onsite
Data Integration Engineer - LOXXESS AG
Implementation Engineer
Lead end‑to‑end data integration projects, designing and maintaining scalable pipelines on AWS using Python, SQL, Airflow and Spark to deliver clean, reliable data for analytics and reporting.
About the role
Key Responsibilities
- Design, develop and maintain robust ETL pipelines that ingest, transform and load data from diverse sources into cloud data warehouses.
- Implement data quality checks, monitoring and alerting to ensure high data integrity and availability.
- Collaborate with data scientists, analysts and business stakeholders to understand requirements and translate them into technical solutions.
- Optimize pipeline performance and cost using AWS services (Glue, Redshift, S3) and Spark.
- Document architecture, processes and best practices for future maintenance and onboarding.
Requirements
- 3+ years of experience in data engineering, with strong proficiency in Python and SQL.
- Hands‑on experience with ETL tools, cloud data platforms (AWS) and orchestration frameworks (Airflow).
- Knowledge of big‑data processing frameworks such as Apache Spark.
- Solid understanding of data modeling, data warehousing concepts and data governance.
- Excellent problem‑solving skills and a proactive, collaborative mindset.
Skills
pythonsqlawsapache spark