Data Engineering Manager in Exeter

Data Engineering Manager in Exeter

Exeter Full-Time Home office (partial)
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At a Glance

  • Tasks: Lead a team of Data Engineers and oversee data projects in a Microsoft tech environment.
  • Company: Join a forward-thinking company focused on data innovation.
  • Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
  • Other info: Immediate start available with flexible working arrangements.
  • Why this job: Make an impact by driving data projects and leading a talented team.
  • Qualifications: Experience in data engineering and strong leadership skills required.
  • Data Engineering Manager | Hybrid | Inside IR35 | £500 - £550 | Exeter
  • We are seeking an experienced

Data Engineering Manager to lead a high-performing data engineering function within a predominantly Microsoft technology environment.

This is a largely hands-off leadership role focused on team management, delivery oversight, and establishing best practices, while maintaining a strong understanding of modern data engineering technologies.

Key Responsibilities

  • Lead and develop a team of Data Engineers, providing coaching, guidance, and performance management.
  • Drive the successful delivery of data and analytics projects from a technical and strategic perspective.
  • Establish and continuously improve delivery processes, governance, and operational frameworks.
  • Collaborate with stakeholders to define priorities, roadmaps, and technical solutions.
  • Ensure best practices across data engineering, architecture, quality, and security.

If you are available immediately, can work 2 days on site in Exeter and suit the above job specification then please apply for the job advert directly or email me at (see below)

Data Engineering Manager | Hybrid | Inside IR35 | £500 - £550 | Exeter

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Data Engineering Manager in Exeter employer: Opus Recruitment Solutions Ltd

Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in Exeter. As a Data Engineering Manager, you will benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth within a supportive team environment. With a focus on best practices and modern technologies, this role provides a unique chance to lead impactful data projects while fostering your team's development.

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Contact Details:

Opus Recruitment Solutions Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineering Manager in Exeter

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 Opus Recruitment Solutions Ltd!

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 Manager at Opus Recruitment Solutions Ltd.

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 Opus Recruitment Solutions Ltd.

Apply Directly through Our Website

When you find a suitable opening like Data Engineering Manager at Opus Recruitment Solutions Ltd, 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 Manager in Exeter

Communication Skills
Problem-Solving Skills
Python
SQL
Data Engineering
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 Opus Recruitment Solutions Ltd, 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 Opus Recruitment Solutions Ltd. 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 Opus Recruitment Solutions Ltd

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 Opus Recruitment Solutions Ltd!

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.