Senior Data Engineer, hibrido

Jordan martorell s.l.; Madrid; Híbrido; COP 233.918.000 - 311.891.000; Jornada completa

Descripción de la vacante

A leading energy solutions provider seeks a Senior Data Engineer to enhance its Databricks Data Platform. You'll develop data products and manage data processing solutions, collaborating with a cross-functional team. The ideal candidate has over 4 years of relevant experience and is proficient in Python and SQL. This position offers health insurance, lunch vouchers, and opportunities for learning and development. Hybrid work model includes 2 days in the office.

Servicios

Lunch vouchers

Health insurance

Yearly Performance Bonus

LinkedIn Learning / Plural Sight

90% discount on the nearby gym

Flexible Schedule

23 days of holidays

Language lessons

Learning and development opportunities

Periodical travels to Switzerland

Formación

• Over 4 years of experience in implementing data solutions, especially with timeseries data.
• Proficient in creating ETL and ELT workflows.
• Experience with event-driven data processing.

Responsabilidades

• Develop data products within a centralized platform for diverse customers.
• Manage event-driven data processing and high-resolution timeseries data.
• Collaborate in agile setups to enhance data solutions.

Conocimientos

Python (pyspark, pandas)

SQL

Data Mesh concepts

English (Fluent)

German (Plus)

Educación

Bachelor's or master's degree in Engineering or Computer Science

Herramientas

Databricks

Azure Functions

Terraform

Power BI

Descripción del empleo

Senior Data Engineer

Join our dynamic team at Axpo, where you will play a crucial role in enhancing our Databricks Data Platform. As a Senior Data Engineer, you will shape our data landscape, ensuring quality and innovation in our data products. Your expertise will help us serve over 200,000 customers in the energy sector.

What you will do:

• Develop data products within a centralized platform for diverse customers.
• Create ETL and ELT workflows in Databricks, including DLT Pipelines.
• Manage event-driven data processing and high-resolution timeseries data.
• Establish a Data Mesh for efficient data product management.
• Oversee cloud resources for data orchestration and transformation.
• Collaborate in agile setups to enhance data solutions.

What you bring / who you are:

• Bachelor's or master's degree in Engineering, Computer Science, or a related field.
• Over 4 years of experience in implementing data solutions, especially with timeseries data.
• Proficient in Python (pyspark, pandas) and SQL, with knowledge of Databricks.
• Experience with Azure Functions, APIs, and Terraform for resource management.
• Familiarity with reporting tools like Power BI and concepts like Data Mesh.
• Fluent in English; German language skills are a plus.

About the team:

You will be part of a cross-functional team dedicated to transforming our data landscape. We value collaboration, innovation, and a commitment to excellence. Join us in making a difference in the energy sector by providing cutting-edge data solutions.

What we offer:

• Lunch vouchers
• Health insurance
• Yearly Performance Bonus
• LinkedIn Learning / Plural Sight
• 90% discount on the nearby gym
• Hybrid work with 2 days at office
• Flexible Schedule
• 23 days of holidays
• Language lessons
• Learning and development opportunities
• Periodical travels to Switzerland