Job description:

• Design, develop and maintain scalable, end-to-end data pipelines and data products
• Build reliable ETL/ELT solutions for data warehouse, data lake and lakehouse environments
• Partner with business analysts and stakeholders to understand their needs and translate them into effective technical solutions
• Write high-quality, maintainable code using modern software engineering practices
• Contribute your ideas to data architecture, platform design and technical decision-making
• Implement data integration, transformation and validation processes across multiple data sources
• Support both real-time and batch data-processing initiatives
• Participate in proof-of-concept projects and evaluate emerging data technologies
• Ensure solutions meet security, governance, retention, performance and quality requirements
• Help support production environments as part of a shared on-call rotation

About the customer:

As a Senior Data Engineer you will join a major data transformation programme running for next 4+ years. You will help shape the evolution of a modern data platform that supports critical banking operations. You will build and enhance data pipelines, introduce new datasets and contribute to the transition towards a scalable lakehouse architecture.

In this role, you will help shape the evolution of a modern data platform that supports critical banking operations. You will build and enhance data pipelines, introduce new datasets and contribute to the transition towards a scalable lakehouse architecture.

Requirements:

We encourage you to apply even if you do not meet every requirement listed. Relevant experience may have been gained through different roles, industries or career paths:

• Substantial professional experience in data engineering, big data engineering or analytics engineering-typically five years or more
• Strong experience designing and developing data-ingestion and processing pipelines
• Strong programming skills in Python mandatory
• Practical experience with one or more modern data technologies, such as Spark, Flink, Kafka, Apache Iceberg, or comparable distributed-processing and lakehouse tools
• Familiarity with relevant Hadoop ecosystem technologies, such as Hive, HBase or Impala, or equivalent platforms
• Willingness (and ideally experience) to work with C# codebase
• A solid understanding of data modelling, scalable system design and data architecture
• Strong SQL skills and experience with relational or NoSQL databases
• Experience in investment banking, capital markets, financial services, risk, trading or market-data environments
• A collaborative and proactive approach, with the ability to communicate clearly across technical and non-technical teams
• Fluency in English

The following would be beneficial, but you do not need to have all-or any-of these to apply:

• Knowledge of financial instruments, trade lifecycles or risk management
• Experience analysing, implementing or testing financial data products
• Experience with Cloudera
• Knowledge of Apache Iceberg
• Experience with Databricks, Snowflake or Azure Synapse
• Understanding of microservices architecture

Compensation benefits:

• A 24-month contract with a highly respected international financial institution
• Strong potential for extension, with the wider programme expected to continue for up to five years
• Modern office in central Basel (50 minutes direct train from Zurich) with subsidised canteen
• The opportunity to make a visible contribution to a major data-transformation initiative
• Exposure to modern technologies and enterprise-scale data platforms
• A collaborative, international and intellectually stimulating working environment
• A competitive contract package
• A hybrid working arrangement, with an approximately 50/50 split between working from home and on-site work
• The possibility of working abroad for up to 30 days per year

If you are excited by the opportunity but are unsure whether your experience matches every point, we would still be pleased to hear from you. We welcome applications from people with diverse backgrounds, experiences and perspectives.

Please apply before 16 November.