At a Glance
- Tasks: Design and build scalable data pipelines using Azure tools.
- Company: Join a forward-thinking tech company with a collaborative spirit.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team atmosphere with excellent career advancement potential.
- Why this job: Make an impact by transforming data into insights in a modern environment.
- Qualifications: Experience with SQL, Azure tools, and data engineering principles.
The predicted salary is between 55000 - 70000 € per year.
You'll design and build scalable, automated data pipelines that bring together information from across the organisation. It's a hands-on engineering role covering everything from data ingestion to transformation, modelling and delivery, all within a modern Azure environment.
You'll report to the Lead Data Engineer and join our Data Engineering Team, working alongside architects, analysts, testers and agile delivery squads.
Responsibilities:- Build and maintain scalable, automated data pipelines using Azure tools like Data Factory, Databricks and Logic Apps
- Ingest, transform and model data from multiple sources into our enterprise data platform
- Optimise data flows for performance, reliability and reusability
- Support data quality, reconciliation and monitoring processes
- Work across the full data lifecycle, from raw source to insight
- SQL Server, Data Warehousing, Big Data, Power BI, ETL & BI platforms, Data modelling, Kimball Methodology, Master Data Services, Data Quality (DQ), Purview
- Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse
- Python, Scala, PySpark
- SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads
- PowerShell scripting, Agile delivery environments, CI/CD, IaaS
Azure Data Engineer in London employer: Dgh Recruitment
As an Azure Data Engineer at our London office, you'll be part of a dynamic and innovative team that values collaboration and continuous learning. We offer a hybrid work model, competitive benefits, and ample opportunities for professional growth in a supportive environment that encourages creativity and technical excellence. Join us to make a meaningful impact while working with cutting-edge technologies in a vibrant city known for its rich culture and diversity.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with other Azure Data Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure tools like Data Factory and Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've built and optimised data pipelines, and don’t forget to highlight your experience with SQL Server and Azure services!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Azure Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure tools and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Be specific about your technical expertise in SQL, Python, and Azure services. We’re looking for hands-on experience, so mention any projects where you’ve built data pipelines or worked with data modelling.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dgh Recruitment
✨Know Your Azure Tools
Make sure you brush up on your knowledge of Azure tools like Data Factory, Databricks, and Logic Apps. Be ready to discuss how you've used these in past projects or how you would approach building data pipelines using them.
✨Showcase Your Data Lifecycle Understanding
Prepare to talk about your experience with the full data lifecycle. Highlight specific examples where you've ingested, transformed, and modelled data, and be ready to explain your approach to ensuring data quality and reliability.
✨Demonstrate Problem-Solving Skills
Think of scenarios where you've optimised data flows or resolved data quality issues. Be prepared to share these stories, focusing on the challenges you faced and the solutions you implemented.
✨Familiarise Yourself with Agile Practices
Since this role involves working in agile delivery squads, it’s a good idea to understand agile methodologies. Be ready to discuss how you've collaborated in teams and adapted to changing requirements in previous roles.
