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- Tasks: Join a dynamic team to enhance data capabilities and collaborate with various stakeholders.
- Company: A growing company in London focused on expanding their data team and capabilities.
- Benefits: Enjoy flexible working hours, a competitive salary, and a 10% pension contribution.
- Why this job: Be part of a strategic team making impactful decisions while enjoying a hybrid work environment.
- Qualifications: Experience in data engineering, database design, ETL processes, and Azure technologies required.
- Other info: Permanent role for UK residents only; background checks may apply.
The predicted salary is between 49600 - 62400 £ per year.
My client are recruiting for a Data Engineer to join their expanding data team in the centre of London, one day a week in office, four days from home. The team are looking to enhance their data capabilities to ensure they reach their strategic goals. Outside of technical skills, you will communicate frequently with stakeholders and work with a range of teams.
Salary and Benefits
- Competitive salary from £58k - £63k (DOE)
- Flexible working, one day per week in London office
- Pension contribution of 10%
- Flexible working hours
- And many more
Requirements
- Data engineering and development experience
- Database design
- ETL Processes
- Data Warehousing
- Azure SQL and SSIS
- Azure Data Factory
Please Note: This is a permanent role for UK only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Data Engineer - London - Hybrid - £60k employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - London - Hybrid - £60k
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure SQL, SSIS, and Azure Data Factory. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in the data engineering field. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data warehousing in detail. Be ready to share specific examples of how you've successfully implemented these in past roles, as this will demonstrate your practical knowledge.
✨Tip Number 4
Since communication with stakeholders is key, practice articulating complex technical concepts in simple terms. This will help you convey your ideas effectively during interviews and show that you can bridge the gap between technical and non-technical teams.
We think you need these skills to ace Data Engineer - London - Hybrid - £60k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, database design, and ETL processes. Use keywords from the job description to demonstrate that you meet the requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your technical skills and explains how your experience aligns with the company's goals. Mention your ability to communicate with stakeholders and work collaboratively with teams.
Showcase Relevant Projects: If you have worked on specific projects involving Azure SQL, SSIS, or Azure Data Factory, include these in your application. Briefly describe your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Skills
Make sure to highlight your experience with data engineering, database design, and ETL processes. Be prepared to discuss specific projects where you've used Azure SQL, SSIS, or Azure Data Factory, as this will demonstrate your technical proficiency.
✨Communicate Effectively
Since the role involves frequent communication with stakeholders, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical teams, which is crucial for the position.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world data challenges. Think of examples from your past experiences where you successfully solved problems or improved processes, and be ready to share these during the interview.
✨Research the Company and Its Goals
Understanding the company's strategic goals and how the data team fits into them will help you tailor your responses. Show enthusiasm for their mission and explain how your skills can contribute to achieving those objectives.
