Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Data Engineer transforming fragmented data into clean, reusable products for Bulk's marketing insights team. Collaborating with teams to design scalable pipelines and support analytics-driven decisions.
Responsibilities
- Data Pipeline Development: Design, build, and maintain batch and real-time data pipelines using tools like BigQuery, dbt, and Airflow. Monitor performance and reliability, and make improvements as needed.
- Data Integration: Ingest and integrate core business data sources (i.e. Adobe CDP, Emarsys, Magento, Paid Media platforms) to the central data warehouse (BigQuery). Support projects involving customer data unification, segmentation, and campaign data flow in Adobe CDP.
- Data Quality and Governance: Set up validation checks, resolve data quality issues, and maintain documentation. Partner with the System Architect to align on governance standards and best practices.
- Analytics and Visualisation Support: Collaborate with analysts and marketers to support Tableau dashboards and reporting. Contribute to analysis around customer segmentation, marketing performance, and other business needs.
- Collaborating with Teammates: Work closely with teams across the business to understand data needs and use cases. Help them access and interpret the data they need, while maintaining performance and reliability end-to-end.
Requirements
- Experience (1–2 years): Proficient in SQL, Python, and API development, with a solid understanding of data structures and transformations.
- Cloud & Data Engineering Skills: Experienced in data processing within cloud environments, preferably with exposure to Google Cloud Platform, dbt, and Airflow.
- Adaptable Problem-Solver: Comfortable navigating ambiguity, tackling loosely defined challenges, and thriving in autonomous team environments.
- Data Modeling: Strong data modeling capabilities and a product-oriented approach to treating data as a core asset.
- Growth-Oriented: Eager to further develop skills in Consumer analytics, reporting, and data visualization.
- Collaborator: Builds strong, positive relationships across both technical and business domains.
- 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.
Benefits
- 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 🌞
Job title
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