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- 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: £70K – £80K
Location: London – Flexible working
Data Idols are working with a fast-growing, product-led tech company to hire a Data Engineer and help shape the data platform. You’ll take ownership of data pipelines, infrastructure, and architecture that underpin high stakes domains like payments, customer operations, and financial forecasting.
The Opportunity
In this position, you’ll take ownership of designing durable data pipelines and foundational models that serve multiple teams. You’ll collaborate closely with engineers, analysts, and product stakeholders to deliver scalable solutions that support both day-to-day operations and long-term strategy. This is a role where your technical decisions will directly influence how data drives business insights, product performance, and customer experience.
Skills and Experience
- Strong Python
- Experience working with GCP
- SQL
- Commercial experience working with dbt
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Data Engineer
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Data Engineer employer: Data Science Festival
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
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.
