Remote Senior Data Engineer (AI/ML) – Impact & Growth in Swindon
Remote Senior Data Engineer (AI/ML) – Impact & Growth

Remote Senior Data Engineer (AI/ML) – Impact & Growth in Swindon

Swindon Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build scalable data pipelines and enhance our optimisation engine.
  • Company: Dynamic tech firm with a focus on impact and growth.
  • Benefits: Flexible hours, professional growth opportunities, and a diverse culture.
  • Why this job: Influence data direction on impactful projects while working remotely.
  • Qualifications: 5+ years experience in Python and ETL/ELT pipelines.
  • Other info: Join a collaborative team that values diversity and innovation.

The predicted salary is between 43200 - 72000 £ per year.

A tech firm is seeking a Remote Senior Data Engineer to build scalable data pipelines and power their optimization engine. The ideal candidate will have over 5 years of experience, strong proficiency in Python, and expertise in ETL/ELT pipelines, with the ability to work collaboratively in a remote environment.

The company offers flexible hours, professional growth opportunities, and a culture that embraces diversity. This is an exciting opportunity for those looking to influence the data and architectural direction of impactful projects.

Remote Senior Data Engineer (AI/ML) – Impact & Growth in Swindon employer: Founderful

Join a forward-thinking tech firm that prioritises flexibility and professional development, making it an excellent employer for a Remote Senior Data Engineer. With a commitment to diversity and a collaborative remote work culture, employees are empowered to influence significant projects while enjoying the benefits of flexible hours and ample growth opportunities.
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Contact Detail:

Founderful Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Remote Senior Data Engineer (AI/ML) – Impact & Growth in Swindon

Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and ETL/ELT pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for virtual interviews by practising common questions related to data engineering and AI/ML. We recommend setting up mock interviews with friends or using online platforms to get comfortable with the format.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.

We think you need these skills to ace Remote Senior Data Engineer (AI/ML) – Impact & Growth in Swindon

Data Engineering
Python
ETL/ELT Pipelines
Scalable Data Pipelines
Collaboration
Remote Work
Data Architecture
Impactful Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python and ETL/ELT pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this role and how you can contribute to our team. Keep it personal and let your passion for data engineering come through.

Showcase Your Remote Work Skills: Since we’re all about remote collaboration, mention any previous remote work experiences. Highlight how you’ve successfully worked in teams from afar and any tools you’ve used to stay connected.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at Founderful

Know Your Tech Inside Out

Make sure you brush up on your Python skills and understand the intricacies of ETL/ELT pipelines. Be ready to discuss specific projects where you've built scalable data pipelines, as this will show your hands-on experience and technical prowess.

Showcase Your Collaboration Skills

Since this role is remote, it's crucial to demonstrate your ability to work well with others. Prepare examples of how you've successfully collaborated with teams in the past, especially in a remote setting. Highlight any tools or methods you used to maintain effective communication.

Understand the Company’s Impact

Research the tech firm and its projects to understand how they influence the industry. Be prepared to discuss how your skills can contribute to their goals, particularly in terms of optimising their data engine and driving impactful projects.

Embrace Diversity and Growth

Familiarise yourself with the company culture that embraces diversity. Be ready to share your thoughts on how diverse teams can enhance project outcomes and your own professional growth. This shows that you align with their values and are eager to contribute positively.

Remote Senior Data Engineer (AI/ML) – Impact & Growth in Swindon
Founderful
Location: Swindon

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