As a Senior Data Engineer, you will design and maintain data pipelines, ensure data quality, and collaborate with teams to harmonize customer data across systems.
Who We Are
Massive Rocket is a high-growth Braze & Snowflake agency that has made significant strides in connecting digital marketing teams with product and engineering units. Founded just 5 years ago, we have experienced swift growth and are now at a crucial juncture, aspiring to reach $100M in revenue. Our focus is on delivering human experiences at scale, leveraging the latest in web, mobile, cloud, data, and AI technologies. We pride ourselves on innovation and the delivery of cutting-edge digital solutions.
Every role at Massive Rocket is Entrepreneurial - Successful people at Massive Rocket will not only think about their role but understand the roles around them, their goals and contribute to the success and growth of their team, customers and partners.
What We Offer
🚀 Fast-moving environment – you will never stop learning and growing
❤️ Supportive and positive work culture with an emphasis on our values
🌍 International presence – work with team members in Europe, the US, and around the globe
🪐 100% remote forever
🧗🏼♂️ Career progression paths and opportunities for promotion/advancement
🍕 Organized team events and outings
What we’re looking for
As a Senior Data Engineer, you will play a pivotal role in harmonizing customer data across various systems, ensuring flawless data integration and flow. You'll expertly handle event data, using cloud and sass solutions to transform and enrich these events for maximum impact.
Collaborate with dynamic teams to deliver amazing solutions to our clients. Your keen insight into industry trends and best practices will keep our customer data management at the cutting edge, driving innovation and excellence.
Elevate your career with us and be a catalyst for transformative customer experiences.
Responsibilities
1) Data Integration
Design, build, and maintain scalable data pipelines using mParticle and cloud platforms, ensuring seamless data ingestion, transformation, and synchronization across multiple systems.
Proactively monitor data flows, implement automated quality checks, and swiftly resolve issues to guarantee accuracy, consistency, and reliability of customer data
2) Collaboration and Support
Work closely with cross-functional teams, including data engineers, analysts, and marketing professionals, to align on data strategies and implementation.
Provide technical support and guidance to team members on best practices for data integration and event data management.
3) Data Quality
Establish and enforce robust data governance practices, including schema validation, event tracking standards, and privacy compliance (GDPR, CCPA).
Implement monitoring and alerting frameworks to detect anomalies early, driving continuous improvement in data accuracy and trustworthiness.
4) Cross-Functional Collaboration
Work closely with data engineers, analysts, and marketing teams to translate business needs into effective technical solutions.
Act as a trusted advisor for clients and colleagues, providing guidance on best practices for data integration, event enrichment, and scalable architectures.
5) Innovation Leadership
Stay ahead of industry trends by evaluating emerging tools, frameworks, and techniques to enhance data engineering practices.
Advocate for engineering excellence through CI/CD adoption, version control, and reusable frameworks while fostering knowledge sharing and technical mentorship within the team.
6) Performance Optimization
Continuously optimize data pipelines for speed, scalability, and cost efficiency.
Monitor cloud resource usage, implement tuning strategies, and ensure solutions are designed to handle high-volume, real-time event data without compromising performance.
Role Measures
- Number of successful data syncs
- Client satisfaction scores
- Timeliness of deliverables
- Feedback from clients on the impact of executed strategy based on data insights.
- Rate of Adoption of proposed solutions
- Client-objectives achieved as measured by the key KPIs set at the beginning of the project
- Positive feedback from team members on shared projects
- Achievement of client-defined KPIs as agreed on at the beginning of each project
- 100% of client engagement strategies are feasible and powered by the data stack.
Required Skills and Qualifications:
- 6+ years of experience as a Data Engineer or similar role
- 2+ years of experience working with Python
- 2+ years of experience working with one or more cloud platforms ( AWS, Azure or GCP)
- 2+ years of experience with mParticle
- Strong knowledge of data integration and syncing techniques.
- Experience working with event data and developing lambda functions.
- Experience working with Git and CI/CD tools.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience working in an agency setting or working with external clients
- English C1
Preferred Qualifications:
- Knowledge of data privacy and security best practices.
- Understanding of data analytics and visualization tools (e.g., Tableau, Power BI).
- Knowledge of Databricks, Kafka, Tealium Tag Manager
- Familiarity with customer engagement platforms like Braze, Salesforce Marketing Cloud, HubSpot or similar tools.
If you're ready to launch your career to new heights at a company fuelled by passion and innovation, we want to hear from you!
Top Skills
AWS
Azure
Braze
Ci/Cd
Databricks
GCP
Git
Hubspot
Kafka
Mparticle
Power BI
Python
Salesforce Marketing Cloud
Tableau
Tealium Tag Manager
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