Data Analytics Engineer

Location: Basel, Switzerland

Duration: 2-year contract

Workload: 100%

About the Role

Join 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.

Must-Have Skills

• 5+ years of experience with modern data engineering technologies.
• Experience building data pipelines for data warehouses, lakes, or lakehouses.
• 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.

Preferred

• Banking or financial services experience.
• Apache Iceberg, Airflow, NiFi, CI/CD, Kafka Streaming.
• SQL and NoSQL databases (PostgreSQL, SQL Server, Cassandra, etc.).

Soft Skills

• Excellent communication and collaboration skills.
• Proactive, accountable, and team-oriented mindset.

Ideal Candidate:

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.