Data Analytics Engineer (m/f/d)

Michael Page; Basel; On-site; CHF 120,000 - 180,000; Full time

Job summary

Michael Page is recruiting for an experienced Data Analytics Engineer for a 24-month contract with ASAP start in Basel. You will design, build and maintain end-to-end data pipelines and ETL processes, leveraging Python, Spark and SQL to deliver scalable data solutions for financial services.

You will collaborate with stakeholders, architects and engineers to translate requirements into robust architectures, support data migration, governance and data quality initiatives, and contribute to modern

Qualifications

• 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.
• 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

Agile

CI/CD

Communication

Tools

Hadoop

Hive

Kafka

HBase

dbt

Airflow

NiFi

RunDeck

Spark Streaming

Job description

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

Quote job ref: JN-112026-7142845