Luxembourg Job Openings

emma - home of multicloud

Lead Data Engineer (Luxembourg or Remote)

FULL TIME

September 30, 2024

About us
At emma, we're building the world's best cloud infrastructure management platform. Our mission is to make cloud resources a commodity, just as electricity, or internet access. To do so, we grow a team of talented, committed professionals working together to to advance how people interact with technology. emma manages multicloud virtual environments in a cloud-agnostic user-friendly manner. We believe that will eventually become how most engineers build their infrastructure - fast, easy, and leaving free time for actual creative tasks.
emma takes care of managing virtual computing power, controls resources statuses, integrates into networks, provides predictive analytics and insights of resource usage broken down by funds spent, manages budgets and teams, automatically deploys software, performs cross-provider infrastructure migration, manages backups, and more. There is a lot emma does, but we've got even more in store for the platform's development, and that is why we are expanding our team: to advance even faster.
Position
As a lead data engineer, you're responsible for architecting, building, and maintaining solutions that supply emma clients with all the necessary analytics data. The data includes regular analytic charts and dashboards, detailed and granular raw information, statistical information, logs and alerts, extrapolated resource usage cross-matched with cloud costs, as well as auto-generated insights and recommendations. emma empowers its clients to build cost-effective infrastructure on any cloud, mitigating vendor lock-in, and your job is to provide all the data to keep such multi-cloud infrastructure optimized.
Responsibilities

Manage large data volumes and ensure a seamless data flow
Design, develop, and optimize ETL processes using Kafka, Airflow, and Click House
Oversee and maintain the health of the DWH cluster in Click House, including node management and scaling
Process, verify, load, and ensure data quality and consistency across databases
Administer the DWH and prepare data for user dashboards and training machine learning models

Your qualification

From five years upwards commercial experience with data warehousing and ETL processes
Minimum of two years of experience working with Click House as a data engineer, architect, or DBA
Experience of using Kafka as the data source
Hands-on experience of building and maintaining ETL pipelines by using Airflow

Your expertise and contributions will play a vital role in advancing emma's mission to revolutionize not just cloud infrastructure management, but also the fundamental way engineers interact with cloud technology. We look forward to receiving your application.
Job Type: Full-time
Experience:

working with datawarehouses: 5 years (Required)
Click House: 2 years (Required)
Airflow: 1 year (Required)

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