Head of Data Engineering & AI - Hybrid & Growth Leader

Head of Data Engineering & AI - Hybrid & Growth Leader

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Ultima

At a Glance

  • Tasks: Lead a specialist team to deliver innovative Data and AI solutions.
  • Company: Trustmarque Ultima, a forward-thinking tech company in the UK.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic environment with a focus on innovation and customer engagement.
  • Why this job: Shape the future of Data & AI while leading a high-performing team.
  • Qualifications: Extensive IT consulting experience and strong cloud technology skills.

The predicted salary is between 80000 - 100000 £ per year.

Trustmarque Ultima is seeking a Head of Data Engineering & AI in the UK to lead a specialist team in delivering cutting-edge solutions. The role combines technical leadership with customer engagement and offers a chance to shape the Data & AI practice.

Key responsibilities include:

  • Leading a high-performing team
  • Architecting Data and AI solutions
  • Supporting pre-sales activities

The ideal candidate will have extensive experience in IT consulting and strong skills in cloud technology.

Head of Data Engineering & AI - Hybrid & Growth Leader employer: Ultima

Trustmarque Ultima is an exceptional employer that fosters a dynamic and innovative work culture, where employees are encouraged to lead and shape the future of Data Engineering and AI. With a strong focus on professional development, team collaboration, and cutting-edge technology, this hybrid role offers unique opportunities for growth and engagement in a supportive environment, making it an ideal place for those looking to make a meaningful impact in the tech industry.

Ultima

Contact Details:

Ultima Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Engineering & AI - Hybrid & Growth Leader

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We think you need these skills to ace Head of Data Engineering & AI - Hybrid & Growth Leader

Technical Leadership
Data Engineering
AI Solutions Architecture
Customer Engagement
Team Leadership
IT Consulting
Cloud Technology

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 Ultima, 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 Ultima. 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 Ultima

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

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 Ultima!

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.