Lead Data Platform Engineer (Hybrid/Remote)

James Fisher and Sons; United Kingdom; Hybrid; GBP 85,000 - 125,000; Full time

Benefits offered by this job

Career growth

Diversity & inclusion

Competitive benefits

Impactful work

Job summary

James Fisher & Sons is seeking a Senior Data Engineer to lead the data platform and data products from a home-based hybrid setup in the UK. You will drive design, delivery, and governance of scalable, secure data solutions that empower operational and strategic insights across the business.

You will mentor a small data engineering team, translate business priorities into technical roadmaps, and ensure long-term integrity of the data platform while collaborating with product owners and

Qualifications

• Degree or equivalent in Computer Science, Information Technology, or a related field.
• Knowledge of BPMN2.0 flowcharts.
• Project Management training (PRINCE2, PMP, Agile, Scrum Master etc.).
• Knowledge of data modelling (UML).
• Knowledge of data maturity and data quality frameworks (DAMA).
• Strong expertise in Microsoft Azure, Fabric, Microsoft 365 platform.
• Fluency in SQL, Python (pandas, PySpark, REST API integration), M Power Query, DAX, JavaScript.
• Proven experience as a Data Architect, Data Engineer, or similar role.
• Extensive experience with database management systems, data modelling, data integration and data cleansing
• Proficiency in SQL, Power BI, Python pandas, UML, BPMN2.0 Process Mapping, Microsoft Visio or similar diagramming tools.
• Highly desirable: Fabric, Power Query, Power Automate, Python AI libraries and techniques (e.g. scikit-learn, Transformers).
• Experience with data warehousing, ETL processes, and data governance frameworks.
• Experience in Organisational Change Management.

Responsibilities

• Act as the senior technical authority for data engineering across the organisation.
• Define and enforce engineering standards, patterns, and best practices.
• Own key technical decisions and manage technical debt pragmatically.
• Manage, mentor and guide Data Engineers, supporting capability development and consistency.
• Design, build, and maintain an integrated data platform and lakehouse architecture that meets business needs.
• Develop and maintain logical and physical data models optimised for analytics and reporting.
• Ensure solutions are scalable, secure, performant, and cost effective.
• Evolve the data platform in line with business growth and emerging technologies.
• Design and implement robust data ingestion and integration pipelines from multiple source systems.
• Apply a medallion architecture (e.g. Bronze Silver Gold layers).
• Build curated, analytics ready datasets that are trusted and well documented.
• Ensure data quality, consistency, and traceability throughout the data lifecycle.
• Work closely with business Product Owners to translate prioritised outcomes into technical deliverables.
• Clarify requirements, identify dependencies, and propose realistic delivery options.
• Balance competing domain demands through transparent sequencing and planning.
• Communicate progress, risks, and trade-offs clearly to stakeholders.
• Implement and maintain data governance controls within engineering solutions.
• Support data quality monitoring, issue resolution, and continuous improvement.
• Contribute to and maintain technical documentation, data lineage, and metadata artefacts.
• Ensure compliance with data security, privacy, and regulatory requirements.

Skills

SQL

Python (pandas, PySpark)

Power BI

UML

BPMN2.0

Azure

Visio

Data Modeling

Data Governance

JavaScript

Education

Degree in Computer Science/IT or related field

Tools

Microsoft Fabric

Power Query

Power Automate

REST APIs

Job description

James Fisher & Sons is seeking a Senior Data Engineer to lead the data platform and data products from a home-based hybrid setup in the UK. You will drive design, delivery, and governance of scalable, secure data solutions that empower operational and strategic insights across the business.

You will mentor a small data engineering team, translate business priorities into technical roadmaps, and ensure long-term integrity of the data platform while collaborating with product owners and