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- Tasks: Develop and optimise data architectures and pipelines using Azure technologies.
- Company: Prestigious business with a vibrant and positive work culture.
- Benefits: Competitive salary, hybrid work model, and career development opportunities.
- Why this job: Join a dynamic team and make a real impact on data solutions.
- Qualifications: 5+ years experience in data engineering with strong Azure knowledge.
- Other info: Engage with diverse stakeholders and enjoy a supportive work environment.
The predicted salary is between 70000 - 80000 £ per year.
A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that is not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud.
This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station.
The key responsibilities for the post include:
- Develop, construct, test and maintain data architectures within large scale data processing systems.
- Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark.
- Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions.
- Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics.
- Interact with API systems to query and retrieve data for analysis.
- Collaborate with business users / stakeholders to gather and agree requirements.
To be considered for the post you will need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You will need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You will be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It is likely you will have most, if not all the following:
- Experience as a Senior Data Engineer or similar.
- Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD.
- Experience with PySpark, Python, SQL and other data engineering development tools.
- Experience with metadata driven pipelines and SQL serverless data warehouses.
- Knowledge of querying API systems.
- Experience building and optimising ETL pipelines using Databricks.
- Strong problem-solving skills and attention to detail.
- Understanding of data governance and data quality principles.
- A degree in computer science, engineering, or equivalent experience.
Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although the client may consider higher for an outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development.
Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd.
Senior Azure Data Engineer in Ealing employer: Youngs Employment Services
Contact Detail:
Youngs Employment Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer in Ealing
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals that could give you a leg up in the application process.
✨Tip Number 2
Prepare for interviews by practising common questions related to Azure Data Engineering. We recommend setting up mock interviews with friends or using online platforms to get comfortable discussing your experience with data pipelines and cloud architecture.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data engineering projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, so be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive opportunities listed there that you won't find anywhere else.
We think you need these skills to ace Senior Azure Data Engineer in Ealing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Azure Data Engineer role. Highlight your experience with Azure Cloud, data pipelines, and any relevant tools like PySpark or SQL. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your experience makes you a perfect fit. Don’t forget to mention your ability to collaborate with stakeholders, as that’s key for us.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data solutions or optimising ETL pipelines, we love seeing real-world examples of your work and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Youngs Employment Services
✨Know Your Azure Stuff
Make sure you brush up on your Azure Cloud architecture knowledge. Be ready to discuss how you've used Azure Data Factory, Delta Lake, and Spark in your previous roles. Prepare specific examples of data pipelines you've built or optimised, as this will show your hands-on experience.
✨Engage with Stakeholders
Since this role involves collaborating with various business functions, practice how you'll communicate technical concepts to non-technical stakeholders. Think of scenarios where you've successfully gathered requirements and built relationships, as this will demonstrate your ability to bridge the gap between tech and business.
✨Showcase Problem-Solving Skills
Be prepared to discuss challenges you've faced in data engineering and how you overcame them. Highlight your problem-solving skills and attention to detail by sharing specific examples of how you've tackled complex data issues or optimised ETL pipelines.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's data strategy, the tools they use, or how they measure success in their data projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
