Senior Data Engineer: MongoDB & Data Pipelines

Ascendion; Dublin; On-site; EUR 70,000 - 110,000; Full time

Job summary

Ascendion in Dublin is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data solutions with MongoDB as a core technology. You will work closely with analytics, architecture, and engineering teams to deliver reliable data platforms.

The ideal candidate has 5+ years in data engineering, strong MongoDB expertise, Python/SQL skills, and hands-on experience with ETL/ELT, data modelling, and distributed systems, with banking domain familiarity preferred.

Qualifications

• 5+ years of experience in Data Engineering or related roles.
• Strong hands-on experience with MongoDB, including aggregation pipelines and schema design.
• Proficiency in Python, SQL, and data processing technologies.
• Experience developing ETL/ELT pipelines and data integration solutions.
• Knowledge of data modelling, database optimization, and distributed systems.
• Experience with cloud platforms such as AWS or Azure is desirable.
• Strong analytical, problem-solving, and communication skills.
• Previous experience in banking or financial services is preferred.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Work with MongoDB for data modelling, querying, aggregation, and performance optimization.
• Perform data transformation, validation, and quality checks.
• Collaborate with business analysts, architects, and technology teams.
• Troubleshoot data pipeline issues and optimize performance.
• Ensure data security, quality, and compliance with banking standards.

Skills

Data engineering

ETL/ELT pipelines

MongoDB

Python

SQL

Data modelling

Distributed systems

Cloud platforms

Analytical skills

Communication skills

Tools

AWS

Azure

MongoDB (tool)

Job description

Ascendion in Dublin is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data solutions with MongoDB as a core technology. You will work closely with analytics, architecture, and engineering teams to deliver reliable data platforms.

The ideal candidate has 5+ years in data engineering, strong MongoDB expertise, Python/SQL skills, and hands-on experience with ETL/ELT, data modelling, and distributed systems, with banking domain familiarity preferred.