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- Tasks: Lead a team to design and optimise data solutions for clients' infrastructure.
- Company: Join a forward-thinking tech hub focused on data excellence and innovation.
- Benefits: Enjoy flexible work with 2 days in the office, 3 days WFH, plus great perks!
- Why this job: Be part of a dynamic team shaping the future of data management and governance.
- Qualifications: 6+ years in Data Engineering; strong Azure and Python skills required.
- Other info: Mentorship opportunities and continuous learning in cutting-edge technologies await you.
The predicted salary is between 48000 - 84000 £ per year.
The Data Engineer Manager is responsible for driving the design, development, and optimization of data solutions in clients' data infrastructure. In addition to fostering the growth of a skilled team, you will play a pivotal role in delivering clients' data applications, infrastructure, and services, ensuring they align with organizational goals and industry best practices.
As part of the Technology Hub within the client, the Data Engineer Manager will work very closely with all teams across the client. The role is instrumental in defining and upholding a clear vision for the integrity of data life cycle management, aligning with clients' strategic goal of becoming a centre of expertise. Additionally, it ensures stewardship of clients' 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 client's 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 optimise 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 optimisation 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.
- Essential: 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.
DATA Engineering Manager employer: Ikhoi Recruitment
Contact Detail:
Ikhoi Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DATA Engineering Manager
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with Azure and data governance. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your leadership skills by discussing any mentoring or team management experiences you have had. Highlight how you've successfully guided teams in implementing data solutions or optimising processes, as this is crucial for the Data Engineering Manager role.
✨Tip Number 3
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure Databricks and SQL Data Warehouse. Consider working on personal projects or contributing to open-source projects that utilise these technologies to demonstrate your hands-on experience.
✨Tip Number 4
Prepare to discuss your approach to data security and compliance during interviews. Be ready to provide examples of how you've implemented best practices in previous roles, as this will show your understanding of the importance of data stewardship in the organisation.
We think you need these skills to ace DATA Engineering 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 leadership skills and any relevant projects you've managed, particularly those involving Azure technologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the responsibilities of the Data Engineering Manager role. Mention specific experiences that demonstrate your ability to mentor teams and implement data solutions.
Showcase Technical Skills: Clearly outline your technical expertise in Azure services, Python, and ETL/ELT processes. Provide examples of how you've successfully implemented these technologies in past roles, especially in relation to data security and compliance.
Highlight Communication Abilities: Since excellent communication is essential for this role, include examples of how you've effectively communicated complex technical concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business needs.
How to prepare for a job interview at Ikhoi Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Azure and data engineering tools in detail. Highlight specific projects where you've implemented data solutions, focusing on your role in optimising data pipelines and ensuring data quality.
✨Demonstrate Leadership Skills
As a Data Engineering Manager, you'll need to lead a team. Share examples of how you've mentored engineers or led teams in the past. Discuss your approach to fostering a collaborative environment and driving team success.
✨Communicate Clearly
Excellent communication is key for this role. Practice explaining complex technical concepts in simple terms, as you may need to present ideas to non-technical stakeholders. This will show your ability to bridge the gap between technical and business needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Prepare to discuss how you would handle specific challenges related to data governance, security, and project management, demonstrating your strategic thinking.
