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- Tasks: Lead a team to build innovative data solutions on Azure.
- Company: Join a global leader in financial services and insurance.
- Benefits: Enjoy hybrid working, competitive salary, and a 20% bonus.
- Why this job: Be at the forefront of data engineering with a focus on impactful projects.
- Qualifications: Experience in data engineering and Azure services is essential.
- Other info: Opportunity to mentor and shape the future of data engineering.
The predicted salary is between 72000 - 84000 £ per year.
Location: London - 2-3 days hybrid working in central London
Day Rate: £100,000 - £110,000 + 20% Bonus
Are you a seasoned data engineering expert passionate about Azure cloud services? Do you thrive in a leadership role, guiding teams to build cutting-edge data solutions? Join us as a Senior Azure Data Engineering Lead and spearhead the development of our single version of truth (SVOT) platform.
Key Responsibilities:
- Leadership & Team Management: Lead, mentor, and manage a team of talented Azure data engineers. Drive the technical execution of the team. Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to ensure a high-quality SVOT platform.
- Architecture & Delivery: Design, develop, and implement scalable and secure data lake solutions on Azure. Ensure best practices in data engineering, data integration, and ETL processes. Build end-to-end pipelines to support enterprise-wide analytics. Code complex aspects of our data pipeline. Monitor and enhance the performance and scalability of the SVOT platform to ensure high availability and accessibility.
Experience & Skills:
- Strong experience in data engineering.
- At least some commercial hands-on experience with Azure data services (e.g., Apache Spark, Azure Data Factory, Synapse Analytics).
- Proven experience in leading and managing a team of data engineers.
- Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL.
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Knowledge of CI/CD pipelines and version control (e.g., Git).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to manage multiple projects and meet deadlines.
- Certifications in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect) are highly desirable.
Please apply!
Senior Data Engineer - MS Azure employer: DATAHEAD
Contact Detail:
DATAHEAD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - MS Azure
✨Tip Number 1
Network with professionals in the Azure data engineering field. Attend industry meetups, webinars, or conferences to connect with potential colleagues and leaders in the sector. This can help you gain insights into the role and may even lead to referrals.
✨Tip Number 2
Showcase your leadership skills by sharing examples of how you've successfully managed teams or projects in the past. Prepare specific anecdotes that highlight your ability to mentor others and drive technical execution.
✨Tip Number 3
Familiarise yourself with the latest Azure data services and tools mentioned in the job description. Consider taking online courses or certifications to deepen your knowledge and demonstrate your commitment to staying current in the field.
✨Tip Number 4
Prepare for potential technical interviews by brushing up on your programming skills, particularly in PySpark, Python, and T-SQL. Practise coding challenges and be ready to discuss your approach to building scalable data solutions.
We think you need these skills to ace Senior Data Engineer - MS Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure data services and leadership roles. Use specific examples of projects where you've designed and implemented data solutions, showcasing your technical skills in programming languages like PySpark and Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and leadership. Mention how your background aligns with the responsibilities of the Senior Azure Data Engineering Lead role, particularly your experience in managing teams and delivering scalable data solutions.
Showcase Relevant Certifications: If you have any certifications related to Azure, such as Microsoft Certified: Azure Data Engineer Associate, be sure to include them in your application. This demonstrates your commitment to professional development and expertise in the field.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your communication and collaboration abilities. Provide examples of how you've successfully worked with data scientists, analysts, and business stakeholders in previous roles.
How to prepare for a job interview at DATAHEAD
✨Showcase Your Leadership Skills
As a Senior Azure Data Engineering Lead, you'll be expected to lead and mentor a team. Be prepared to discuss your previous leadership experiences, how you motivate your team, and any challenges you've overcome in managing projects.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of Azure data services like Apache Spark and Azure Data Factory. Be ready to discuss specific projects where you've implemented these technologies and the impact they had on the overall data architecture.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think of examples where you've tackled complex data engineering challenges, particularly in relation to ETL processes and data integration.
✨Highlight Collaboration Experience
Collaboration with cross-functional teams is key in this role. Prepare examples of how you've worked with data scientists, analysts, and business stakeholders to deliver successful data solutions, ensuring you emphasise your communication skills.
