Data Analytics Engineer
Job in
4040, Basel, Kanton Basel-Landschaft, Switzerland
Listed on 2026-09-13
Listing for:
Source Technology Limited
Full Time
position Listed on 2026-09-13
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Science Manager, Data Analyst
Job Description & How to Apply Below
Location: Basel, Switzerland
Duration: 2-year contract
Workload: 100%
About the RoleJoin a banking technology transformation programme to help build and modernise a data lakehouse platform. You will develop scalable data pipelines, support advanced analytics initiatives, and work closely with business and technology stakeholders.
Key Responsibilities- Design and develop end-to-end data pipelines using Spark, SQL, and Python.
- Gather and translate business requirements into technical solutions.
- Contribute to data architecture and platform design.
- Support data-related issues and participate in on-call rotations.
- Drive continuous improvement and adoption of modern data technologies.
- 5+ years of experience with modern data engineering technologies.
- Experience building data pipelines for data warehouses, lakes, or lake houses.
- Hands-on experience with Spark, Hadoop, Hive, Kafka, dbt, ELK, or similar technologies.
- Strong Python development skills.
- Expertise in data modelling, architecture, and scalable application design.
- Banking or financial services experience.
- Apache Iceberg, Airflow, NiFi, CI/CD, Kafka Streaming.
- SQL and No
SQL databases (PostgreSQL, SQL Server, Cassandra, etc.).
- Excellent communication and collaboration skills.
- Proactive, accountable, and team-oriented mindset.
An experienced Data Analytics Engineer with strong Python skills, expertise in modern data platforms, and the ability to collaborate effectively with both technical and business stakeholders.
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
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