At a Glance
- Tasks: Lead a dynamic team to deliver top-notch regulatory reporting solutions.
- Company: Innovative firm at the forefront of digital solutions and technology.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Exciting career growth in a high-performing, collaborative environment.
- Why this job: Join a forward-thinking company and make an impact with cutting-edge technology.
- Qualifications: Experience in data engineering and strong leadership skills.
The predicted salary is between 70000 - 85000 £ per year.
Permanent Location: Manchester (2 days per week onsite)
Salary: 70,000- 85,000 dependent on experience
About the Client
Our client is renowned for its commitment to innovation, scalability, and cutting-edge technology. Operating at the forefront of digital solutions, they leverage bespoke and third-party systems to drive efficiency and enhance business operations. Within the department in which this role sits, they are dedicated to developing and integrating advanced technology solutions, including AI-driven products, to support growth and sustainability. This is an exciting opportunity to join a forward-thinking organisation that prioritises technological evolution and continuous improvement.
How you’ll spend your day
As the Regulatory Data Team Leader, you’ll lead a cross-functional engineering team responsible for delivering high-quality regulatory reporting solutions that support a complex, business-critical technology platform. Working within a high-performing Data Engineering function, you’ll oversee the development of software and reporting systems that deliver jurisdiction-specific reporting to international regulators. These solutions operate within a high-throughput, distributed architecture and are built to exceptionally high standards, where reliability, accuracy and performance are paramount. Alongside leading the team, you’ll help drive the adoption of AI-powered tooling, improve delivery processes, and ensure the team meets its objectives.
Data Engineering Team Lead employer: BIOMETRIC TALENT
As a Senior Application Security Specialist at our client’s global technology-led organisation in Manchester, you will thrive in a dynamic work culture that prioritises innovation and collaboration. With competitive benefits including a generous salary, car allowance, and bonus scheme, the company is committed to employee growth and development, offering ample opportunities for professional advancement within a supportive environment. Join a team that values your expertise and contributes to high-impact projects in a thriving city known for its vibrant tech scene.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Team Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BIOMETRIC TALENT!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineering Team Lead at BIOMETRIC TALENT.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BIOMETRIC TALENT.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Team Lead at BIOMETRIC TALENT, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineering Team Lead
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BIOMETRIC TALENT, 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 BIOMETRIC TALENT. 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 BIOMETRIC TALENT
✨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!
✨Showcase Your Projects
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 BIOMETRIC TALENT!
✨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.
