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- Tasks: Transform data into actionable insights and support marketing strategies.
- Company: Join Bulk™, a dynamic brand shaking up the sports nutrition industry.
- Benefits: Enjoy a flexible work environment, gym membership, and discounts on products.
- Why this job: Make a real impact in consumer data while developing your skills in a collaborative team.
- Qualifications: 1-2 years experience in SQL, Python, and cloud data engineering.
- Other info: Hybrid working model with opportunities for personal growth and community involvement.
The predicted salary is between 36000 - 60000 £ per year.
Get AI-powered advice on this job and more exclusive features.
#TEAMBULK ARE HIRING A CONSUMER DATA ENGINEER
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?
Data Pipeline Development
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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.
Data Integration
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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.
Data Quality and Governance
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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.
Analytics and Visualisation Support
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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.
Collaborating with Teammates
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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 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.
#J-18808-Ljbffr
Consumer Data Analyst employer: Bulk™
Contact Detail:
Bulk™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consumer Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their mission and values, especially how they relate to consumer data. This will help you tailor your answers and show you're genuinely interested.
✨Tip Number 3
Practice your technical skills! Brush up on SQL, Python, and any tools mentioned in the job description. Being able to demonstrate your expertise during technical interviews can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing passionate risk-takers who are eager to join our team!
We think you need these skills to ace Consumer Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Consumer Data Analyst role. Highlight your experience with SQL, Python, and any cloud platforms you've worked with. We want to see how your skills align with our mission at Bulk™!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for data and sports nutrition. Share why you’re excited about this role and how you can contribute to our team. Let your personality shine through!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your data pipeline development and analytics skills. We love seeing real examples of your expertise.
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 on joining the Bulk™ family!
How to prepare for a job interview at Bulk™
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like BigQuery, dbt, and Airflow. Be ready to discuss your experience with these platforms and how you've used them to build data pipelines or solve data quality issues.
✨Show Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous challenges in previous roles. Highlight your adaptability and how you approached loosely defined problems, as this is crucial for a role that thrives on innovation and risk-taking.
✨Understand the Business Context
Research Bulk™ and its mission in the sports nutrition industry. Be prepared to discuss how your data engineering skills can directly support marketing and product decisions, showing that you understand the bigger picture.
✨Ask Insightful Questions
During the interview, ask questions that demonstrate your curiosity and eagerness to learn. Inquire about the team dynamics, data governance standards, and how success is measured in the role. This shows you're not just interested in the job, but also in contributing to the team's growth.
