Remote Data Engineer — Build Trusted Data Platforms
Remote Data Engineer — Build Trusted Data Platforms

Remote Data Engineer — Build Trusted Data Platforms

Full-Time 28800 - 43200 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Build scalable ELT/ETL pipelines and enhance data quality.
  • Company: Leading data solutions company with a focus on innovation.
  • Benefits: Remote work, supportive environment, and opportunities for growth.
  • Why this job: Join a dynamic team and make an impact in data engineering.
  • Qualifications: 2+ years in data engineering and strong SQL skills required.
  • Other info: Collaborate with stakeholders to drive insights and improve data platforms.

The predicted salary is between 28800 - 43200 £ per year.

A leading data solutions company is seeking a Data Engineer to join their remote team, focusing on modernising their data platform. The successful candidate will build scalable ELT/ETL pipelines and collaborate with various stakeholders to enhance data quality and drive insights.

This role requires:

  • 2+ years in data engineering
  • Strong SQL skills
  • A proactive communication style to translate technical concepts to non-technical audiences

A great opportunity to grow in a supportive environment.

Remote Data Engineer — Build Trusted Data Platforms employer: Datatech Analytics

Join a leading data solutions company that prioritises innovation and collaboration in a fully remote setting. With a strong focus on employee growth, you will have access to continuous learning opportunities and a supportive work culture that values your contributions. Enjoy the flexibility of remote work while being part of a team dedicated to building trusted data platforms and driving impactful insights.
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Contact Detail:

Datatech Analytics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Remote Data Engineer — Build Trusted Data Platforms

Tip Number 1

Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Prepare for the interview by brushing up on your SQL skills and understanding ELT/ETL processes. We want to show that we can build those scalable pipelines they’re after, so practice explaining your past projects clearly.

Tip Number 3

Don’t underestimate the power of a follow-up! After an interview, drop a quick thank-you email to express our appreciation. It keeps us on their radar and shows our enthusiasm for the role.

Tip Number 4

Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our submission to highlight how we fit the role perfectly.

We think you need these skills to ace Remote Data Engineer — Build Trusted Data Platforms

Data Engineering
ELT/ETL Pipelines
SQL
Data Quality Enhancement
Stakeholder Collaboration
Proactive Communication
Technical Translation
Scalability

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your SQL skills and any experience you have with ELT/ETL pipelines. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!

Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience can help modernise our data platform and improve data quality. We love seeing candidates who take the time to connect their skills to what we do!

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past experiences and how they relate to the job. Remember, we’re looking for someone who can communicate technical concepts effectively to non-technical folks!

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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!

How to prepare for a job interview at Datatech Analytics

Know Your Data Engineering Basics

Make sure you brush up on your data engineering fundamentals, especially around ELT/ETL processes. Be ready to discuss your experience with building scalable pipelines and how you've tackled data quality issues in the past.

Show Off Your SQL Skills

Prepare to demonstrate your SQL prowess during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL scenarios and be ready to explain your thought process.

Communicate Clearly

Since this role involves translating technical concepts to non-technical stakeholders, practice explaining complex ideas in simple terms. Think of examples from your past work where you successfully communicated technical details to a diverse audience.

Research the Company Culture

Take some time to understand the company’s values and culture. This will help you tailor your responses to show how you align with their mission and how you can contribute to a supportive environment.

Remote Data Engineer — Build Trusted Data Platforms
Datatech Analytics

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