Data Analytics Engineer - Banking IT

Sentior, Ltd.; Basel; Hybrid; CHF 104,000 - 148,000; Full time

Job summary

ITSource Group International B.V. in Basel is seeking a Data Analytics Engineer to join the Banking Technology team for a 24-month project. You will design and build end-to-end data pipelines, migrate datasets to a Lakehouse/on-premise data lakehouse, and collaborate with stakeholders across analytics and engineering.

The role emphasizes Python, Spark, SQL, and data architecture, with on-call rotation and a hybrid work model (50% onsite/50% remote). Banking domain experience is a plus.

Qualifications

• Minimum 5 years of experience with modern data technologies.
• Strong hands-on Python experience.
• Proven experience building data pipelines for Data Warehouse, Data Lake or Lakehouse architectures.
• Practical experience with Spark, Hadoop, Hive, Kafka, HBase, Impala, dbt or ELK.

Responsibilities

• 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.

Skills

Python

Spark

SQL

Data pipelines

Data modelling

Stakeholder management

Communication

Tools

Spark

Hadoop

Hive

Kafka

dbt

ELK

Job description

# Data Analytics Engineer - Banking ITSource Group International B.V. Basel 24 maandenGepubliceerd 8 uur geleden · Opportunity ID: 1064544Tarief indicatie €100 /uUren 40 u/wStart 30 Nov 2026Duur 24 maandenInteresse in deze opdracht?## De opdrachtData Analytics Engineer – Banking ITLocation: Basel, SwitzerlandWork Model: Hybrid – 50% onsite / 50% remoteWorkload: 100%Contract Duration: 24 months, with potential extensionStart Date: ASAP (candidates with a notice period may be considered)Role OverviewWe 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- 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.Must-have Requirements- 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.Nice-to-have Requirements- 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).Additional Information: The role includes a shared on-call rotation, one week at a time, Monday to Friday overnight.