**Project description**:
We are seeking a skilled and hands-on Data Engineer with proven experience in Databricks, Apache Kafka, and real-time data streaming solutions.
**Responsibilities**:
- Design and implement scalable data pipelines using Databricks and Kafka
- Build and maintain real-time streaming solutions for high-volume data
- Collaborate with cross-functional teams to integrate data flows into broader systems
- Optimize performance and reliability of data processing workflows
- Ensure data quality, lineage, and compliance across streaming and batch pipelines
- Participate in agile development processes and contribute to technical documentation
**Skills**:
Must have
- +5 years of experience in data engineering roles
- Proven expertise with Databricks (Spark, Delta Lake, notebooks, performance tuning)
- Strong hands-on experience with Apache Kafka (topics, producers/consumers, schema registry)




- Solid understanding of streaming frameworks (e.g., Spark Structured Streaming, Flink, or similar)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Proficiency in Python or Scala for data pipeline development
- Familiarity with CI/CD pipelines (GitLab, Jenkins) and agile tools (Jira)
- Exposure to data lakehouse architectures and best practices
- Knowledge of data governance, security, and observability
Nice to have
- Scrum / Agile
**Other**:
- Languages
- Spanish: C1 Advanced,English: C1 Advanced- Seniority
- Senior
Guadalajara, MX, Mexico
Req. VR-
Mexico, 45050, Guadalajara, Distrito La Perla, Amado Nervo, 2200, Edificio Bio II piso 1
BigData Development
HLS & Consumer industry
13/11/2025
Req. VR-

📌 Data Engineer (Guadalajara)
🏢 Luxoft
📍 Guadalajara