Lead Data Solutions Engineer: AI-Powered Pipelines in Birmingham

Lead Data Solutions Engineer: AI-Powered Pipelines in Birmingham

Birmingham Full-Time 60000 - 72000 £ / year (est.) Home office (partial)
AND Digital

At a Glance

  • Tasks: Design and build AI-powered data pipelines for diverse clients.
  • Company: AND Digital, a forward-thinking tech company in the UK.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Fast-paced environment with excellent career advancement potential.
  • Why this job: Join agile teams to create impactful data solutions using cutting-edge technology.
  • Qualifications: Experience in data engineering and strategic problem-solving skills.

The predicted salary is between 60000 - 72000 £ per year.

AND Digital in the United Kingdom is seeking a Lead Data Solution Engineer to design, build and operate data pipelines for clients across industries.

You’ll work in fast-moving agile teams, delivering modern data platforms and AI-enabled solutions on AWS, Azure, GCP or Snowflake.

You’ll combine hands-on data engineering with strategic thinking, ensuring data quality, governance and usability for downstream consumers.

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Lead Data Solutions Engineer: AI-Powered Pipelines in Birmingham employer: AND Digital

AND Digital in Reading is an exceptional employer that prioritises a flexible work environment and fosters a culture of curiosity and inclusion. Employees benefit from continuous development opportunities, allowing them to grow their skills while mentoring junior analysts and collaborating on impactful client projects. This commitment to employee growth and a supportive atmosphere makes AND Digital a rewarding place to advance your career in data analysis.

AND Digital

Contact Details:

AND Digital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Solutions Engineer: AI-Powered Pipelines in Birmingham

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 AND Digital!

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 Lead Data Solutions Engineer: AI-Powered Pipelines at AND Digital.

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 AND Digital.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Solutions Engineer: AI-Powered Pipelines at AND Digital, 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 Solutions Engineer: AI-Powered Pipelines in Birmingham

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
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 AND Digital, 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 AND Digital. 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 AND Digital

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 AND Digital!

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.