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- Tasks: Develop and maintain scalable ETL/ELT processes for a growing data platform.
- Company: Join a forward-thinking organisation in the private medical sector.
- Benefits: Enjoy hybrid/remote work options and a competitive salary of up to £60,000.
- Why this job: Make a real impact on strategic decision-making and business growth.
- Qualifications: Strong experience in data architecture, Microsoft Azure tools, and SQL Server required.
- Other info: Collaborate with stakeholders and technical teams to transform raw data into insights.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Engineer Private Medical Sector Hybrid/Remote Options – Flexible Up to £60,000 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. Key Requirements: * 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 * ELT/ETL development experience * Stakeholder engagement and cross-team collaboration skills Desirable: * Power BI, Tableau, SSIS, SSAS, or other Azure ETL tools This is a great opportunity to work in a forward-thinking organisation where your skills will directly impact strategic decision-making and growth
Contact Detail:
Atlas Recruitment Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Microsoft Azure data tools, especially Microsoft Fabric, OneLake, and Data Factory. Consider taking online courses or tutorials to deepen your understanding, as this will demonstrate your commitment and expertise during discussions.
✨Tip Number 2
Brush up on your SQL Server and T-SQL skills. Practice writing complex queries and optimising performance, as these are crucial for the role and will help you stand out in technical interviews.
✨Tip Number 3
Engage with the data engineering community through forums, webinars, or local meetups. Networking can provide valuable insights into industry trends and may even lead to referrals within the private medical sector.
✨Tip Number 4
Prepare to discuss your experience with stakeholder engagement and cross-team collaboration. Think of specific examples where you've successfully communicated complex data concepts to non-technical stakeholders, as this will highlight your communication skills.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data architecture, Microsoft Azure tools, and ELT/ETL processes. Use specific examples that demonstrate your problem-solving skills and stakeholder engagement.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in transforming raw data into actionable insights and collaborating with technical teams.
Showcase Relevant Projects: If you have worked on projects involving SQL Server, T-SQL, or Azure data tools, include these in your application. Describe your role and the impact of your contributions to highlight your expertise.
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.
How to prepare for a job interview at Atlas Recruitment Group Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data architecture, SQL Server, and Microsoft Azure tools. Bring examples of past projects where you developed ETL/ELT processes, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since the role involves stakeholder engagement, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical teams and business stakeholders effectively.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Think of specific challenges you've faced in previous roles and how you overcame them, particularly in relation to data management and transformation.
✨Research the Company and Its Data Strategy
Understand the company's mission and how they utilise data to drive decisions. This knowledge will help you tailor your responses and demonstrate your genuine interest in contributing to their strategic goals.
