Data Engineer

Data Engineer

London Freelance Home office (partial)
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At a Glance

  • Tasks: Join us as a Full-stack Data Engineer to modernise data pipelines and reporting.
  • Company: Data Idols partners with a national software company focused on enhancing public sector data solutions.
  • Benefits: Earn up to £500 a day in a fast-paced, dynamic start-up environment with hybrid work options.
  • Why this job: Be part of an exciting team, using cutting-edge tech to improve data handling and processes.
  • Qualifications: Experience with modern data technologies and visualisation tools like Power BI or Tableau is essential.
  • Other info: Ideal for those with a passion for data and a desire to make a real impact.

Data Engineer

Salary: £400 – £500 a day

Location: London, Hybrid

Data Idols are working with a national software company that helps the public sector build better data solutions. They are looking for a Full-stack Data Engineer contractor to join them for an initial three months to assist in modernising data pipelines, data standards and data reports.

The Opportunity

As a Full-stack Engineer, you will be responsible for improving data structures, pipelines and reporting. You will also work closely with the CTO to review the reports and implement any necessary changes or improvements. In this exciting role, you will use the modern tech stack to bring a more structured approach to data handling and development processes.

What’s in it for you?

  • Up to £500 a day
  • Working within a fast-paced dynamic start-up environment

Skills and Experience

  • Experience working with modern data technologies
  • Experience in working with a modern visualisation tool such as Power BI, Tableau, Looker and Qlikview
  • Good communication
  • Desirable – any experience in software engineering will be beneficial, such as Java, .Net

If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below.

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Data Engineer employer: Data Science Festival

Data Idols is an exceptional employer, offering a vibrant and dynamic start-up environment in London where innovation thrives. With competitive daily rates and a strong focus on employee growth, you will have the opportunity to work closely with industry leaders while modernising data solutions that make a real impact in the public sector. Join us to enhance your skills with cutting-edge technologies and contribute to meaningful projects that shape the future of data handling.
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Contact Detail:

Data Science Festival Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Familiarise yourself with the specific data technologies mentioned in the job description. Brush up on your skills with modern visualisation tools like Power BI or Tableau, as these will be crucial for the role.

✨Tip Number 2

Network with professionals in the data engineering field, especially those who have experience in the public sector. Engaging with them can provide insights into the company culture and expectations.

✨Tip Number 3

Prepare to discuss your previous projects that involved data pipelines and reporting. Be ready to explain your thought process and the impact of your work, as this will demonstrate your hands-on experience.

✨Tip Number 4

Showcase your communication skills during any interviews or discussions. Since you'll be working closely with the CTO, being able to articulate your ideas clearly will set you apart from other candidates.

We think you need these skills to ace Data Engineer

Data Pipeline Development
Data Structure Optimisation
Data Reporting
Experience with Modern Data Technologies
Proficiency in Visualisation Tools (e.g., Power BI, Tableau, Looker, Qlikview)
Strong Communication Skills
Software Engineering Knowledge (e.g., Java, .Net)
Problem-Solving Skills
Collaboration Skills
Adaptability to New Technologies
Attention to Detail
Analytical Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with modern data technologies and visualisation tools like Power BI or Tableau. Emphasise any relevant projects that showcase your skills in improving data structures and pipelines.

Craft a Compelling Cover Letter: Write a cover letter that explains why you're a great fit for the Data Engineer role. Mention your experience with data handling and development processes, and express your enthusiasm for working in a fast-paced start-up environment.

Showcase Communication Skills: Since good communication is a key requirement, include examples in your application that demonstrate your ability to collaborate effectively with teams, especially in relation to reviewing reports and implementing changes.

Highlight Software Engineering Experience: If you have any experience in software engineering, such as with Java or .Net, be sure to mention it. This could set you apart from other candidates and show your versatility as a Full-stack Data Engineer.

How to prepare for a job interview at Data Science Festival

✨Showcase Your Technical Skills

Be prepared to discuss your experience with modern data technologies and visualisation tools like Power BI or Tableau. Bring examples of past projects where you improved data structures or pipelines, as this will demonstrate your hands-on expertise.

✨Communicate Clearly

Good communication is key in this role, especially since you'll be working closely with the CTO. Practice explaining complex technical concepts in simple terms, as this will show your ability to collaborate effectively with non-technical stakeholders.

✨Understand the Company’s Goals

Research the company and its mission to help the public sector build better data solutions. Being able to articulate how your skills align with their goals will make a strong impression and show that you're genuinely interested in the role.

✨Prepare for Problem-Solving Questions

Expect questions that assess your problem-solving abilities, particularly in relation to data handling and development processes. Think of scenarios where you've faced challenges in data engineering and how you overcame them, as this will highlight your critical thinking skills.

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