Senior Data Analytics Engineer

Wallbox Chargers, S.L.; Barcelona; Híbrido; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative company is seeking a skilled Data Analytics Engineer to enhance its data infrastructure. In this pivotal role, you will collaborate with data analysts and business stakeholders to ensure data reliability, enabling effective decision-making. Your expertise in dbt, Snowflake, Databricks, SQL, Airflow, and Python will be essential in optimizing data workflows and analytical processes. This position offers a dynamic environment where your contributions will significantly impact the organization's data-driven strategies. If you are passionate about data engineering and eager to drive improvements, this opportunity is perfect for you.

Servicios

Flexible working hours

Hybrid work schedule

Private health insurance

Flexible compensation tickets

Stock purchase plan

Unlimited LinkedIn access

Car discounts for EVs

Discounted canteen meals

Formación

• 6+ years of experience in data engineering or analytics roles.
• Proficiency in dbt, Snowflake, Databricks, SQL, and Python.

Responsabilidades

• Develop and maintain data models using dbt for accuracy.
• Manage and optimize Snowflake and Databricks for data warehousing.

Conocimientos

Data Engineering

SQL

Python

Data Modeling

ETL/ELT Processes

Data Warehousing

Problem-Solving

Educación

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Bachelor’s degree in Engineering

Herramientas

dbt

Snowflake

Databricks

Airflow

Descripción del empleo

As a Data Analytics Engineer, you will play a pivotal role in designing, building, and maintaining our data infrastructure. You will collaborate with data analysts and business stakeholders to ensure the availability and reliability of data, enabling effective decision-making across the organisation. Your expertise in dbt, Snowflake, Databricks, SQL, Airflow, and Python will be crucial in optimising our data workflows and analytical processes.

Key Responsibilities:

• Data Modeling and Transformation:
  • Develop and maintain data models using dbt (data build tool) to ensure data accuracy and consistency.
  • Design, build, and optimise ETL/ELT processes to transform raw data into valuable datasets.
• Data Warehousing:
  • Manage and optimise our Snowflake and Databricks data warehouse, ensuring efficient data storage and retrieval.
  • Implement best practices for data governance, security, and performance tuning in Snowflake and Databricks.
• Big Data Processing:
  • Utilise Databricks to process and analyse large datasets, ensuring scalable and efficient data processing pipelines.
  • Collaborate with data analysts to deploy and manage new and existing models in Snowflake and Databricks.
• Database Management:
  • Write and optimise SQL queries to extract, transform, and load data.
  • Ensure the integrity and quality of data within our databases.
• Programming and Scripting:
  • Develop and maintain Python scripts for data manipulation, automation, and integration with other systems.
  • Create reusable code libraries to streamline data engineering tasks.
• Collaboration and Communication:
  • Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • Provide technical guidance and support to data analysts and other team members.
• Continuous Improvement:
  • Stay updated with the latest industry trends and technologies in data engineering and analytics.
  • Identify opportunities to improve existing processes and implement innovative solutions.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• 6+ years of experience in data engineering, analytics, or a similar role.
• Proficiency in dbt, Snowflake (to be decommissioned), Databricks, SQL, and Python.
• Strong understanding of data modelling (Kimball, DataVault 2.0), ETL/ELT processes, and data warehousing concepts.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills and attention to detail.

Benefits:

• Flexible working hours
• Hybrid work schedule and half Fridays
• First-class private health, dental, and life insurance after your first month at Wallbox
• Flexible compensation tickets valid for transportation, childcare, and restaurant/food delivery apps
• Stock purchase plan
• Unlimited access to LinkedIn for all your learning and development needs
• Car discounts & special advantages if you choose an EV!
• Variety of breakfast and lunch dishes, every day, at a discounted price at our canteen

Please upload your CV in English.

*At Wallbox, we’re committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We strive to be a more equal-opportunity workplace.