Lead Data Platform Engineer & Team Mentor in Darwen

Lead Data Platform Engineer & Team Mentor in Darwen

Darwen Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a team to enhance data platforms and solve complex technical challenges.
  • Company: Blackburn with Darwen Council, committed to innovative IT solutions.
  • Benefits: Competitive salary, career development, and a supportive work environment.
  • Other info: Join a dynamic team focused on impactful data projects.
  • Why this job: Make a real difference in data management while mentoring future tech leaders.
  • Qualifications: Proven experience in enterprise data platforms and strong leadership skills.

The predicted salary is between 60000 - 80000 £ per year.

Blackburn with Darwen Council is seeking a Lead Data Engineer to provide senior technical leadership across IT services.

In this role, you'll oversee the operational delivery and improvement of data platforms, acting as the primary escalation point for complex issues while managing a dedicated team of Engineers and Analysts.

The position offers opportunities for technical delivery of data projects and building relationships with stakeholders.

Ideal candidates will have strong experience in enterprise data platforms and team leadership.

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Contact Details:

Blackburn with Darwen Council Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Platform Engineer & Team Mentor in Darwen

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Apply Directly through Our Website

When you find a suitable opening like Lead Data Platform Engineer & Team Mentor at Blackburn with Darwen Council, 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 Lead Data Platform Engineer & Team Mentor in Darwen

Problem-Solving Skills
Communication Skills
Python
Data Engineering
SQL
Data Pipeline Development
API Integration

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 Blackburn with Darwen Council, 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 Blackburn with Darwen Council. 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 Blackburn with Darwen Council

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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Get Comfortable with Python and R

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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.