Data Analytics Engineer – Banking IT

Project overview

Data Analytics Engineer – Banking IT Location: Basel, Switzerland

Work Model: Hybrid – 50% onsite / 50% remote

Project details

100%

24 months, with potential extension

Start Date: ASAP (candidates with a notice period may be considered)

Role Overview We are looking for an experienced Data Analytics Engineer to join the Banking Technology team as part of a major data transformation programme.

The role focuses on developing new data pipelines and migrating existing datasets to an on-premise data lakehouse, with potential future migration to the cloud.

You will work with modern data technologies, supporting data management, advanced analytics and business intelligence initiatives in close collaboration with technical and business stakeholders.

Key Responsibilities

Must-have Requirements

Nice-to-have Requirements

Additional Information: The role includes a shared on-call rotation, one week at a time, Monday to Friday overnight.

By applying for this role, you consent to SGI contacting you by telephone regarding recruitment services, market updates, and relevant business opportunities

We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.

Source Group International Ltd is acting as an Employment Business in relation to this vacancy

• 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.
• Minimum 5 years of experience with modern data technologies.
• Strong hands-on experience with Python.
• Proven experience building data pipelines for Data Warehouse, Data Lake or Lakehouse architectures.
• Practical experience with technologies such as Spark, Hadoop, Hive, Kafka, HBase, Impala, dbt or ELK.
• Strong knowledge of data modelling, design patterns and scalable applications.
• Excellent communication and stakeholder management skills.
• Banking or financial services experience.
• Knowledge of financial instruments, trade lifecycle or risk management.
• Experience with Apache Iceberg and Cloudera.
• SQL and NoSQL databases (PostgreSQL, SQL Server, Cassandra, Sybase IQ).
• Workflow orchestration tools such as Airflow, NiFi or RunDeck.
• CI/CD, Agile methodologies and automated testing.
• Previous experience with C#/.NET.
• Cloud platforms such as Databricks, Snowflake or Azure Synapse.
• Microservices and API development (REST/SOAP).
• Start: flexible
• Remote: hybrid
• Location: Basel, Switzerland, CH