Lead Data engineer (Lead II - Data Engineering)
Role description Location: Leeds, W. Yorkshire(Hybrid\- 3 days working from onsite\-Mandatory)
Immediate start
Permanent/ Contract inside IR35/ Fixed term contract
Applicants legally authorized to work in the United Kingdom without the need for visa sponsorship preferred
We’re looking for a Lead Data Engineer to join our client's 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 client’s 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.
Your Role (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 unstructured 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.
- 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.
\#UST
Skills
SQL, Python, Microsoft Azure, Azure Data Factory, Databricks
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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