Senior Data & Platform Engineer

MCS Group; Dublin; On-site; EUR 129,000 - 203,000; Full time

Job summary

MCS Group is seeking a Senior Data & Platform Engineer (AWS) for a day-rate contract starting immediately in Ireland. You will own backend services, data pipelines and AWS deployments, building reliable systems that integrate external data sources.

You will improve asynchronous processing, manage migrations, and operate automated release pipelines with monitoring and observability. Candidates bring strong Python backend experience and hands-on AWS (Lambda, ECS/Fargate, S3, RDS), SQL, data

Qualifications

• Strong production backend engineering experience.
• Experience with Python and AWS services.
• Data ingestion, queue-based systems and data quality.
• Strong SQL/relational DB experience (PostgreSQL preferred).
• Experience with CI/CD, containers, logging, metrics and alerts.
• Independent verification of outputs and autonomous work style.

Responsibilities

• Develop backend services and reliable pipelines that integrate external data sources.
• Improve asynchronous processing, handle duplicates, retries and recovery.
• Deploy and operate applications on AWS with monitoring and automated releases.
• Manage database changes and system migrations with controlled cutovers.
• Take ownership from investigation through production handover.

Skills

Backend engineering

Python

AWS

CI/CD

Containers

PostgreSQL

Data ingestion

SQL

Monitoring

Data pipelines

Tools

Terraform

Lambda

ECS/Fargate

SQS

S3

RDS

IAM

IaC

Job description

Senior Data & Platform Engineer (AWS)

Day Rate Contract

Starting Immediately

We're looking for a senior, hands-on engineer with experience building, deploying and supporting data-intensive backend systems.

Working alongside an existing engineering team, you'll own application code, data pipelines and AWS deployment, introducing improvements and managing changes through to production.

The Role:

• Develop backend services and reliable pipelines that integrate external data sources.
• Improve asynchronous processing, handling duplicates, retries, interrupted jobs and recovery.
• Deploy and operate applications on AWS, with effective monitoring and automated release pipelines.
• Manage database changes and system migrations, comparing outputs and planning controlled cutovers and rollback.
• Take ownership from initial investigation through implementation, production support and handover.

Requirement's:

• Strong production backend engineering experience. The application uses Python, but engineers from other language backgrounds will be considered if they can become productive quickly.
• Hands-on AWS experience across services such as Lambda, ECS/Fargate, SQS, S3 and RDS, alongside IAM, networking, secrets and infrastructure as code.
• Experience with data ingestion and queue-based systems, including data quality, idempotency, concurrency and partial failures.
• Strong SQL and relational database experience, ideally PostgreSQL, covering transactions, schema changes and query performance.
• Experience with CI/CD, containers, structured logging, metrics, tracing and actionable alerts.
• Practical experience using coding agents for implementation, testing and review, with independent verification of their output.
• Confidence working autonomously, identifying dependencies and communicating decisions clearly.

You don't need every named technology, but you should have concrete examples of comparable systems you have personally delivered and operated.