Lead Data engineer (Lead II - Software Engineering)

UST

Leeds, UKonsitePosted Jun 23, 2026
Posting intelligenceActively listed

Skills

databricksgithubpythonazure

About the role

Role description

Location: Leeds

Fixed term contract for 3 months to start with possible extensions

Immediate joiners preferred

Applicants must be legally authorized to work in the United Kingdom without the need for current or future visa sponsorship

Job Title :Lead Data Engineer

Role Description:

We’re looking for a Lead Data Engineer to join our Data Team. As the most senior engineer working across a number of squads, you’ll blend hands-on engineering with providing technical leadership and mentorship to data engineers. You will work closely with Product Managers, Visualisation Engineers, Data Analysts, Data Architects, and other stakeholders to deliver reliable, high-quality data products that drive strategic objectives. Additionally, you’ll play a central role in championing best practices and fostering continuous improvement, actively contributing within our Agile community of practice.

Key Responsibilities

Provide technical mentorship and direction to data engineers, helping to elevate team capability and maintain engineering standards, but also maximise their potential and promote career growth.

Foster a DevOps culture of “you build it, you run it, you own it”, promoting autonomy and ownership across the engineering organisation.

Lead best practices in data engineering, code reviews, and development activities, ensuring the highest quality standards. Contributing to the Lead Engineer & Agile communities of practice. Ensuring data quality and integrity.

Work with structured, semi-structured and structured data with varying latencies, from batch through to real-time.

Ensure engineering solutions comply with architectural frameworks and best practices defined by Data Architects.

Collaborate with Product Managers and Data Analysts to ensure business requirements are translated into scalable, performant data solutions.

Evaluate and recommend new technologies and tools to enhance data engineering capabilities.

Balance hands-on engineering responsibilities with technical leadership to drive high-quality delivery.

Experience & Qualifications

Proven experience building and maintaining high-quality, secure data solutions.

Skilled in operating scalable and high-performance applications in production environments. Prepare to be tenacious and collaborate to drive the right solutions forward.

Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience.

Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.)

Experience with Azure based solutions such as Azure Data Factory.

Extensive experience with languages such as Python, SQL and, preferably, PySpark.

Version control and best practices using Github.

Experience in working with Agile frameworks such as Scrum, Kanban, Lean.

Excellent communication skills, with the ability to clearly explain technical concepts to non-technical business stakeholders.

Demonstrated experience leading and mentoring data engineers.

If interested to know more, please apply with your updated CV for an immediate discussion

#UST

Skills

Azure data factory,Databricks,Data flow mapping,Data integration,

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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