Offer summary

Qualifications:

Experience with cloud platforms such as Azure, GCP, or AWS., Proficiency in data services like BigQuery, Microsoft Fabric, and Databricks., Strong background in data modeling and infrastructure management., Familiarity with infrastructure as code tools like Terraform and CDKTF..

Key responsibilities:

Develop and deploy data platforms in customer cloud environments.

Maintain a library of data models and ensure data quality through CI/CD processes.

Define and implement data pipelines and APIs for real-time data integration.

Collaborate with analytics and full-stack engineers to enhance product functionality.

Job description

About RocketX

Scale-ups are built on a technology, unique product, and deep understanding of the domain. But how to accelerate growth, or stay ahead of competition? At RocketX, we believe that scaling a business goes beyond just growth. We bring data and technology into the sales journey with unique and deep data insights and actionable go-to-market plans. RocketX is trusted by over 200 of the fastest growing companies in Europe. We accelerate these exceptional scale-ups, creating a truly scalable and sustainable revenue engine.

If you are passionate about making a lasting impact in the dynamic world of scale-ups, then RocketX is the place for you.

What you’ll be doing

We are looking for a highly motivated Lead Data Engineer to drive the development of our cutting-edge revenue intelligence platform designed for scale-ups, providing them with comprehensive insights into their business operations.

Key responsibilities

Data platforms & pipelines. Develop templates to quickly deploy a data platform in the customer’s cloud environment (Azure, GCP, AWS) using cloud native data services ( BigQuery, Microsoft Fabric, Databricks, DuckDB, etc.) and infrastructure as code (Terraform, CDKTF).
Data modeling infrastructure. Setup and maintain infrastructure to create a comprehensive library of data models for different sources and actionable insights. Setup CI/CD, data testing, lineage, data documentation, and access control.
Product pipelines. Bring real-time data to our flagship product, defining data pipelines, APIs, working closely with our analytics engineers and full-stack engineers.

Required profile