Data Infra & Acquisition Engineer β€” Cloud Ingestion in Leeds

Data Infra & Acquisition Engineer β€” Cloud Ingestion in Leeds

Leeds Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build data pipelines and scale ingestion for AI-driven products.
  • Company: Join Speechify, a forward-thinking tech company in Leeds.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Dynamic team environment with exciting career advancement potential.
  • Why this job: Collaborate with AI researchers and make an impact on innovative solutions.
  • Qualifications: Experience in data infrastructure and cloud technologies is a plus.

The predicted salary is between 63000 - 77000 Β£ per year.

Speechify, Leeds, UK, seeks a Software Engineer for Data Infrastructure & Acquisition to build data pipelines, scale ingestion, and support model training.

You will work with scientists to optimize data quality, throughput, and cost while extending cloud infrastructure (GCP, Terraform) to power AI-driven products.

The role emphasizes collaboration with AI researchers and the broader engineering team, contributing to datasets that enable consumer and enterprise solutions.

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Data Infra & Acquisition Engineer β€” Cloud Ingestion in Leeds employer: Speechify

At Speechify, we pride ourselves on being an exceptional employer that champions innovation and inclusivity in a fully remote environment. Our entrepreneurial culture encourages collaboration and creativity, allowing you to make a significant impact while working alongside talented professionals from top tech companies. With competitive salaries and a commitment to employee growth, you'll thrive in a supportive atmosphere dedicated to transforming the way millions access information.

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Contact Details:

Speechify Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Infra & Acquisition Engineer β€” Cloud Ingestion in Leeds

✨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 Speechify!

✨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 Infra & Acquisition Engineer β€” Cloud Ingestion at Speechify.

✨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 Speechify.

✨Apply Directly through Our Website

When you find a suitable opening like Data Infra & Acquisition Engineer β€” Cloud Ingestion at Speechify, 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 Infra & Acquisition Engineer β€” Cloud Ingestion in Leeds

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

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 Speechify, 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 Speechify. 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 Speechify

✨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 Speechify!

✨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.