Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to design and optimise data solutions on Azure.
- Company: Join a forward-thinking tech hub focused on data innovation.
- Benefits: Enjoy competitive salary, career growth, and a collaborative work environment.
- Why this job: Be at the forefront of data management, shaping the future of data solutions.
- Qualifications: 6+ years in Data Engineering; strong Azure and Python skills required.
- Other info: Opportunity to mentor and grow within a dynamic team.
The Data Engineer Manager is responsible for driving the design, development, and optimization of data solutions in the data infrastructure. In addition to fostering the growth of a skilled team, you will play a pivotal role in delivering the data applications, infrastructure, and services, ensuring they align with organizational goals and industry best practices.
As part of the Technology Hub, the Data Engineer Manager will work very closely with all teams across the business. The role is instrumental in defining and upholding a clear vision for the integrity of data life cycle management, aligning the strategic goal of becoming a centre of expertise. Additionally, it ensures stewardship of business data and technical architecture, fostering innovation and reliability across all data initiatives.
Key Responsibilities
- Mentor the data engineering team to design and implement complex, tailored data solutions that support processing of high volumes of data across all schemes and applications.
- Establish and support the technical vision and strategy for a robust data architecture that aligns with the overall strategy, with a strong focus on ensuring security for all structured data.
- Establish and maintain robust operational support and monitoring systems to ensure the reliable performance of critical systems in live environments.
- Facilitate the adoption and implementation of continuous delivery practices while advocating for the use of cloud solutions.
- Design, implement, and optimize end-to-end data pipelines and solutions on Azure, ensuring data quality, reliability, and security throughout. Oversee the integration of both structured and unstructured data sources.
- Oversee project timelines, scope, and deliverables to ensure successful execution, while actively monitoring progress and addressing risks proactively.
- Implement best practices for process improvements, cost optimization and monitoring.
- Continuously evaluate and improve the Azure data platform to enhance performance and scalability.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Develop and implement a comprehensive data governance framework to ensure data quality, security, and compliance across the data applications.
- Design, evaluate impacts, perform technical design reviews, and approve technical designs as part of the design authority process.
- Establish and maintain comprehensive documentation for all data engineering processes, pipelines, and systems.
- Implement best practices for maintaining version control and traceability of documentation.
- Foster continuous learning and adoption of the latest technologies while mentoring and training the data engineering team.
Key Requirements
- Minimum 6 years’ experience in Data Engineering, Data Architecture & Governance frameworks.
- Minimum 4 years' experience with Python, preferably PySpark.
- Experience leading small teams of Engineers.
- Excellent communication and stakeholder management abilities.
- Strong expertise in Azure: ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps.
- Hands-on experience with ETL/ELT processes and data warehousing.
- Solid understanding of data security and compliance standards.
- Experience with DevOps practices and tools (e.g., CI/CD pipelines, Azure DevOps).
- The ability to simplify complex technical issues for a non-technical stakeholder audience.
- Capable of understanding business needs and requirements while providing valuable, insightful recommendations.
- Skilled in delivering presentations and technical reports clearly and persuasively.
Azure Data Manager employer: Third Nexus Group Limited
Contact Detail:
Third Nexus Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Manager
✨Tip Number 1
Network with professionals in the Azure data space. Attend industry meetups, webinars, or conferences where you can connect with current Azure Data Managers or similar roles. This can provide insights into the role and may even lead to referrals.
✨Tip Number 2
Showcase your leadership skills by discussing any mentoring or team management experiences you've had. Highlight how you've successfully guided teams in previous roles, as this is a key aspect of the Azure Data Manager position.
✨Tip Number 3
Familiarise yourself with the latest Azure tools and technologies mentioned in the job description. Being able to discuss recent updates or features in Azure during interviews can demonstrate your commitment and expertise in the field.
✨Tip Number 4
Prepare to discuss specific examples of how you've implemented data governance frameworks or improved data quality in past projects. Real-world examples will help illustrate your capabilities and align with the responsibilities of the role.
We think you need these skills to ace Azure Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, Data Architecture, and Governance frameworks. Emphasise your proficiency with Azure technologies and any leadership roles you've held.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data management and how your skills align with the responsibilities of the Azure Data Manager role. Mention specific projects or achievements that demonstrate your expertise.
Showcase Technical Skills: Clearly outline your technical skills related to Azure, Python, and ETL/ELT processes. Use specific examples to illustrate your hands-on experience and understanding of data security and compliance standards.
Highlight Leadership Experience: Since the role involves mentoring a team, be sure to include any relevant leadership experience. Discuss how you've successfully led teams, facilitated collaboration, and driven project success in previous roles.
How to prepare for a job interview at Third Nexus Group Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Azure and the specific tools mentioned in the job description, such as ADLS, Databricks, and SQL DW. Highlight any projects where you've successfully implemented data solutions, focusing on your role in optimising data pipelines and ensuring data quality.
✨Demonstrate Leadership Skills
Since the role involves mentoring a team, share examples of how you've led teams in the past. Discuss your approach to fostering growth and collaboration within your team, and how you’ve managed project timelines and deliverables effectively.
✨Communicate Clearly
Given the importance of stakeholder management, practice explaining complex technical concepts in simple terms. Prepare to discuss how you've translated business requirements into technical solutions, ensuring that non-technical stakeholders understand your proposals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle real-world challenges. Think of scenarios where you've had to address risks proactively or implement best practices for process improvements, and be ready to explain your thought process and outcomes.
