At a Glance
- Tasks: Lead a team of data engineers and deliver high-quality data solutions.
- Company: Join a dynamic tech company in Leeds with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for career growth.
- Other info: Collaborative environment with a focus on continuous improvement and Agile practices.
- Why this job: Make an impact by driving best practices in data engineering and mentoring others.
- Qualifications: Experience in data engineering, Azure tools, and strong leadership skills required.
The predicted salary is between 63000 - 77000 £ per year.
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 Dev Ops 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.
About You (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, Py Spark.
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.
Interested in joining a high-performing data engineering team?
Apply today for a confidential discussion with our Talent Acquisition team.#UST
Lead Data engineer (Lead II - Data Engineering) in Leeds employer: UST Global
As a Salesforce Delivery Lead at our London office, you will join a dynamic and innovative team within the Financial Services sector, where collaboration and excellence are at the forefront of our work culture. We offer a hybrid working model that promotes work-life balance, alongside opportunities for professional growth through continuous learning and development. Our commitment to Agile practices ensures that you will be part of high-performing teams that drive meaningful change and deliver exceptional value to our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data engineer (Lead II - Data Engineering) in Leeds
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We think you need these skills to ace Lead Data engineer (Lead II - Data Engineering) in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at UST Global, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UST Global. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UST Global
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UST Global!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
