At a Glance
- Tasks: Build end-to-end data pipelines and workflows using Azure tools.
- Company: Join a forward-thinking company creating a cutting-edge Data Platform.
- Benefits: Enjoy flexible working options and a collaborative environment.
- Other info: Ideal for those passionate about data engineering and innovation.
- Why this job: Be part of an exciting greenfield project with significant impact.
- Qualifications: Experience with Azure Data Factory, Synapse, SQL, and Python required.
The predicted salary is between 48000 - 72000 € per year.
I'm looking for a Senior Azure Data Engineer for a client near to Leeds. The company are building a greenfield Data Platform in Azure and Snowflake and so looking for someone who has been heavily involved in building end to end data platforms in Azure using Synapse, Data Factory, Data Lake and SQL.
Role & Responsibilities
- Building end to end data pipelines in Azure (Data Factory and SQL)
- Building workflows in SQL, Spark and DBT
- Data and dimensional modelling
Skills & Qualifications
- Azure Data Factory, Synapse and SSIS
- Python/Park/PySpark
- Ideally Snowflake and DBT
Senior Data Engineer - Azure - Leeds in London employer: Tenth Revolution Group
Join a forward-thinking company in Leeds that is dedicated to innovation and excellence in data engineering. With a strong emphasis on employee growth, you will have access to cutting-edge technology and the opportunity to work on a greenfield Data Platform project, fostering a collaborative and inclusive work culture. Enjoy competitive benefits and a supportive environment that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Azure - Leeds in London
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Factory, Synapse, and Snowflake. Having hands-on experience or projects that showcase your skills with these technologies will make you stand out.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Azure. Attend meetups or webinars focused on Azure data solutions to gain insights and potentially connect with someone from the hiring company.
✨Tip Number 3
Prepare to discuss your previous experiences in building end-to-end data platforms. Be ready to share specific examples of how you've used Azure services to solve real-world problems, as this will demonstrate your practical knowledge.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering, particularly around Azure and Snowflake. This knowledge can help you engage in meaningful conversations during interviews and show your passion for the field.
We think you need these skills to ace Senior Data Engineer - Azure - Leeds in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Data Factory, Synapse, and SQL. Include specific projects where you've built end-to-end data pipelines and workflows, as this will demonstrate your relevant skills.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Mention your experience with building data platforms in Azure and any relevant tools like Snowflake and DBT. Be sure to connect your past experiences to the responsibilities outlined in the job description.
Showcase Technical Skills:When detailing your technical skills, be specific about your proficiency in Python, Spark, and PySpark. Provide examples of how you've used these technologies in previous roles to solve problems or improve processes.
Proofread Your Application:Before submitting your application, take the time to proofread it 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 Tenth Revolution Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, Synapse, and SQL in detail. Highlight specific projects where you built end-to-end data pipelines and workflows, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially in relation to data modelling and pipeline optimisation. Prepare examples of challenges you've faced and how you overcame them using tools like Python, Spark, or DBT.
✨Understand the Company’s Vision
Research the company and their greenfield Data Platform project. Understanding their goals and how your skills can contribute will show your genuine interest and alignment with their vision.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the team structure, the technologies they are using, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
