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.

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