Related skills
bigquery redshift aws snowflake sql📋 Description
- Designing and building data pipelines for large-scale ingestion and transformation.
- Developing and maintaining data platforms and warehousing solutions for analytics.
- Implementing scalable data storage with high availability and performance.
- Enhancing performance in data processing workflows for speed and scalability.
- Collaborating with data scientists and analysts to solve data needs.
- Ensuring data quality, governance, and compliance across systems.
🎯 Requirements
- Significant Senior Engineer level data engineering experience (6+ yrs).
- Practical experience delivering in an agile environment.
- Hands-on SQL, Python, and Spark for large-scale data.
- Databricks experience.
- Expertise in Snowflake/Redshift/BigQuery data warehousing.
- Cloud data solutions (AWS/Azure/GCP) plus CI/CD/IaC for data.
🎁 Benefits
- Annual company bonus based on company performance.
- Remote work and flexible schedule.
- 24 days of leave plus public holidays, sick/marriage leave.
- Remote working allowance up to €1250 every 2 years.
- Training and development allowance up to €1000.
- Healthcare and pension with 5% match and insurance.
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