Data Analytics Engineer (m/f/d)
Michael Page • Basel, CH
Vor 10 Stunden
Stellenbeschreibung
- Design, develop and maintain end-to-end data pipelines and ETL processes.
- Build scalable data solutions leveraging modern data engineering technologies.
- Translate business and technical requirements into robust data architectures and technical designs.
- Collaborate with business stakeholders, architects, analysts and engineering teams to deliver data-driven solutions.
- Support data migration initiatives and modernization of existing platforms.
- Contribute to data architecture, governance, data quality and security standards.
- Provide operational support and participate in an on-call support rotation.
- Evaluate new technologies, contribute to proof-of-concepts and promote engineering best practices.
- 5+ years of experience in Data Engineering or Data Analytics Engineering roles.
- Strong hands-on experience with Python, Spark and SQL.
- Experience building data pipelines in data warehouse, data lake or lakehouse environments.
- Strong understanding of data modelling, scalable architectures and software engineering principles.
- Practical experience with technologies such as Hadoop, Hive, Kafka, HBase, dbt or similar modern data platforms.
- Experience in Banking or Financial Services is highly desirable.
- Exposure to workflow orchestration and streaming technologies such as Airflow, NiFi, RunDeck, Kafka or Spark Streaming.
- Familiar with Agile delivery methodologies and CI/CD practices.
- Excellent communication skills with the ability to work closely with technical and business stakeholders.
- Long-term 24-month contract with extension potential
- Exposure to a large-scale data transformation program
- Modern data technologies and advanced analytics projects
- International and collaborative working environment
- High-impact role with strong stakeholder visibility
- Opportunity to influence future data platform strategy