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- Tasks: Join a dynamic team to develop data-driven solutions and manage complex datasets.
- Company: Work with a leading health company focused on innovation and growth.
- Benefits: Enjoy a hybrid work model with competitive pay and opportunities for professional development.
- Why this job: Make a real impact in healthcare by optimizing data processes and collaborating with stakeholders.
- Qualifications: Proficient in SQL, data warehousing, and ETL; programming skills in Python are a plus.
- Other info: This is a fixed-term contract for 6 or 12 months with potential for growth.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: Data Engineer – Hybrid – £45-£50k – FTC 6&12 months Location: London Uneek Global are partnering with a leading health company that have an exciting opportunity for Data Engineers to join a growing, innovative team! You’ll work on developing data-driven solutions, managing complex datasets, and building efficient data pipelines to support business insights. Key Responsibilities: * Design and maintain robust data warehousing solutions. * Build and optimise data pipelines, ensuring cost-effective performance. * Collaborate with stakeholders to define and deliver data requirements. * Drive continuous improvement in ETL processes and data accuracy. Your Skills & Experience: * Proficient in SQL, data warehousing, and ETL development. * Experience with cloud platforms. * Strong problem-solving and stakeholder communication skills. * Programming experience (e.g., Python) is a plus. Ready to join a passionate team and make a real impact? Apply now
Data Engineer employer: Uneek Global Ltd
Contact Detail:
Uneek Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with the specific cloud platforms mentioned in the job description. If you have experience with AWS, Azure, or Google Cloud, be ready to discuss how you've utilized these in your previous projects.
✨Tip Number 2
Brush up on your SQL skills and be prepared to demonstrate your ability to design and maintain data warehousing solutions. Consider practicing common SQL queries and data manipulation techniques that are relevant to the role.
✨Tip Number 3
Think about examples from your past work where you successfully collaborated with stakeholders to define data requirements. Be ready to share these experiences during the interview to showcase your communication skills.
✨Tip Number 4
Prepare to discuss your approach to continuous improvement in ETL processes. Have specific examples in mind that highlight your problem-solving abilities and how you've enhanced data accuracy in previous roles.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required skills, such as SQL proficiency and experience with cloud platforms.
Tailor Your CV: Customize your CV to highlight relevant experience in data warehousing, ETL development, and any programming skills you possess, like Python. Use specific examples that demonstrate your problem-solving abilities and stakeholder communication.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your skills align with the company's needs. Mention your experience with building data pipelines and driving improvements in ETL processes.
Double-Check Your Application: Before submitting, review your application for any errors or missing information. Ensure that all documents are formatted correctly and that your contact information is up to date.
How to prepare for a job interview at Uneek Global Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL, data warehousing, and ETL development. Bring examples of past projects where you successfully designed and maintained data solutions.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare to share specific challenges you've faced in previous roles and how you overcame them, particularly in data pipeline optimization.
✨Highlight Collaboration Experience
Since the role involves working with stakeholders, be ready to discuss your experience in collaborating with different teams. Share examples of how you defined and delivered data requirements effectively.
✨Familiarize Yourself with Cloud Platforms
As experience with cloud platforms is a requirement, make sure you can talk about your familiarity with them. If possible, mention any specific projects where you utilized cloud technologies to enhance data management.
