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- Tasks: Lead a team to manage data pipelines and analytics infrastructure using AWS and Snowflake.
- Company: Top financial services provider in the UK with a focus on innovation.
- Benefits: Professional development support and a flexible work environment.
- Why this job: Shape the future of data engineering while mentoring a talented team.
- Qualifications: 5+ years in data engineering with expertise in Airflow and AWS.
- Other info: Collaborative atmosphere with opportunities for career advancement.
The predicted salary is between 54000 - 84000 £ per year.
A leading financial services provider in the United Kingdom is seeking a Data Engineering Lead to mentor a team and oversee data pipeline orchestration with AWS and Snowflake. The ideal candidate will have over 5 years of experience in data engineering, with strong skills in Airflow and AWS technologies. This role involves collaboration with cross-functional teams and ensuring data governance. Benefits include professional development support and a flexible work environment.
Data Engineering Manager: Lead Pipelines & Analytics Infrastructure in City of Westminster employer: Alter Domus Luxembourg S.à r.l.
Contact Detail:
Alter Domus Luxembourg S.à r.l. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager: Lead Pipelines & Analytics Infrastructure in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipeline orchestration and analytics infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Airflow and AWS technologies, and think of examples where you've ensured data governance in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineering Manager: Lead Pipelines & Analytics Infrastructure in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with AWS and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Airflow and pipeline orchestration!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can lead our team. We love seeing candidates who can connect their past experiences to the responsibilities of the role.
Showcase Your Leadership Skills: As a Data Engineering Manager, mentoring is key. In your application, share examples of how you've led teams or projects in the past. We’re looking for someone who can inspire and guide others, so let that shine through!
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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Alter Domus Luxembourg S.à r.l.
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Snowflake, and Airflow. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to mentor your team. Prepare examples of how you've led teams in the past, focusing on your mentoring style and how you’ve helped others grow. This will demonstrate your capability to lead and inspire.
✨Understand Data Governance
Familiarise yourself with data governance principles and practices. Be prepared to discuss how you ensure data quality and compliance in your previous roles. This is crucial for the role, so showing your understanding will set you apart.
✨Collaborate and Communicate
Since this role involves working with cross-functional teams, think of examples where you successfully collaborated with other departments. Highlight your communication skills and how you bridge gaps between technical and non-technical stakeholders.
