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- Tasks: Build scalable data pipelines and integrate systems using Azure Data Factory.
- Company: Join a dynamic team in Central London, working with cutting-edge Azure technologies.
- Benefits: Enjoy a hybrid work model with 3 days onsite and flexible remote work options.
- Why this job: Make an impact by delivering high-performance data solutions in a collaborative environment.
- Qualifications: Experience with Azure Data Factory, SQL, Python, and strong ETL/ELT knowledge required.
- Other info: This is a 1-year contract role starting January 2024.
The predicted salary is between 48000 - 72000 £ 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.
About the Role
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.
Key Responsibilities:
1. Data Pipeline Development:
- Design and deploy data pipelines using Azure Data Factory for seamless ETL/ELT workflows.
- Maintain scalable, reliable data integration processes.
2. Integration and Orchestration:
- Work with Azure services like Data Lake , Databricks , Synapse Analytics , and SQL Database .
- Integrate data from hybrid and cloud-based systems.
3. Data Transformation and Modeling:
- Use ADF mapping data flows for advanced transformations.
- Collaborate with stakeholders to structure data for analytics.
4. Performance Optimization:
- Monitor, troubleshoot, and enhance pipeline performance.
- Apply best practices to improve throughput and latency.
5. Security and Compliance:
- Implement secure access using Azure RBAC and managed identities.
- Ensure compliance with data privacy standards.
6. Collaboration and Documentation:
- Partner with architects and business stakeholders to align technical solutions with business goals.
- Document processes, configurations, and decisions.
What We’re Looking For
- Hands-On Expertise : Proven experience with Azure Data Factory and related services like Azure SQL Database , Synapse Analytics , and Data Lake .
- Technical Skills : 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.
- Problem-Solving Abilities : Experience with pipeline optimization and troubleshooting.
- Soft Skills : Excellent communication, teamwork, and analytical thinking to translate business needs into solutions.
Data Engineer employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with the Azure ecosystem, especially Azure Data Factory, Data Lake, and Synapse Analytics. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your expertise during discussions.
✨Tip Number 2
Brush up on your Python and SQL skills, as they are crucial for data transformation and pipeline development. Consider working on small projects or contributing to open-source initiatives to showcase your coding abilities.
✨Tip Number 3
Prepare to discuss your problem-solving strategies, particularly in pipeline optimization and troubleshooting. Think of specific examples from your past experiences that highlight your analytical thinking and ability to overcome challenges.
✨Tip Number 4
Emphasize your collaboration skills by sharing experiences where you worked closely with stakeholders or team members. Being able to communicate technical solutions effectively is key to aligning with business goals.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your hands-on expertise with Azure Data Factory and related services in your CV and cover letter. Provide specific examples of data pipeline development and integration projects you've worked on.
Showcase Technical Skills: Clearly list your technical skills, including Python, PowerShell, SQL, and any other data integration tools like SSIS. Mention how you have applied these skills in previous roles to solve problems or optimize performance.
Demonstrate Problem-Solving Abilities: Include examples of how you've tackled challenges related to pipeline optimization and troubleshooting. This will show your potential employer that you can handle the responsibilities of the role effectively.
Communicate Soft Skills: Don't forget to mention your soft skills such as communication, teamwork, and analytical thinking. Provide instances where you've successfully collaborated with stakeholders to align technical solutions with business goals.
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 related 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 Problem-Solving Skills
Expect questions that assess your problem-solving abilities, especially regarding pipeline optimization and troubleshooting. Share examples of how you've monitored and enhanced pipeline performance in previous roles.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to explain complex technical concepts in a way that non-technical stakeholders can understand, showcasing your excellent communication skills.
✨Prepare for Technical Questions
Brush up on your knowledge of Python, PowerShell, SQL, and other data integration tools like SSIS. You may be asked to solve technical problems or answer questions about data transformation and modeling during the interview.
