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- Tasks: Join a dynamic team to build and optimize data pipelines using Azure technologies.
- Company: Be part of a Tech for Good business focused on impactful data transformation.
- Benefits: Enjoy flexible and remote working options, plus opportunities for personal growth.
- Why this job: Contribute to exciting AI and ML projects while mentoring junior engineers in a supportive culture.
- Qualifications: Experience with Azure Data Engineering, SQL, Python, and ETL pipeline development is essential.
- Other info: This role offers a chance to shape the future of data analytics in a transformative environment.
The predicted salary is between 48000 - 84000 £ per year.
Digital Gurus has partnered with a Tech for Good business, on an exciting Azure Data Journey. The business has undergone huge amounts of transformation and change. With Data at the heart of what they do. For this next phase of the journey, they are looking for an Azure Data Engineer to join them! As they look to invest and integrate further, this is a great time to get involved. With AI, ML, further insights development and analytics capabilities are on the agenda. The Data Engineering team play a crucial role in making these capabilities a reality for the business. Key skills: Azure Data Engineering background Azure Data Factory, Azure Synapse, Power BI Databricks CI/CD – Data pipelines deployments SQL Server/Azure SQL SQL / Python Writing ETL pipelines within Azure environment Production support skills This is an incredible business to work for. With flexible working/condensed working options and operating on a remote first basis with UK-based professionals. You will be given the opportunity to grow, develop and learn. With progression to mentor and support junior data engineers and the wider team.
Senior Data Engineer employer: Digital Gurus
Contact Detail:
Digital Gurus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Azure Data Engineering tools like Azure Data Factory and Azure Synapse. Highlight any projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and ML, especially how they relate to data engineering. Being able to discuss how you can contribute to insights development and analytics capabilities will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with CI/CD processes for data pipelines. Employers love candidates who can streamline deployments and ensure smooth production support, so be ready to share specific examples of your work in this area.
✨Tip Number 4
Since this role involves mentoring junior engineers, think about your leadership style and how you can support team growth. Be prepared to share your thoughts on fostering a collaborative environment and helping others develop their skills.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Highlight the key skills mentioned, such as Azure Data Factory, Power BI, and SQL, and think about how your experience aligns with these requirements.
Tailor Your CV: Customize your CV to emphasize your Azure Data Engineering background. Include specific projects or experiences that showcase your skills in building ETL pipelines, using Databricks, and deploying CI/CD data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also expresses your enthusiasm for working in a 'Tech for Good' environment. Mention how you can contribute to their data journey and support the team.
Highlight Continuous Learning: Since the company values growth and development, mention any relevant courses, certifications, or self-learning initiatives you've undertaken in Azure, AI, or ML. This shows your commitment to staying updated in the field.
How to prepare for a job interview at Digital Gurus
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure Data Engineering, especially with tools like Azure Data Factory and Azure Synapse. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Your ETL Skills
Since writing ETL pipelines is a key part of the role, come ready to explain your approach to building and optimizing ETL processes in an Azure environment. Share examples of challenges you faced and how you overcame them.
✨Discuss Your CI/CD Experience
The company values CI/CD for data pipeline deployments, so be sure to talk about your experience with continuous integration and deployment practices. Explain how you've implemented these in past projects to improve efficiency.
✨Emphasize Collaboration and Mentorship
As this role involves mentoring junior engineers, express your enthusiasm for collaboration and knowledge sharing. Share any previous experiences where you've supported team members or contributed to a positive team culture.
