2606413 Data Analytics Engineer – Banking IT

Swisslinx; Basel; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Hybrid working arrangement

Competitive contract package

Work abroad up to 20 days per year

Zusammenfassung

Swisslinx in Basel, Switzerland is seeking an experienced Data Engineer to design, develop and maintain scalable data pipelines and data products for a modern data platform. You will build ETL/ELT solutions for data warehouse, data lake and lakehouse environments and collaborate with business analysts to translate needs into technical solutions.

You will contribute to data architecture, implement data integration and validation, and support real-time and batch processing initiatives in a

Qualifikationen

• Substantial experience in data engineering, big data or analytics engineering (5+ years).
• Strong skills designing data ingestion and processing pipelines.
• Experience with Spark, Flink, Kafka, Iceberg or similar.
• Familiar with Hadoop ecosystem tools (Hive, HBase, Impala).
• Proficient in Python, Java or C#.
• Solid understanding of data modelling, scalable systems and data architecture.
• Strong SQL and experience with relational or NoSQL databases.
• Experience in investment banking or financial services is a plus.
• Excellent communication across technical and non-technical teams.
• Fluency in English.

Aufgaben

• Design, develop and maintain scalable data pipelines and data products.
• Build reliable ETL/ELT solutions for data warehouses, lakes and lakehouses.
• Partner with analysts to translate business needs into technical solutions.
• Write high-quality, maintainable code using modern engineering practices.
• Contribute to data architecture and platform design decisions.
• Implement data integration, transformation and validation across sources.
• Support real-time and batch data processing initiatives.
• Participate in PoC projects and evaluate emerging data tech.
• Ensure security, governance, retention, performance and quality.
• Support production environments on a rotating on-call schedule.

Kenntnisse

Data engineering

Data pipelines

Spark

Flink

Kafka

Iceberg

Hive

HBase

Impala

Python

Java

C#

Data modeling

SQL

Financial services domain

Teamwork

English

Tools

Databricks

Snowflake

Azure Synapse

Cloudera

Apache Iceberg

REST APIs

Jobbeschreibung

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

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.

You will join a collaborative, international environment where different perspectives are valued. Working closely with business stakeholders, data architects, analysts and fellow engineers, you will have the opportunity to influence technical decisions and deliver data solutions with meaningful, organisation-wide impact.

Requirements

• 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
• 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
• Strong programming skills in at least one of the following: Python, Java or C#
• 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
• Experience creating or managing REST or SOAP APIs
• Experience with .NET or C#

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
• 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 20 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.