Senior Data Engineer

TRIA; Greater London; Remote; GBP 90,000 - 130,000; Full time

Job summary

TRIA is seeking a Senior Data Engineer to join its growing technology function, remote in the UK with occasional travel to London. You will lead the design and delivery of data pipelines, models and analytics-ready datasets using Python, SQL and Azure Synapse, with Power BI as the reporting layer.

You will influence engineering standards, patterns and best practices across a group-wide data platform, and contribute to the evolution of Microsoft Fabric as part of the platform's ongoing

Qualifications

• Hands-on data engineering experience building and maturing cloud data platforms.
• Strong Python and SQL skills with practical Azure Synapse Analytics experience.
• Experience delivering analytics-ready datasets and data models for Power BI.
• Understanding of lakehouse/warehouse patterns, data quality, governance and security.

Responsibilities

• Build, maintain and extend data ingestion, transformation and orchestration pipelines using Python, SQL and Azure technologies.
• Develop and optimise data solutions within Azure Synapse Analytics, supporting the ongoing development of the wider data platform.
• Develop data models and curated datasets to support Power BI, analytics and data science.
• Help establish engineering standards, reusable patterns and best practices across a growing data platform.
• Work across multiple enterprise source systems and data domains, with responsibility for data quality, governance, security and platform performance.
• Contribute to the ongoing development of the platform, including its adoption and use of Microsoft Fabric.
• Provide technical guidance to other engineers and help develop the wider organisation's use of its data platform.

Skills

Python

SQL

Azure Synapse Analytics

Power BI

Microsoft Fabric

Data Pipelines

Job description

UK Remote | Occasional travel to London (approximately 1-2 times per month)

Exciting opportunity for a Senior Data Engineer to join a growing technology function at an important stage of its data transformation journey.

The business is developing a new group-wide data platform using Azure, with Power BI as the primary analytics and reporting layer. This is a hands-on role with genuine scope to influence how the platform is built, establishing engineering standards, patterns and best practices as the data environment continues to mature. Microsoft Fabric is also part of the platform's ongoing development, offering the opportunity to contribute to its evolution.

You will take a leading role in building and extending data pipelines, working with Python, SQL and Fabric across a broad range of enterprise source systems and data domains. You'll also help shape the technical standards for the platform, ensuring data is reliable, secure, governed and accessible across the organisation.

The Role:

• Build, maintain and extend data ingestion, transformation and orchestration pipelines using Python, SQL and Azure technologies.
• Develop and optimise data solutions within Azure Synapse Analytics, supporting the ongoing development of the wider data platform.
• Develop data models and curated datasets to support Power BI, analytics and data science.
• Help establish engineering standards, reusable patterns and best practices across a growing data platform.
• Work across multiple enterprise source systems and data domains, with responsibility for data quality, governance, security and platform performance.
• Contribute to the ongoing development of the platform, including its adoption and use of Microsoft Fabric.
• Provide technical guidance to other engineers and help develop the wider organisation's use of its data platform.

The Person:

• Strong commercial experience as a hands-on Data Engineer, ideally having helped build or mature a cloud data platform rather than solely operating an established environment.
• Strong hands-on experience with Python and SQL, alongside practical experience building data platforms using Azure Synapse Analytics and wider Azure technologies.
• Experience building and maintaining production data pipelines, data models and analytics-ready datasets, ideally with Power BI as a consumption layer.
• Good understanding of modern data architecture, including lakehouse and warehouse patterns, data quality, governance and security.
• Experience with Microsoft Fabric would be beneficial, but the key requirement is a strong foundation in Python, Synapse and building data platforms.
• Comfortable working across a complex or multi-site organisation and collaborating with architects, analysts, data scientists and wider technology teams.

This is a fantastic opportunity to join a well-established business at a relatively early stage of its data journey, taking on a key hands-on engineering role with genuine influence over how its group-wide data platform develops. You'll have the opportunity to work with established Azure technologies while contributing to the platform's evolution, including its use of Microsoft Fabric.