Data Engineer – Enterprise Pipelines, BI & AI Insights

PD Ports Limited; Slapewath; Remote; GBP 50,000 - 75,000; Full time

Benefits offered by this job

25 days holiday

Maternity leave

Paternity leave

Adoption leave

Life insurance

Cycle to work scheme

Job summary

PD Ports Limited in the UK is hiring a data engineer to join the IT team at Lackenby House, Teesport. The role focuses on building and maintaining enterprise data pipelines and supporting the Data Warehouse platform.

You will work with the Business Insights Team, use SQL and Python, and apply Oracle data technologies and DevOps practices. Experience with Oracle AI Data Warehouse and Qlik Sense is a plus.

Qualifications

• Minimum 3-4 years’ experience in a Data Engineer, Data Warehouse Developer, Data Integration Developer, or similar role.
• Producing production‑grade data solutions within complex enterprise environments.
• Strong technical expertise in SQL, Python, Oracle data technologies, and modern DevOps practices, with experience developing and supporting enterprise-scale data solutions.
• Ideally has experience with Oracle AI Data Warehouse and Qlik Sense.

Responsibilities

• Specify, develop, deploy and maintain enterprise data pipelines, canonical data models, and data architecture for the Data Warehouse.
• Integrate data from multiple line-of-business systems into a trusted enterprise data platform supporting reporting, analytics, BI, AI and strategic decisions.
• Ensure high-quality, governed data products are available to enable reporting and analytics across the organisation.
• Collaborate with the Business Insights Team to understand reporting and analytics requirements.

Skills

Data engineering

Data pipelines

Data warehouse

SQL

Python

Tools

Oracle data technologies

DevOps

Oracle AI Data Warehouse

Qlik Sense

Job description

PD Ports Limited in the UK is hiring a data engineer to join the IT team at Lackenby House, Teesport. The role focuses on building and maintaining enterprise data pipelines and supporting the Data Warehouse platform.

You will work with the Business Insights Team, use SQL and Python, and apply Oracle data technologies and DevOps practices. Experience with Oracle AI Data Warehouse and Qlik Sense is a plus.