At a Glance
- 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 up to £60,000.
- Why this job: Make a real impact on business strategy through data insights and collaboration.
- Qualifications: Strong experience in data architecture, Microsoft Azure tools, and SQL Server required.
- Other info: Ideal for problem-solvers who thrive in a collaborative environment.
The predicted salary is between 48000 - 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.
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 Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Hastings)
✨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
Engage with the data engineering community on platforms like LinkedIn or relevant forums. Networking can provide insights into the latest trends and challenges in the field, and you might even connect with someone from our team at StudySmarter!
✨Tip Number 3
Prepare to discuss your experience with ETL/ELT processes in detail. Be ready to share specific examples of how you've transformed raw data into actionable insights, as this is a key aspect of the role.
✨Tip Number 4
Highlight your stakeholder engagement skills by preparing examples of successful collaborations. Being able to communicate effectively with both technical teams and business stakeholders is crucial for this position.
We think you need these skills to ace Senior Data Engineer (Hastings)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data architecture, Microsoft Azure tools, and ETL/ELT processes. Use specific examples that demonstrate your problem-solving skills and stakeholder engagement.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Senior Data Engineer position and how your skills align with the company's needs. Mention your experience with SQL Server and any relevant tools like Power BI or Tableau.
Showcase Your Technical Skills: When detailing your technical skills, be specific about your proficiency with Microsoft Fabric, OneLake, and Data Factory. Include any projects where you've successfully implemented these tools to solve business problems.
Highlight Collaboration Experience: Since the role involves working closely with stakeholders and technical teams, provide examples of past experiences where you successfully collaborated across teams to achieve a common goal.
How to prepare for a job interview at Atlas Recruitment Group Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data architecture and modelling in detail. Highlight specific projects where you used Microsoft Azure tools like Fabric, OneLake, and Data Factory, as well as your expertise in SQL Server and T-SQL.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of challenges you've faced in previous roles and how you approached them, particularly in the context of ETL/ELT processes.
✨Engage with Stakeholders
Since stakeholder engagement is crucial for this role, be ready to discuss how you've collaborated with different teams in the past. Share examples of how you communicated complex data insights to non-technical stakeholders.
✨Familiarise Yourself with Desirable Tools
While not mandatory, knowledge of Power BI, Tableau, SSIS, or SSAS can set you apart. Brush up on these tools and be ready to discuss any relevant experience you have with them during the interview.