A leading organisation undergoing a significant digital transformation is looking to appoint a Principal Data Engineer to play a key role in shaping its enterprise data platform and future analytics capabilities.

Joining a growing Data & Integration function, you'll work alongside architects, product owners, and engineering teams to deliver modern, cloud-based data solutions that support business-critical decision-making. This is an opportunity to influence technical strategy, establish engineering standards, and drive the adoption of modern DataOps and cloud technologies across the organisation.

We are hiring a Principal Data Engineer to provide technical leadership across enterprise data engineering initiatives.

You'll be responsible for designing scalable cloud-based data platforms, building modern data pipelines, and defining engineering standards that enable secure, reliable, and high-performing data solutions.

• Design and implement enterprise-scale cloud data platforms and architectures

• Lead the development of scalable data pipelines, integration frameworks, and reusable data products

• Drive best practice across Data Engineering, DataOps, and DevOps

• Implement CI/CD pipelines, Infrastructure as Code, and automated deployment processes

• Ensure data quality, governance, security, lineage, and compliance across enterprise platforms

• Collaborate with architects, software engineers, analysts, and business stakeholders to deliver high-quality data solutions

• Support cloud migration and modernisation initiatives

• Optimise platform performance, scalability, and operational efficiency

• Mentor Data Engineers and provide technical leadership across the wider engineering function

• Evaluate emerging technologies and help shape the organisation's long-term data strategy

We're looking for an experienced Data Engineering leader with a passion for modern cloud technologies and enterprise-scale data platforms.

• 7 years' experience in Data Engineering, Data Platform Development, or Software Engineering

• Strong experience designing and implementing enterprise-scale data architectures

• Expertise with cloud platforms such as Microsoft Azure, AWS, or Google Cloud

• Advanced SQL and Python development skills

• Experience building ETL/ELT pipelines and modern data integration solutions

• Strong understanding of DataOps, DevOps, CI/CD, and Infrastructure as Code

• Experience with data modelling, data warehousing, and master data management

• Knowledge of data governance, metadata management, and data quality frameworks

• Hands-on experience with technologies such as Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Airflow, or similar

• Excellent stakeholder management and communication skills

• Experience mentoring engineers and providing technical leadership

• Strong analytical and problem-solving abilities

• Experience working within Agile delivery environments

• Cloud certifications (Azure, AWS, or GCP)

• TOGAF, DAMA CDMP, or Data Engineering certifications

• Experience with AI/ML platforms or MLOps

• Exposure to Data Mesh or Data Fabric architectures

• Enterprise Architecture experience

• Experience within Aerospace, Defence, Manufacturing, or other highly regulated industries

• Competitive salary

• Hybrid and flexible working options

• Opportunity to shape enterprise-wide data strategy and architecture

• Work with cutting-edge cloud technologies including Azure, Microsoft Fabric, Databricks, and Snowflake

• Technical leadership role with significant influence across the organisation

• Ongoing professional development and certification opportunities

• Collaborative engineering culture with genuine career progression

• Multi-stage interview process

• Technical and competency-based assessments

• Fast-moving recruitment process

Please apply ASAP with your CV to be considered for this opportunity.

For more information, contact [email protected] or call 0191 406 6111.

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