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- Tasks: Build scalable data pipelines and integrate systems using Azure Data Factory.
- Company: Join a dynamic team in Central London focused on innovative data solutions.
- Benefits: Enjoy a hybrid work model with 3 days onsite and flexible remote work.
- Why this job: Be part of impactful projects that enhance data performance and security.
- Qualifications: Proven experience with Azure Data Factory, SQL, and data integration tools required.
- Other info: This is a 1-year contract role starting in January 2024.
The predicted salary is between 48000 - 84000 £ per year.
We’re seeking an experienced Azure Data Engineer to join our client on a 1-year contract , starting in January 2024. This Inside IR35 role requires 3 days onsite per week at their Central London office, with the remaining time remote.
In this role, you’ll leverage your expertise in Azure Data Factory and the Azure ecosystem to build scalable data pipelines, integrate diverse systems, and deliver high-performance, secure data solutions.
Data Pipeline Development:
Design and deploy data pipelines using Azure Data Factory for seamless ETL/ELT workflows.
Maintain scalable, reliable data integration processes.
Work with Azure services like Data Lake , Databricks , Synapse Analytics , and SQL Database .
Integrate data from hybrid and cloud-based systems.
Data Transformation and Modeling:
Use ADF mapping data flows for advanced transformations.
Collaborate with stakeholders to structure data for analytics.
Performance Optimization:
Monitor, troubleshoot, and enhance pipeline performance.
Ensure compliance with data privacy standards.
Document processes, configurations, and decisions.
Proven experience with Azure Data Factory and related services like Azure SQL Database , Synapse Analytics , and Data Lake .
Knowledge of Python, PowerShell, SQL, and other data integration tools like SSIS.
Data Knowledge : Strong ETL/ELT principles, relational and non-relational databases, and data modeling.
Senior Engineer, Data Engineering employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Familiarize yourself with the latest features and updates in Azure Data Factory. Being well-versed in the newest functionalities will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the Azure Data Engineering community. Attend meetups or webinars focused on Azure technologies to connect with potential colleagues and learn about industry trends that could give you an edge.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data pipelines using Azure services. Highlighting real-world examples of your work can set you apart from other candidates.
✨Tip Number 4
Understand the company's data strategy and how they utilize Azure services. Tailoring your conversation during interviews to align with their goals will show that you're not just a fit for the role, but also for their team culture.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with Azure Data Factory and other Azure services in your CV and cover letter. Provide specific examples of projects where you designed and deployed data pipelines.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as Python, PowerShell, SQL, and any experience with ETL/ELT processes. This will help demonstrate your fit for the role.
Tailor Your Cover Letter: Write a personalized cover letter that addresses the specific requirements mentioned in the job description. Discuss how your background aligns with the responsibilities of the role, particularly in data transformation and modeling.
Proofread Your Application: Before submitting your application, carefully proofread your documents 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 Airswift
✨Showcase Your Azure Expertise
Be prepared to discuss your hands-on experience with Azure Data Factory and other Azure services. Highlight specific projects where you designed and deployed data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Data Transformation Skills
Discuss your experience with ADF mapping data flows and how you've used them for advanced transformations. Provide examples of how you've collaborated with stakeholders to structure data for analytics, showcasing your ability to communicate technical concepts clearly.
✨Emphasize Performance Optimization
Prepare to talk about how you've monitored and enhanced pipeline performance in previous roles. Share specific metrics or outcomes that demonstrate your success in optimizing data integration processes and ensuring compliance with data privacy standards.
✨Familiarize Yourself with the Company’s Tech Stack
Research the company’s use of Azure services like Data Lake, Databricks, and Synapse Analytics. Understanding their specific environment will allow you to tailor your responses and show that you're genuinely interested in how you can contribute to their team.
