Senior Software Engineer

TESTQ Technologies LTD.; Amsterdam; Hybrid; EUR 90,000 - 120,000; Part time

Job summary

TESTQ Technologies LTD. seeks a Senior Data Engineer to drive data engineering with a focus on data pipelines, BI solutions and AI projects. Hybrid work model with 3 days in the office, enabling collaboration while maintaining flexibility.

You will own end-to-end pipeline design, collaborate with data teams, and translate complex requirements into scalable data models and insight-driven products, leveraging PySpark, Spark and Airflow.

Qualifications

• 8+ years of experience in data engineering or related field.
• Experience designing production-grade data pipelines with ETL patterns.
• Proficient in Python and SQL; PySpark experience.
• Experience with Apache Spark and Airflow.

Responsibilities

• Own end-to-end design, development and maintenance of scalable data pipelines and data products.
• Translate business, control and regulatory requirements into robust data models and fit-for-purpose BI solutions.

Skills

Python

SQL

PySpark

Apache Spark

Airflow

ETL pipelines

Data modeling

Tools

dbt Labs

Job description

TQUSI01000_6068 - Senior Software Engineer

Job Type: Contract

Work Mode: Hybrid (3 Days from office)

Job Description

As an Senior Data Engineer, you play a pivotal role in driving data engineering, data insights, BI and AIprojects through empowered teams and strategic alignment.

Your key responsibilities include:

• Own the end-to-end design, development and maintenance of scalable data pipelines anddata products, covering ingestion, transformation, storage, orchestration and consumption.
• Translate business, control and regulatory requirements into robust technical designs,governed data models and fit-for-purpose BI solutions.

Technical skills we are looking for:

• At least 8 years of relevant experience in data engineering, cloud engineering, data analyticsor a closely related technical field.
• Proven hands-on experience designing and building complex production-grade datapipelines using ETL and ETL patterns.
• Strong programming skills in Python and SQL, with practical experience using PySpark fordistributed data processing.
• Hands‑on experience with Apache Spark and workflow orchestration tools such as ApacheAirflow.

Competencies and experience:

• Minimum of 8 years working experience in the technical data or cloud roledata modeling, normalization/denormalization, and integrating data acrosscomplex systems
• Prior experience in Python, SQL, PySpark, dbt Labs for data processing and automation.
• Good to have: Understanding of Financial Markets and Group Treasury business, FM/GT relatedproducts, KYC, FM regulations (EMIR, MIFID, SFTR, AFSL, MAS etc) and financial institutions(brokers, CCP's, venues etc.)