Data Analytics Engineer (m/f/d)

Michael Page; Basel; On-site; CHF 120,000 - 170,000; Full time

Job summary

Michael Page (Switzerland) is seeking a Data Analytics Engineer to lead end-to-end data pipelines and modern data platform initiatives in a major financial services transformation. The role covers design, development, governance, and on-call support within a collaborative, international team.

You will apply Python, Spark and SQL to build scalable data solutions, work with lakehouse architectures, and partner with stakeholders to deliver data-driven outcomes. Basel-based, ASAP start.

Qualifications

• 5+ years of experience in Data Engineering or Data Analytics Engineering.
• Hands-on experience with Python, Spark and SQL.
• Experience building pipelines in data warehouse, data lake or lakehouse environments.
• Strong understanding of data modelling, scalable architectures and software engineering principles.
• Practical experience with Hadoop, Hive, Kafka, HBase, dbt or similar modern data platforms.
• Exposure to workflow orchestration and streaming technologies such as Airflow, NiFi, RunDeck, Kafka or Spark Streaming.
• Familiar with Agile delivery methodologies and CI/CD practices.
• Excellent communication skills with the ability to work closely with technical and business stakeholders.

Responsibilities

• Design, develop and maintain end-to-end data pipelines and ETL processes.
• Build scalable data solutions leveraging modern data engineering technologies.
• Translate business and technical requirements into robust data architectures and technical designs.
• Collaborate with business stakeholders, architects, analysts and engineering teams to deliver data-driven solutions.
• Support data migration initiatives and modernization of existing platforms.
• Contribute to data architecture, governance, data quality and security standards.
• Provide operational support and participate in an on-call support rotation.
• Evaluate new technologies, contribute to proof-of-concepts and promote engineering best practices.

Skills

Python

Spark

SQL

Data pipelines

Data modelling

Big data platforms

Airflow

Kafka

CI/CD

Agile

Communication skills

Tools

Hadoop

Hive

Kafka

HBase

dbt

Job description

• Drive a major data platform transformation in financial services
• Work with modern analytics, streaming, and lakehouse technologies

About Our Client

Our client is a well-established international organization operating within the financial services sector. Due to an ongoing technology transformation program, they are looking for an experienced Data Analytics Engineer for an initial 24-month contract with potential extension and an ASAP start.

Job Description

• Design, develop and maintain end-to-end data pipelines and ETL processes.
• Build scalable data solutions leveraging modern data engineering technologies.
• Translate business and technical requirements into robust data architectures and technical designs.
• Collaborate with business stakeholders, architects, analysts and engineering teams to deliver data-driven solutions.
• Support data migration initiatives and modernization of existing platforms.
• Contribute to data architecture, governance, data quality and security standards.
• Provide operational support and participate in an on-call support rotation.
• Evaluate new technologies, contribute to proof-of-concepts and promote engineering best practices.

The Successful Applicant

• 5+ years of experience in Data Engineering or Data Analytics Engineering roles.
• Strong hands-on experience with Python, Spark and SQL.
• Experience building data pipelines in data warehouse, data lake or lakehouse environments.
• Strong understanding of data modelling, scalable architectures and software engineering principles.
• Practical experience with technologies such as Hadoop, Hive, Kafka, HBase, dbt or similar modern data platforms.
• Experience in Banking or Financial Services is highly desirable.
• Exposure to workflow orchestration and streaming technologies such as Airflow, NiFi, RunDeck, Kafka or Spark Streaming.
• Familiar with Agile delivery methodologies and CI/CD practices.
• Excellent communication skills with the ability to work closely with technical and business stakeholders.

What's on Offer

• Long-term 24-month contract with extension potential
• Exposure to a large-scale data transformation program
• Modern data technologies and advanced analytics projects
• International and collaborative working environment
• High-impact role with strong stakeholder visibility
• Opportunity to influence future data platform strategy