Data Engineer

Deep Digital Solutions Group; Ireland; Hybrid; EUR 42,000 - 66,000; Full time

Benefits offered by this job

5% Pension Match

Employee healthcare plan - Laya

Competitive Annual leave benefits

Paid sick time

Life & Income protection coverage

Remote & Hybrid work

Fun & Friendly Atmosphere

Job summary

Deep Digital Solutions is seeking a Data Engineer to independently deliver industrial data integration and historian solutions for clients in life sciences and regulated manufacturing environments. This role is ideal for an engineer with 1-3 years of experience who is looking to deepen their technical expertise and work directly with clients.

You will contribute to complex digital transformation projects, configure data interfaces, troubleshoot data quality, and produce clear documentation while

Qualifications

• 1–3 years of data engineering or related field experience.
• Experience configuring data interfaces and historian platforms.
• Strong troubleshooting, problem-solving, and documentation skills.

Responsibilities

• Configure and manage historian systems, tag structures, metadata, and asset frameworks.
• Build and maintain data interfaces using OPC DA/UA, MQTT, REST APIs, and other industrial connectivity solutions.
• Troubleshoot data quality, performance, latency, and integration issues.
• Support system testing, validation, deployment, and cutover activities.
• Produce high-quality technical documentation, configuration records, and testing evidence.
• Ensure compliance with GxP, CSV, and data integrity requirements.
• Collaborate with clients, project teams, and senior engineers to deliver reliable and scalable solutions.
• Contribute to continuous improvement of engineering standards, tools, and processes.
• Mentor and support Graduate Data Engineers where appropriate.

Skills

Data engineering

Industrial automation

Historian systems

Troubleshooting

Communication

Tools

AVEVA PI System

OPC

MQTT

Kafka

REST APIs

Unified Namespace

Job description

Job Description

Deep Digital Solutions is seeking a Data Engineer to independently deliver industrial data integration and historian solutions for clients in life sciences and regulated manufacturing environments. This role is ideal for an engineer with 1-3 years of experience who is looking to deepen their technical expertise, work directly with clients, and contribute to complex digital transformation projects.

Job Description

Deep Digital Solutions is seeking a Data Engineer to independently deliver industrial data integration and historian solutions for clients in life sciences and regulated manufacturing environments. This role is ideal for an engineer with 1-3 years of experience who is looking to deepen their technical expertise, work directly with clients, and contribute to complex digital transformation projects.

Job Requirements

Required

• 1-3 years' experience in data engineering, industrial automation, historian systems, or related fields.
• Experience configuring data integrations, interfaces, or historian platforms.
• Strong troubleshooting and problem-solving skills.
• Excellent communication and documentation abilities.

Desirable:

• Experience with AVEVA PI System (AF, Analytics, Interfaces, Integrator).
• Knowledge of OPC, MQTT, Kafka, REST APIs, and Unified Namespace architectures.
• Exposure to pharmaceutical, life sciences, or other regulated industries.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Experience with Python, PowerShell, and industrial automation systems (PLC, SCADA, DCS).

Job Responsibilities

• Configure and manage historian systems, tag structures, metadata, and asset frameworks.
• Build and maintain data interfaces using technologies such as OPC DA/UA, MQTT, REST APIs, and other industrial connectivity solutions.
• Troubleshoot data quality, performance, latency, and integration issues.
• Support system testing, validation, deployment, and cutover activities.
• Produce high-quality technical documentation, configuration records, and testing evidence.
• Ensure compliance with GxP, CSV, and data integrity requirements.
• Collaborate with clients, project teams, and senior engineers to deliver reliable and scalable solutions.
• Contribute to continuous improvement of engineering standards, tools, and processes.
• Mentor and support Graduate Data Engineers where appropriate.

Job Benefits

• 5% Pension Match
• Employee healthcare plan - Laya
• Competitive Annual leave benefits
• Paid sick time
• Life & Income protection coverage
• Remote & Hybrid work
• Fun & Friendly Atmosphere