As a Data Engineer at Massive Rocket, you will design and implement data solutions using Databricks, manage data transformations, optimize performance, and collaborate with teams to drive business insights.
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
🍕 Organised team events and outings
What we’re looking for
As a Data Engineer (Databricks), you will lead the charge in crafting innovative, high-performance data solutions on Databricks's cutting-edge cloud platform. Collaborating with diverse, cross-functional teams, you'll uncover opportunities to harness data, driving impactful business insights and strategic decisions.
In this role, you’ll manage vast datasets, execute intricate data transformations, and design robust data models. Your expertise will ensure our data solutions are not only efficient but also at the forefront of industry advancements. Stay ahead of the curve by integrating the latest trends and best practices into our dynamic data ecosystem.
Elevate your career with us and make a significant impact through the power of data.
Responsibilities
Data Solution Design and Implementation
• Setting up and maintaining ETL pipelines in the Databricks environment across a variety of architectures (real-time and batch, internal/external storage systems, dynamic tables, tasks).
• Implement Databricks solutions that integrate seamlessly with existing data architecture.
• Optimize the performance of Databricks databases, including designing and implementing data structures and using indexes appropriately
• Deploying and configuring tools to monitor and report on the performance of the Databricks system
• Ensure data quality and integrity across all Databricks data solutions (QA process, Unit Tests…)
Data Analysis and Storytelling
• Use large datasets and a variety of analytical techniques to tell compelling stories with the data in an easy-to-understand manner.
• Translate complex data analyses into actionable insights and recommendations for business stakeholders.
Collaboration and Support
• Collaborate with data engineers, analysts, and other stakeholders to ensure alignment on data strategy and implementation.
• Provide technical support and guidance to team members on Databricks best practices and optimization techniques.
• Support customers in leveraging unused features of the Databricks platform that can either provide efficiencies or cost-savings across the stack.
Required Skills & Qualifications
• 4+ years of working as Data Engineer with Databricks or in a similar role.
• 4+ years of experience in SQL and data modeling and ETL processes.
• 2+ years of experience of working with Python
• Experience with Databricks features: Unified Analytics Platform, Delta Lake, Job Scheduling & Workflows, PySpark, MLflow, Databricks SQL, Unity Catalog etc.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data integration 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 experience working with external clients.
• English C1
Preferred Qualifications:
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Understanding of data governance and security best practices.
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!
Note: Please ensure that your qualifications closely match the criteria outlined in the job description. Applications not meeting the specified criteria may not be processed or considered for this position.
Top Skills
AWS
Azure
Databricks
Databricks Sql
GCP
Mlflow
Power BI
Pyspark
Python
SQL
Tableau
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