Data Analytics Engineer — Python & Spark (Finance)

TEKsystems; Basel; On-site; CHF 110,000 - 140,000; Full time

Job summary

TEKsystems in Basel is seeking an experienced Data Analytics Engineer to drive end-to-end data pipelines for a financial client. You will leverage Python to transform data, collaborate with business analysts, data architects and engineers, and help refine requirements with stakeholders.

You will contribute to data architecture, ensure governance, and stay current with industry standards. The role requires strong Python skills, 5+ years in modern data tech, and experience with lakehouse/data

Qualifications

• Minimum 5 years of work experience in modern data technologies.
• Experience building data ingestion pipelines for data warehouse and/or data lake/lakehouse architecture.
• Hands-on development with open-source data technologies such as Hadoop, Hive, Spark, HBase, Kafka, Impala, dbt, ELK; preferably with Cloudera.
• Strong experience in data modelling, design patterns and building highly scalable applications.
• Strong experience with Python.

Responsibilities

• Develop end-to-end data pipelines for extracting, transforming, and loading data from diverse sources using Spark, SQL and other technologies.
• Assist business analysts and interact with the business to identify, capture and analyze requirements.
• Translate functional and technical requirements into detailed design.
• Participate in overall data architecture and design.
• Provide responsive support during and outside business hours; migrate pipelines from C# to Python.

Skills

Python

Data pipelines

Spark

Hadoop

Kafka

dbt

ELK

C#/.NET

Tools

Hadoop

Hive

Spark

HBase

Kafka

Impala

dbt

ELK

Job description

TEKsystems in Basel is seeking an experienced Data Analytics Engineer to drive end-to-end data pipelines for a financial client. You will leverage Python to transform data, collaborate with business analysts, data architects and engineers, and help refine requirements with stakeholders.

You will contribute to data architecture, ensure governance, and stay current with industry standards. The role requires strong Python skills, 5+ years in modern data tech, and experience with lakehouse/data