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- Tasks: Join us as an ADF Data Engineer, working with SQL Server and Azure technologies.
- Company: Be part of a dynamic team in Warrington, focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, excellent bonuses, and great benefits in a hybrid work environment.
- Why this job: This role offers hands-on experience with cutting-edge technology and a chance to make an impact.
- Qualifications: Strong experience with Microsoft BI stack and Azure services is essential.
- Other info: Apply now if you're ready to elevate your career in data engineering!
The predicted salary is between 36000 - 60000 £ per year.
Job Description
ADF Data Engineer
ADF Data Engineer – SQL Server 2022, ADF, ETL Pipelines, Azure Synapse Analytics, Azure SQL, Azure Data Lake, SSIS, SSAS, SSRS, Power BI, Fabric, Data Warehousing, Agile – Hybrid (Warrington) – £50k + excellent bonus + excellent bens
An experienced ADF Data Engineer is urgently required by my client with strong experience of the Microsoft BI stack and Azure Services (SQL Server 202…
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ADF Data Engineer employer: Essential Recruitment
Contact Detail:
Essential Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ADF Data Engineer
✨Tip Number 1
Familiarise yourself with the Microsoft BI stack and Azure Services. Brush up on your skills in SQL Server, ADF, and ETL pipelines, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will set you apart during interviews.
✨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 Lake and Synapse Analytics. This can provide you with insights into the latest trends and potentially lead to referrals.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss specific projects where you've implemented data warehousing solutions or optimised ETL processes. This will showcase your ability to handle real-world challenges.
✨Tip Number 4
Research our company culture and values at StudySmarter. Understanding what we stand for will help you align your answers during the interview and show that you're a good fit for our team. Tailor your questions to reflect your interest in our mission and how you can contribute.
We think you need these skills to ace ADF Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the Microsoft BI stack and Azure Services. Include specific projects or roles where you used SQL Server, ADF, ETL Pipelines, and other relevant technologies.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are a great fit for the ADF Data Engineer role. Mention your familiarity with Azure Synapse Analytics, Azure SQL, and any experience with data warehousing and Agile methodologies.
Showcase Relevant Skills: In your application, emphasise your skills in Power BI, SSIS, SSAS, and SSRS. Provide examples of how you've successfully implemented these tools in past projects to demonstrate your expertise.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Essential Recruitment
✨Know Your Tech Stack
Make sure you have a solid understanding of the Microsoft BI stack and Azure Services. Be prepared to discuss your experience with SQL Server, ADF, ETL pipelines, and other relevant technologies in detail.
✨Showcase Your Projects
Bring examples of past projects where you've successfully implemented data solutions using Azure Data Lake, Synapse Analytics, or Power BI. This will demonstrate your practical experience and problem-solving skills.
✨Understand Agile Methodologies
Since the role involves working in an Agile environment, be ready to discuss your experience with Agile practices. Highlight how you've contributed to team sprints and adapted to changing project requirements.
✨Prepare Questions
Have insightful questions ready for the interviewer about the company's data strategy and team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
