Principle Data Engineer

REMOTE POSITION - Can be based anywhere in the UK

Position Overview:

As a Principal Data Engineer you will be hands-on, leading the development of the data elements of our cloud-native SaaS products in the Product Lifecycle Management (PLM) domain. The ideal candidate will possess a deep understanding of a wide variety of modern data technologies (in both operational and analytical domains) as well as demonstrable experience delivering complex, multi-tier data solutions.

You will have excellent experience of cloud technologies, data engineering best practices and will be comfortable leading a team in the delivery of cutting-edge SaaS solutions in high pressure environments.

Key Responsibilities:

• Lead the detailed design, development and delivery of cloud-native data solutions inline with approved data architecture and high-level designs.
• Collaborate with Software, Data, Security and Infrastructure architects to help define architectural standards, design principles, and best practices for cloud-native applications.
• Collaborate with cross-functional teams including product management, UX/UI design, and quality assurance to deliver high-quality software.
• Mentor and guide data engineers, fostering a culture of continuous improvement and professional development.
• Ensure the scalability, reliability, and security of data solutions through effective design and testing.
• Drive the adoption of DevOps practices to streamline CI/CD processes.
• Propose, evaluate and integrate new technologies and tools to enhance the development process.
• Participate in code reviews, design reviews, and technical discussions.
• Monitor and optimise application performance, addressing any issues proactively.
• Stay updated with industry trends and advancements in cloud computing technologies.

Qualifications:

• 5+ years experience as a Data Engineer.
• Strong understanding of wide range of modern data concepts and technologies, including: OLTP, OLAP, enterprise data warehousing, data lakes/lake-house, data storage (parquet/iceberg/delta), streaming, document databases, graphs databases, data quality frameworks, data observability, data visualisation, orchestration and micro-services architecture.
• Proficiency in delivering data solutions using programming languages/frameworks such as SQL, NoSQL, Python, Spark.
• Proven track record of leading and mentoring engineering teams.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong knowledge of software development best practices and design patterns
• Strong communication and collaboration skills.
• Experience with CI/CD practices.

Preferred Qualifications:

• Experience with SaaS product development and multi-tenant architectures.
• APIs.
• Familiarity with Agile/Scrum methodologies.