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- Tasks: Design and maintain large-scale data pipelines using Azure Databricks and Python.
- Company: Join a leading IT recruitment firm with a focus on innovation.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and Agile methodologies.
- Why this job: Make an impact in data engineering while working with cutting-edge technologies.
- Qualifications: 10+ years in Data Engineering with strong Azure and programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Role Overview
6 Month initial contract
Hybrid role (up to 3 times a week in London)
Start ASAP
Please note that this role requires security clearance due to the nature of the project.
Qualifications:
- 10+ years’ experience in Data Engineering, with a minimum of 3 years of hands‑on Azure Databricks experience delivering production‑grade solutions.
- Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications.
- Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures.
- Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the Azure ecosystem.
- Demonstrable experience designing, developing, and maintaining large‑scale datasets and complex data pipelines in cloud environments.
- Proven capability in data architecture design, including the development and optimisation of end‑to‑end data pipelines for performance, reliability, and scalability.
- Expert‑level knowledge of Databricks, including hands‑on implementation, cluster management, performance tuning, and (ideally) relevant Databricks certifications.
- Hands‑on experience with SQL and NoSQL database technologies, with strong query optimisation skills.
- Solid understanding of data quality frameworks, data governance practices, and implementing automated testing/validation within pipelines.
- Proficient with version control systems such as Git, including branching strategies and CI/CD integration.
- Experience working within Agile delivery environments, collaborating closely with cross‑functional teams to deliver iterative, high‑quality solutions.
Senior Data Engineer in England employer: Alexander Associates Technical Recruitment
Contact Detail:
Alexander Associates Technical Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving Azure Databricks and data pipelines. Having tangible examples of your work can really set you apart during interviews.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python, Spark, and SQL skills. Practice common data engineering problems and be ready to discuss your past projects in detail. Remember, confidence is key!
✨Apply Through Us!
Make sure to apply through our website for the best chance at landing that Senior Data Engineer role. We’re here to help you every step of the way, so don’t hesitate to reach out if you need any tips or guidance!
We think you need these skills to ace Senior Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your 10+ years of experience and specific skills like Azure Databricks and Python. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include examples of projects where you've designed and maintained large-scale datasets or complex data pipelines. We love seeing real-world applications of your skills, especially in cloud environments like Azure.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the heart of your experience.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Alexander Associates Technical Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Databricks and Python skills. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Expertise
Prepare to talk about your experience with data architecture design and the end-to-end data pipelines you've developed. Highlight your understanding of ETL/ELT patterns and how you've optimised performance and reliability in past projects.
✨Familiarise Yourself with Agile Methodologies
Since this role involves working in Agile environments, be ready to share examples of how you've collaborated with cross-functional teams. Discuss your approach to iterative development and how it has led to high-quality solutions.
✨Demonstrate Your Problem-Solving Skills
Expect technical questions that test your problem-solving abilities. Think of scenarios where you've had to troubleshoot issues in data processing or pipeline failures, and be prepared to explain your thought process and solutions.