Data Platform Lead for Analytics & AI Pipelines

Data Platform Lead for Analytics & AI Pipelines

Full-Time 59400 - 72600 £ / year (est.) No working from home possible
S

At a Glance

  • Tasks: Lead the design and evolution of our enterprise data platform and guide data pipelines.
  • Company: Join SLR Consulting Ltd, a leader in data engineering and analytics.
  • Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and mentorship.
  • Why this job: Make a real impact by shaping data solutions for analytics and AI initiatives.
  • Qualifications: Experience in data engineering and strong leadership skills required.

The predicted salary is between 59400 - 72600 £ per year.

SLR Consulting Ltd is seeking a Data Engineering Lead to provide technical and operational leadership for our data engineering capability. You will design and evolve the enterprise data platform, guide data pipelines and data assets, and ensure scalable, trusted solutions across reporting, analytics, digital, and AI initiatives.

You will mentor engineers, uphold engineering standards (CI/CD, testing, IaC), and collaborate with analytics and business stakeholders to translate priorities into actionable tasks.

Data Platform Lead for Analytics & AI Pipelines employer: SLR Consulting Ltd

SLR is an exceptional employer, offering a collaborative and people-first culture that prioritises employee growth and development. With a strong focus on sustainability, the company provides numerous benefits including flexible working arrangements, comprehensive health insurance, and structured career progression opportunities, making it an ideal place for professionals in transport planning to thrive and make a meaningful impact in Exeter.

S

Contact Details:

SLR Consulting Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Platform Lead for Analytics & AI Pipelines

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 SLR Consulting 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 Platform Lead for Analytics & AI Pipelines at SLR Consulting 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 SLR Consulting Ltd.

Apply Directly through Our Website

When you find a suitable opening like Data Platform Lead for Analytics & AI Pipelines at SLR Consulting 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 Platform Lead for Analytics & AI Pipelines

Problem-Solving Skills
SQL
Python
Communication Skills
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 SLR Consulting 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 SLR Consulting 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 SLR Consulting 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 SLR Consulting 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.