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- Tasks: Lead a team to design and manage scalable data pipelines using Azure and Python.
- Company: Join a top brokerage in Central London, renowned for its innovative approach.
- Benefits: Enjoy a competitive salary, bonuses, and a modern office environment with flexible work options.
- Why this job: Be part of a dynamic team, making impactful data-driven decisions in a cutting-edge industry.
- Qualifications: Experience in data engineering, Azure services, and team leadership is essential.
- Other info: This role requires 3 days onsite in a state-of-the-art office.
The predicted salary is between 95000 - 125000 £ per year.
I'm looking for an experienced Data Engineering Manager to join a leading Brokerage in Central London and lead an initial team of 2 Senior Data Engineers. You will be responsible for managing large-scale data pipelines, ensuring data quality and integrity, and supporting cross-functional teams with reliable and scalable data solutions—primarily using Microsoft Azure, Python, Databricks, as well as the integration of Microsoft Fabric. This role will require 3 days a week onsite in their state of the art office and will remain a technically hands-on role.
Key Responsibilities
- Design, build, and manage scalable data pipelines and ETL/ELT processes in Azure Data Factory, Databricks, and other Azure services.
- Develop and maintain data models, data lakes, and data warehouses (e.g., Azure Synapse).
- Use Python for data manipulation, transformation, and automation tasks.
- Collaborate with data analysts and stakeholders to meet business requirements.
- Monitor system performance and proactively resolve bottlenecks or issues.
- Experience with Power BI or other visualization tools.
- Lead a team of 2 Senior Data Engineers.
Apply today or get in touch with me for more info at sean.kennedy@harringtonstarr.com
Data Engineering Manager employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Familiarise yourself with Microsoft Azure and its data services, as this role heavily relies on them. Consider taking a short online course or certification to demonstrate your knowledge and commitment to potential employers.
✨Tip Number 2
Brush up on your Python skills, particularly in data manipulation and automation. Being able to showcase specific projects or examples where you've used Python effectively will set you apart from other candidates.
✨Tip Number 3
Highlight any experience you have with leading teams or managing projects. Even if it's informal leadership, being able to discuss how you've guided others or contributed to team success can be a big plus.
✨Tip Number 4
Prepare to discuss your approach to ensuring data quality and integrity. Think of specific challenges you've faced in the past and how you resolved them, as this will demonstrate your problem-solving skills and technical expertise.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Microsoft Azure, Python, and Databricks. Emphasise any leadership roles or projects where you've managed teams or large-scale data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and your understanding of the brokerage industry. Mention specific examples of how you've successfully implemented data solutions and led teams in the past.
Showcase Technical Skills: Clearly outline your technical skills related to the job description, such as your experience with ETL/ELT processes, data modelling, and tools like Power BI. Use bullet points for clarity and impact.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of how you've collaborated with data analysts and stakeholders to meet business requirements. This will demonstrate your ability to work effectively in a team environment.
How to prepare for a job interview at Harrington Starr
✨Showcase Your Technical Skills
As a Data Engineering Manager, you'll need to demonstrate your expertise in Azure, Python, and Databricks. Be prepared to discuss specific projects where you've successfully built and managed data pipelines, and highlight any challenges you overcame.
✨Emphasise Leadership Experience
Since this role involves leading a team of Senior Data Engineers, it's crucial to showcase your leadership skills. Share examples of how you've managed teams, mentored junior staff, or facilitated collaboration among cross-functional teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would handle specific scenarios related to data quality issues or performance bottlenecks in data systems, as these are common challenges in the field.
✨Understand the Business Context
Familiarise yourself with the brokerage industry and how data engineering supports business objectives. Being able to articulate how your work can drive value for the company will set you apart from other candidates.
