2606413 Data Analytics Engineer – Banking IT

2606413 Data Analytics Engineer – Banking IT

Swisslinx is supporting a prestigious international financial institution in Basel in the search for an experienced Data Analytics Engineer to join a major data transformation programme running for next 4\+ years.

2606413 Data Analytics Engineer – Banking IT

Job description

Design, develop and maintain scalable end\-to\-end data pipelines and data products

Build robust ETL/ELT solutions for data warehouse and data lake/lakehouse environments

Collaborate with business analysts and stakeholders to gather, refine and translate requirements into technical solutions

Develop high\-quality, maintainable code using modern software engineering practices

Contribute to data architecture, platform design and technical decision\-making

Implement data integration, transformation and validation processes across multiple data sources

Support real\-time and batch data processing initiatives

Participate in proof\-of\-concept activities and evaluation of emerging data technologies

Ensure solutions meet security, governance, data retention and performance requirements

Support production environments, including participation in an on\-call rotation

About the customer

Our client is a prestigious This is an exciting opportunity to work on the evolution of a modern data platform, helping to deliver advanced analytics, real\-time data processing, and scalable data solutions that support critical banking operations. You will play a key role in building and enhancing data pipelines, implementing new datasets, and contributing to the migration towards a modern lakehouse architecture.

Working closely with business stakeholders, data architects, analysts, and engineers, you will help shape the future of data capabilities within a highly collaborative and international financial institution based in Basel. Its Banking Technology unit is modernising its data landscape to support real\-time streaming, advanced analytics and business intelligence.

Requirements

Minimum 5 years of experience in Data Engineering, Big Data Engineering, or Analytics Engineering roles

Strong experience designing and developing data ingestion and processing pipelines

Hands\-on experience with modern data platforms and technologies such as: Spark, Flink, Kafka or similar distributed processing frameworks, Hadoop ecosystem technologies including Hive, HBase, Impala or equivalen or lakehouse technologies such as Apache Iceberg

Strong programming skills in , Java or C\#

Excellent understanding of data modelling, scalable system design and data architecture principles

Strong SQL development skills and experience working with relational and/or NoSQL databases

Experience within Investment Banking, Capital Markets, Financial Services, Risk, Trading or Market Data environments is mandatory

You are a team oriented, proactive and have strong communication skills

Fluent in English

Nice to have

Experience within banking or financial services

Understanding of financial instruments, the trade lifecycle or risk management

Experience analysing, implementing and testing financial data products

Experience with Cloudera

Knowledge of Apache Iceberg

Experience with Databricks, Snowflake or Azure Synapse

Understanding of microservices architecture

Experience creating and managing REST or SOAP APIs

Experience with .NET or C\#

Compensation benefits

Long\-term contract for 24 months with a highly respected international financial institution (strong chance to extend up to five years due to project timelines)

Opportunity to work on large\-scale data transformation initiatives

Exposure to modern data technologies and enterprise\-scale data platforms

Collaborative and intellectually stimulating environment

Competitive contract package

50/50 split WFH/home office per week (and possibility to work abroad 20 days per year)

If you possess strong Data Engineering expertise combined with experience in financial services and modern data platforms, we would be pleased to hear from you before the deadline on 16 Sep. jid49f97d5jm jit0937jm jiy26jm