Data Engineer
Summary
Builds and maintains industrial data historian systems and integrations for life-sciences clients, using OPC, MQTT, Kafka, REST APIs, and cloud platforms.
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