we will not pass your details onto a third party. We may contact you by email, text or telephone about the progress of your application. This processing is conducted lawfully on the basis of legitimate interests.
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Consumer Data Engineer London · employer: Bulk™
Contact Detail:
Bulk™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consumer Data Engineer London ·
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Bulk or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects that highlight your data engineering prowess, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the unexpected! Be ready to tackle some real-world problems during interviews. Brush up on your SQL and Python skills, and think about how you’d approach data challenges relevant to Bulk's mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Bulk team.
We think you need these skills to ace Consumer Data Engineer London ·
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data engineering and the world of nutrition shine through. We want to see that you’re not just ticking boxes but genuinely excited about the role and our mission at Bulk.
Tailor Your CV: Make sure your CV is tailored to highlight your experience with SQL, Python, and cloud environments. We love seeing how your skills align with what we’re looking for, so don’t be shy about showcasing relevant projects or achievements!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the Data Engineer role. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Bulk!
How to prepare for a job interview at Bulk™
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like BigQuery, dbt, and Airflow. Brush up on your SQL and Python skills, as these will likely come up during technical questions.
✨Show Your Problem-Solving Skills
Prepare to discuss how you've tackled ambiguous challenges in the past. Think of specific examples where you navigated through uncertainty and delivered results, as this aligns with what they’re looking for in a candidate.
✨Understand Their Business
Do your homework on Bulk and their mission to transform the sports nutrition industry. Familiarise yourself with their marketing strategies and how data plays a role in their decision-making process. This shows genuine interest and can set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your curiosity about the role and the company. Inquire about their data governance practices or how they measure the success of their marketing campaigns. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
