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For Companies At a Glance
- Tasks: Lead the development of a cutting-edge data platform and manage data solutions.
- Company: Morgan Advanced Materials is a global leader in advanced materials innovation.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a transformative journey that shapes the future of data in a leading company.
- Qualifications: 5+ years in data engineering with expertise in Azure tools and strong problem-solving skills.
- Other info: Join a diverse team committed to innovation and excellence in data management.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Role: Senior Data Engineer and Platform Lead -Manufacturing
Location: Hybrid / Remote
Position: Staff
Morgan Advanced Materials is a world leader in the development and production of advanced materials. We produce a wide range of specialist, high specification materials that have extraordinary attributes and properties. Despite the complexity of our technologies, our focus is simple – we supply innovative, differentiated products made from advanced materials that enable our customers’ products to perform more efficiently, more reliably and for longer.
Morgan is making a significant investment in establishing a world-class global data team, and we are excited to welcome new employees who will play a crucial role in this initiative. As part of this team, you will be instrumental in building the future data platform that will drive the success of our enterprise. Your contributions will not only shape the foundation of our data capabilities but also help position Morgan as a leader in leveraging data to achieve strategic business goals. This is a unique opportunity to be a part of a transformative journey, where your efforts will directly impact the future growth and innovation of the company.
Role: Senior Data Engineer and Platform Lead
Location: Hybrid / Remote
Position: Staff
We are looking for a highly skilled and experienced Azure Data Engineer to join our dynamic Global Data & Analytics Platform team. The successful candidate will be responsible for delivering scalable data solutions on the Global Data Platform, managing the platform, and driving its further development. This role requires proficiency in data engineering, data modelling, and data pipeline orchestration, with a proven track record of working with Azure-specific data platform tools and technologies. Strategic and forward-thinking capabilities, as well as experience in applying AI within a business data environment, are essential. Additionally, strong soft skills are necessary to collaborate effectively with cross-functional international teams and communicate complex technical concepts to non-technical stakeholders.
Responsibilities
Role Description:
- Take ownership of the Azure-hosted analytical platform, ensuring it meets current and future business requirements.
- Optimize the platform for performance, security, and scalability, ensuring alignment with best practices.
- Design and develop scalable ETL pipelines and data solutions using Azure Data Factory, Synapse Analytics, and related tools.
- Work closely with stakeholders to understand business needs and translate them into actionable data solutions.
- Lead and mentor the Data & Analytics team, ensuring the smooth operation of data pipelines and alignment with organizational objectives.
Responsibilities:
Team Leadership and Coordination:
- Provide technical guidance and mentorship to the Data & Analytics team.
- Oversee the team’s Agile processes including sprints, ask prioritisation and issue resolution
- Define best practices for data pipeline design, development, and maintenance.
- Coordinate with the solution architect to ensure platform architecture meets current and future requirements.
- Act as a point of escalation for complex data engineering challenges.
Data Engineering:
- Design, build, and maintain data pipelines for seamless integration of ERP and other critical data sources into Azure Synapse.
- Ensure data workflows are optimized for performance, scalability, and reliability.
- Lead efforts to standardize ETL/ELT processes and enforce data quality standards across the platform.
- Implement data transformation logic to create clean, usable datasets for reporting and analytics.
Platform Administration and Optimization:
- Monitor and optimize Azure Synapse Analytics performance, ensuring cost efficiency and resource utilization.
- Implement monitoring and alerting for pipeline performance, failures, and resource consumption.
- Suggest and implement automation for repetitive tasks using tools like Azure Logic Apps, Power Automate, or custom scripting.
- Collaborate with the Data Governance Lead to ensure compliance with governance and security standards.
Business and Stakeholder Collaboration:
- Work closely with business units to understand data requirements and ensure outputs align with business needs.
- Validate that datasets and reports delivered by Power BI developers meet performance and usability standards.
- Support data-driven decision-making by ensuring high-quality and accessible data across the organization.
Innovation and Strategy:
- Stay updated on advancements in Azure, Synapse, data engineering tools and other relevant technologies to recommend and implement improvements.
