Data Analytics Engineer - Banking Lakehouse (Hybrid)

Source Group International; Basel; Hybrid; CHF 120,000 - 170,000; Full time

Job summary

Source Group International is seeking an experienced Data Analytics Engineer to join our Banking Technology team in Basel on a 24-month hybrid role. You will develop data pipelines, migrate datasets to an on-premise data lakehouse, with potential cloud migration.

Work closely with business stakeholders, enable advanced analytics and BI, using Python, Spark, and SQL. You will contribute to data architecture and support on-call rotation; 50% onsite, 50% remote, ASAP start.

Qualifications

• 5+ years of experience with modern data technologies.

Responsibilities

• Design, develop and maintain end-to-end data pipelines using Python, Spark and SQL.
• Build and optimise data ingestion and transformation processes.
• Support the migration of existing pipelines from C# to Python.
• Translate business and technical requirements into scalable solutions.
• Contribute to data architecture and technical design.
• Collaborate with business analysts, data architects, engineers and other stakeholders.
• Provide technical support and participate in the shared on-call rotation.

Skills

Python

Data pipelines

Data modelling

Stakeholder management

Communication

Spark

Hadoop

Hive

Kafka

ELK

Tools

dbt

Airflow

NiFi

RunDeck

Cloudera

Apache Iceberg

Job description

Source Group International is seeking an experienced Data Analytics Engineer to join our Banking Technology team in Basel on a 24-month hybrid role. You will develop data pipelines, migrate datasets to an on-premise data lakehouse, with potential cloud migration.

Work closely with business stakeholders, enable advanced analytics and BI, using Python, Spark, and SQL. You will contribute to data architecture and support on-call rotation; 50% onsite, 50% remote, ASAP start.