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- Tasks: Lead a team of Data Engineers while managing hands-on data projects and enhancing our data platform.
- Company: Join a rapidly growing global business based in vibrant London.
- Benefits: Enjoy a competitive salary, attractive bonuses, and flexible remote work options.
- Why this job: Make a real impact on data-driven strategies in a collaborative environment.
- Qualifications: Experience in data engineering and team leadership is essential.
- Other info: Excellent career development opportunities await in a friendly workplace.
The predicted salary is between 85000 - 95000 £ per year.
This newly created Data Engineer Manager position is an excellent opportunity for someone that enjoys being hands-on technically as well as managing a small team of Data Engineers. It would suit those with official management experience, or potentially a Lead or Senior Engineer used to leading teams and now looking to take on more managerial responsibility.
Our client is a well-established and rapidly growing global business with its headquarters based in London. The Data Engineer Manager will play a pivotal role at the heart of our client's data & analytics operation. Having implemented a new MS Fabric based Data platform, the need is now to scale up and meet the demand to deliver data-driven insights and strategies right across the business globally. There'll be a hands-on element to the role as you'll be troubleshooting, doing code reviews, steering the team through deployments and acting as the escalation point for data engineering. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Our client can offer an excellent career development opportunity and a work environment that's vibrant, friendly, and collaborative.
Key Responsibilities include:
- Define and take ownership of the roadmap for the ongoing development and enhancement of the Data Platform.
- Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services.
- Advocate for engineering best practices and ensure long-term sustainability of systems.
- Integrate principles of data quality, observability, and governance throughout all processes.
- Participate in recruiting, mentoring, and developing a high-performing data organization.
- Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives.
- Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse).
- Collaborate with data analysts, Analytics Engineers, and various stakeholders to fulfil business requirements.
Key Experience, Skills and Knowledge:
- Experience leading data or platform teams in a production environment as a Senior Data Engineer, Tech Lead, Data Engineering Manager etc.
- Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines.
- Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar.
- Experience building, defining, and owning data models, data lakes, and data warehouses.
- Programming proficiency in the likes of Python, Pyspark, SQL, Scala or Java.
- Experience operating in a cloud-native environment such as Azure, AWS, GCP etc (Fabric experience would be beneficial but is not essential).
- Excellent stakeholder management and communication skills.
- A strategic mindset, with a practical approach to delivery and prioritisation.
- Exposure to data science concepts and techniques is highly desirable.
- Strong problem-solving skills and attention to detail.
Salary is dependent on experience and expected to be in the region of £85,000 - £95,000 + an attractive bonus scheme and benefits package.
For further information, please send your CV to Wayne Young at Young's Employment Services Ltd.
Data Engineer Manager employer: Youngs Employment Services
Contact Detail:
Youngs Employment Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for a Data Engineer Manager role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Get your hands dirty with some practical projects. Whether it's contributing to open-source projects or building your own data pipelines, showcasing your technical skills will make you stand out. Plus, it gives you something solid to discuss during interviews!
✨Tip Number 3
Prepare for those interviews by brushing up on your leadership and technical skills. Be ready to share examples of how you've managed teams and tackled complex data challenges. We want to see that you can lead while still being hands-on!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let's get you that Data Engineer Manager position!
We think you need these skills to ace Data Engineer Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer Manager role. Highlight your hands-on technical experience and any leadership roles you've had, as this is key for us.
Showcase Your Projects: Include specific examples of projects where you've implemented data pipelines or worked with tools like Azure Data Factory or Databricks. We love seeing how you've tackled challenges in your previous roles!
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for easy reading and make sure to clearly outline your achievements and responsibilities in past roles. We appreciate clarity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Youngs Employment Services
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like MS Fabric, Azure Data Factory, and Databricks. Brush up on your programming skills in Python, SQL, and any other relevant languages, as you might be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to discuss your previous leadership experiences. Think of specific examples where you’ve successfully led a project or mentored team members. Highlight how you can align multiple workstreams and advocate for best practices in data engineering.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and strategic mindset. Prepare for scenarios where you might need to troubleshoot a data pipeline issue or improve data quality. Practising these scenarios will help you articulate your thought process clearly.
✨Engage with Stakeholders
Communication is key in this role, so be ready to discuss how you’ve effectively collaborated with various stakeholders in the past. Share examples of how you’ve gathered requirements or communicated complex data concepts to non-technical audiences, showcasing your excellent stakeholder management skills.
