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Last updated on: 14 août, 2025

Databricks Data Engineer

BelgiqueBrussels
1 postes disponibles
Data Science
Medior
Contract
Full Time
Hybrid

Hiring Process

Time to Answer

2 open days

Process

1 Phone Call
1 Onsite Interview

Days to get an Offer

4 Days after Interview

Overview

Experienced Databricks Data Engineer responsible for designing, developing, and optimizing data pipelines using Databricks and Apache Spark. The ideal candidate will have strong programming skills in Python or Scala, experience with cloud platforms such as Azure or AWS, and a solid understanding of data modeling, ETL processes, and data warehousing. Key responsibilities include managing the Databricks environment, ensuring data quality, and collaborating with cross-functional teams to deliver efficient, scalable data solutions.

Job Responsibilities

  • Designing, developing, and maintaining data pipelines for extracting, transforming, and loading data into and within Databricks. 
  • Implementing ETL (Extract, Transform, Load) processes to migrate and deploy data across systems. 
  • Ensuring data quality through data validation, cleansing, and monitoring processes. 
  • Optimizing Spark jobs and data processing workflows for performance and scalability within Databricks. 
  • Collaborating with data scientists, analysts, and other teams to understand data requirements and implement effective solutions. 
  • Managing and configuring the Databricks environment, including clusters and notebooks. 
  • Troubleshooting and resolving data-related issues and performance problems within Databricks. 
  • Keeping up-to-date with the latest Databricks features, best practices, and related technologies.

Must Have Skills

  • At least 6 years of experience. 
  • Proficiency in programming languages such as Python or Scala.
  • Experience with Apache Spark and other big data technologies.
  • Familiarity with cloud platforms like Azure or AWS.
  • Knowledge of data modeling, ETL processes, and data warehousing concepts.
  • Experience working with Databricks notebooks and clusters.
  • Understanding of data security and compliance best practices. 

Nice to have

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.

What's great in the job?

  • Great team of smart people, in a friendly and open culture
  • Expand your knowledge of various business industries
  • Create content that will help our users on a daily basis
  • Real responsibilities and challenges in a fast evolving company

Work at yechte

We are an independent digital consultancy with ambitious goals and a global presence. We support a diverse range of companies, building digital teams and delivering innovative digital solutions. Our multicultural and diverse workforce, comprised of ‘Global Citizens’, reflects this inclusivity.

We care about work-life balance and meeting the expectation of a growing team, investing in people because they are our greatest asset. Our consistent growth is a testament to this commitment.

Come work at yechte, a company on the rise, offering excellent benefits, opportunities for personal development, and the chance to learn from accomplished leaders. We are always looking for exceptional professionals to join our team.

What We Offer

Each employee has a chance to see the impact of his work. You work on real digital projects and make tangible contributions to the company. We want to provide to each individual personal, professional and social growth.

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Attractive Benefits

We care about your comfort. At yechte we offer cost-effective and eco-friendly mobility plans, food allowances, and comprehensive healthcare support, enhancing employee satisfaction.

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Personal Development

We care about your growth. At yechte we offer to boost your personal growth through tailored IT trainings and certifications, fostering a culture of agility and tech-driven expertise.

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Flexibility

We care about your wellbeing. At yechte we offer flexi-hours and hybrid home/office work arrangements, enhancing employee work-life balance and productivity.

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