- Identify opportunities to leverage advanced data processing techniques (e.g., big data, real-time processing) and AI.
- Contribute to the long-term strategy for the GDP, including scaling the platform for future needs.
Key Skills:
- Leadership: Experience managing and mentoring data engineers or technical teams.
- Technical Expertise:
- Advanced knowledge of Azure Synapse Analytics, Azure Data Factory, and SQL.
- Proficiency in ETL/ELT pipeline design and optimization.
- Familiarity with automation tools (Azure Logic Apps, Power Automate, Python, or PowerShell scripting).
- Knowledge of cloud performance optimization and cost management.
Qualifications
EXPERIENCE & BACKGROUND
Qualifications/Experience
- Bachelor or Master degree in a related field of study
- 5+ years of experience in data engineering, with a strong focus on Azure cloud services across a mixture of Enterprise and SME environments
- Proficiency in Python, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lakes, and big data technologies like Apache Spark
- Experience with DevOps practices and CI/CD pipelines in an Azure environment is a plus.
- Certification in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate) is highly desirable.
- Excellent problem-solving abilities, strong communication skills, ability to work collaboratively in a team environment, and a keen attention to detail.
- Fully up to speed with Agile development methodologies e.g., DevOps, Scrum (EPICs, Stories, Task, Issues, Bugs)
- Excellent analytical and problem-solving skills and the ability to troubleshoot complex issues
- Excellent stakeholder management, communication and interpersonal skills
- Ability to thrive in a fast-paced and collaborative environment
- Detail-oriented and well-organized
Morgan Advanced Materials is an EEO/AA/M/W/D/V Employer Ind-1
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Senior Data Engineer and Platform Lead - Morgan Advanced Materials - Remote employer: The Remote Job Journal
Contact Detail:
The Remote Job Journal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer and Platform Lead - Morgan Advanced Materials - Remote
✨Tip Number 1
Familiarise yourself with Azure-specific tools and technologies mentioned in the job description, such as Azure Data Factory and Synapse Analytics. This will not only help you understand the role better but also allow you to speak confidently about your experience with these platforms during any discussions.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've mentored or led teams in previous roles. Morgan Advanced Materials is looking for someone who can guide their Data & Analytics team, so be ready to discuss your approach to team management and collaboration.
✨Tip Number 3
Research Morgan Advanced Materials and their current initiatives in data engineering. Understanding their business goals and how your role as a Senior Data Engineer can contribute to those objectives will demonstrate your genuine interest in the company and the position.
✨Tip Number 4
Prepare to discuss your experience with data governance and compliance, as this is a key aspect of the role. Be ready to explain how you've ensured data quality and security in past projects, which will highlight your alignment with the company's standards.
We think you need these skills to ace Senior Data Engineer and Platform Lead - Morgan Advanced Materials - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure tools. Use specific examples that demonstrate your proficiency in ETL pipeline design and your ability to lead teams.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with Morgan Advanced Materials' goals, especially in building a world-class data team.
Showcase Technical Skills: Clearly outline your technical skills related to Azure Data Factory, Synapse Analytics, and any other relevant technologies. Mention any certifications you hold, such as the Microsoft Certified: Azure Data Engineer Associate.
Highlight Leadership Experience: Since the role involves mentoring and leading a team, emphasise any previous leadership roles or experiences where you successfully guided a team through complex projects or challenges.
How to prepare for a job interview at The Remote Job Journal
✨Showcase Your Technical Expertise
Make sure to highlight your proficiency in Azure Data Factory, Synapse Analytics, and SQL during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on experience and technical capabilities.
✨Emphasise Leadership Skills
Since the role involves mentoring and leading a team, be ready to share examples of how you've guided others in previous positions. Discuss your approach to team management, Agile processes, and how you handle complex challenges within a team setting.
✨Understand the Business Context
Research Morgan Advanced Materials and their focus on advanced materials. Be prepared to discuss how your data engineering skills can align with their business goals and contribute to their strategic initiatives, especially in optimising data solutions for performance and scalability.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to design scalable ETL pipelines or optimise data workflows, and be ready to explain your thought process and the outcomes of your decisions.
