Principal Data Engineer

Job Title: Principle Data Engineer

Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: £58,000 - £87,000
Location: Eastleigh hybrid
Work Level: WL4
Closing Date for applications: Tuesday 4th February

Principle Data Engineer: We are seeking a dynamic Principle Data Engineer to design, build, and manage our data infrastructure and systems, supporting our organisation's data strategy. The ideal candidate will possess strong leadership skills, deep technical expertise, and a collaborative approach to ensure our data solutions are scalable, secure, and aligned with business goals.

As a Principle Data Engineer, this involves designing scalable solutions, optimising data systems, and collaborating with various teams to support data-driven decision-making. You will also mentor junior engineers, ensuring best practices and innovative techniques are implemented to enhance overall data infrastructure and strategy alignment with business goals.

Main Responsibilities include:

1. Deliver the technical vision and roadmap for the organisation's data infrastructure.
2. Collaborate with stakeholders to align data solutions with business objectives.
3. Mentor engineers, fostering skill development and best practices.
4. Design and implement scalable, high-performance data architectures.
5. Define standards for data modelling, storage, and retrieval.
6. Integrate data technologies, tools, and platforms (e.g., cloud platforms, databases, ETL/ELT pipelines).
7. Oversee the development of data pipelines and workflows for ingesting, transforming, and delivering data.
8. Optimize and maintain data systems, ensuring reliability, security, and scalability.
9. Implement data governance practices, including data quality, lineage, and compliance.
10. Work closely with cross-functional teams (engineering, analytics, product) to identify data needs and deliver solutions.

Skills and experience required:

1. Minimum of 8+ years in data engineering or related roles, with at least 3 years in a leadership or principal capacity.
2. Experience with Snowflake and Matillion preferred.
3. 3+ years of experience in hands-on build of large scale real-time and/or batch data pipelines.
4. Experience with Big Data/Hadoop/NoSQL, ETL tools, data lake and data warehouse creation a distinct advantage.
5. Proven track record of delivering large-scale, mission-critical data solutions.
6. Experience in following a software development lifecycle, including requirements capture, design, build and testing.
7. Understanding big data concepts in processing data in real-time and in batch, with understanding of Data Lakes and Data Warehouses.
8. Proficiency in Python, Java, SQL, or similar languages.

For more information, please contact Adam Upton, Wendy Pilton or Sarah Daines in Recruitment.