Senior Software Engineer – Python | Big Data | ML

September Consulting Ltd; Dublin; On-site; EUR 70,000 - 90,000; Full time

Job summary

September Consulting Ltd is seeking a Senior Software Engineer based in Dublin. This role involves developing smart APIs that deliver fast insights from a big data platform. You'll build scalable analytics solutions, implement high-performing UIs, and create production-ready ML models.

The position requires over 5 years of software engineering experience, proficiency in Python or Scala, and expertise with big data tools like Spark and Hadoop. Join a dynamic team to solve data-heavy problems at scale.

Qualifications

• 5+ years’ software engineering experience in agile environments.
• Strong proficiency in Python or Scala.
• Big data toolset proficiency including Spark, Hadoop, and SQL.

Responsibilities

• Develop smart APIs for centralized big data insights.
• Build scalable analytics solutions for global clients.
• Create high-performing UIs for complex data visualization.
• Build production-ready models for ML-driven services.

Skills

Python

Scala

Java/.NET fundamentals

Big data tools (Spark, Hadoop, Airflow, Hive, NiFi, SQL)

Machine Learning lifecycle

Front-end (React, Redux, TypeScript)

Job description

Senior Software Engineer – Dublin

Location: Dublin

Type: Contract

Category: Technology

We’re hiring for a leading global tech powerhouse redefining how data drives decisions in the financial world — and they’re looking for a Senior Software Engineer to help build the engine behind products that fuel credit risk scoring, portfolio optimization, and high-performance ad targeting at scale.

If working on prediction-as-a-service, matching algorithms, and real-time analytics gets you fired up — this one’s for you.

Responsibilities

• Smart APIs that deliver lightning-fast insights from a centralized big data platform
• Scalable analytics solutions used by major global players
• High-performing UIs that make complex data simple and actionable
• Production-ready models and workflows for ML-driven services
• 5+ years’ software engineering experience in agile environments
• Strong Python (or Scala) skills, with solid Java/.NET fundamentals
• Big data toolset proficiency: Spark, Hadoop, Airflow, Hive, NiFi, SQL
• Experience in the full ML lifecycle (data ingestion to model deployment)
• Bonus: Front-end exposure to React, Redux, TypeScript
• You can speak business, data, and dev fluently — and switch between them like a pro

Stand Out If You’ve Got:

• Hands‑on Hadoop chops
• Real‑world Databricks SQL experience
• A passion for solving data-heavy problems at scale

This role is for builders, problem-solvers, and engineers who thrive in fast-moving, product-minded teams. You'll work alongside brilliant folks across UX, product, and data science to deliver tech that makes a real difference.