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For Companies At a Glance
- Tasks: Lead a team to design and optimize data solutions for clients' infrastructure.
- Company: Join a dynamic Technology Hub focused on innovative data applications and services.
- Benefits: Enjoy flexible work with 2 days in the office, 3 days WFH, plus great perks like pension and life assurance.
- Why this job: Be part of a pivotal role that shapes data integrity and fosters innovation across all initiatives.
- Qualifications: 6+ years in Data Engineering, strong Azure skills, and experience leading teams required.
- Other info: Mentorship opportunities and continuous learning in the latest technologies await you!
The predicted salary is between 48000 - 84000 £ per year.
The Data Engineer Manager is responsible drive 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.
Excellent benefits plus 2 days in the Canary Wharf office, 3 days WFH, pension, life assurance, season ticket loan and lot\’s more.
As part of the Technology Hub within the client, 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 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.
Skills Knowledge and Expertise
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 Engineer Manager in East London employer: Ikhoi Recruitment
Contact Detail:
Ikhoi Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Manager in East London
✨Tip Number 1
Make sure to showcase your leadership skills and experience in managing data engineering teams. Highlight any specific projects where you successfully mentored team members or led initiatives that improved data solutions.
✨Tip Number 2
Familiarize yourself with the latest Azure technologies mentioned in the job description, such as Databricks and Azure Functions. Being able to discuss these tools confidently during interviews will demonstrate your technical expertise and alignment with the role.
✨Tip Number 3
Prepare examples of how you've implemented best practices for data governance and security in previous roles. This will show your understanding of compliance standards and your ability to maintain data integrity.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who work with Azure. Engaging with industry peers can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Engineer Manager in East London
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Engineer Manager position. Understand the key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, architecture, and governance frameworks. Emphasize your leadership experience and technical skills, especially in Azure and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data solutions and your ability to mentor teams. Mention specific projects or achievements that demonstrate your expertise in managing data infrastructure and delivering successful outcomes.
Highlight Soft Skills: In your application, don't forget to mention your communication and stakeholder management abilities. These are crucial for the role, so provide examples of how you've successfully collaborated with others in previous positions.
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 implemented data solutions, focusing on your role in optimizing data pipelines and ensuring data quality.
✨Demonstrate Leadership Skills
Since the role involves mentoring a team, share examples of how you've successfully led teams in the past. Discuss your approach to fostering growth and collaboration among team members, and how you handle challenges within a team setting.
✨Communicate Clearly with Stakeholders
Practice explaining complex technical concepts in simple terms. Be ready to provide examples of how you've translated business requirements into technical solutions, showcasing your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Think of scenarios where you had to address risks or implement best practices in data governance and security, and be ready to discuss your thought process and outcomes.
