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- Tasks: Develop and maintain scalable ETL/ELT processes for a growing data platform.
- Company: Join a leading player in the private medical sector focused on innovative data solutions.
- Benefits: Enjoy flexible hybrid/remote work options and a supportive work environment.
- Why this job: Transform raw data into actionable insights while collaborating with diverse teams.
- Qualifications: Strong experience in data architecture, Microsoft Azure tools, and SQL Server required.
- Other info: Ideal for problem solvers who thrive in a dynamic, tech-driven culture.
The predicted salary is between 43200 - 72000 £ per year.
My client is seeking a Senior Data Engineer to develop and maintain scalable ETL/ELT processes and manage a growing data platform. Working closely with stakeholders and technical teams, you'll help transform raw data into actionable insights that support business strategy. Success in this role requires strong problem-solving skills, structured database design, and clear communication.
- Strong experience with data architecture and modelling
- Proficiency in Microsoft Azure data tools, especially Microsoft Fabric, OneLake, and Data Factory
- Expertise in SQL Server and T-SQL
- Power BI, Tableau, SSIS, SSAS, or other Azure ETL tools
Senior Data Engineer - Remote/Hybrid employer: Atlas Recruitment Group Ltd
Contact Detail:
Atlas Recruitment Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Remote/Hybrid
✨Tip Number 1
Familiarise yourself with Microsoft Azure data tools, especially Microsoft Fabric and Data Factory. Consider taking online courses or tutorials to deepen your understanding, as this will demonstrate your commitment and expertise during interviews.
✨Tip Number 2
Network with professionals in the private medical sector who are already working as data engineers. Join relevant LinkedIn groups or attend industry meetups to gain insights and potentially get referrals for the position.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented ETL/ELT processes. Be ready to explain your problem-solving approach and how you transformed raw data into actionable insights that benefited the business.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex technical concepts in simple terms. This is crucial when collaborating with stakeholders who may not have a technical background.
We think you need these skills to ace Senior Data Engineer - Remote/Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data architecture, SQL Server, and Azure tools. Use specific examples of projects where you've developed ETL/ELT processes or transformed data into insights.
Craft a Compelling Cover Letter: In your cover letter, emphasise your problem-solving skills and ability to communicate effectively with stakeholders. Mention your familiarity with Microsoft Fabric and other relevant tools, and explain how you can contribute to the company's data strategy.
Showcase Relevant Projects: If possible, include links to any relevant projects or portfolios that demonstrate your expertise in data engineering. This could be GitHub repositories or case studies that showcase your work with Power BI, Tableau, or Azure ETL tools.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer role.
How to prepare for a job interview at Atlas Recruitment Group Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Microsoft Azure data tools, especially Microsoft Fabric, OneLake, and Data Factory. Highlight specific projects where you successfully implemented ETL/ELT processes and how they contributed to the overall data strategy.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of challenges you've faced in data engineering and how you approached them. This will show your ability to think critically and adapt to complex situations.
✨Communicate Clearly
Since the role involves working closely with stakeholders, practice explaining technical concepts in a way that non-technical team members can understand. Clear communication is key to ensuring everyone is on the same page regarding data insights and strategies.
✨Prepare for Scenario-Based Questions
Be ready for scenario-based questions that test your knowledge of database design and data architecture. Think about how you would approach designing a scalable data platform and be prepared to discuss your thought process.
