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- Tasks: Lead a team in migrating legacy databases to the cloud and ensure data quality.
- Company: Join a top financial services provider in London, shaping their data strategy.
- Benefits: Enjoy a hybrid work model with competitive salary and growth opportunities.
- Why this job: Be at the forefront of cloud migration and data engineering in a dynamic environment.
- Qualifications: Experience in team leadership, database management, and cloud migration is essential.
- Other info: Candidates must be based in the UK with full right to work.
The predicted salary is between 70000 - 75000 £ per year.
Data Engineering Team Lead
Financial Services
London, UK – Hybrid, 2 days/week in office
Salary: £70-75,000 + DOE
Gresham Hunt is currently partnered with a leading financial services provider who are seeking an experienced Data Engineering Team Lead to join their London-based team. This is an exciting opportunity to play a lead role in the development of the cloud migration strategy as well as maintaining the firm’s existing legacy on-prem database infrastructure.
Responsibilities:
- Oversee the establishment of a framework, processes, and systems for a central data view to run and improve the business with strategy and governance.
- Lead the migration of on-premise legacy databases to the cloud, including developing a strategy, plan, and implementation with other teams.
- Oversee the engineering processes to build data pipelines, integrate data sources, clean and transform data.
- Coach the team on techniques for building code to extract raw data and ensure data quality across the pipeline.
- Provide expertise on transforming raw data for downstream data sources.
- Guide the development of data tools for data transformation, management, and access.
- Advise the team on writing and validating code to test data platform storage and availability for improved resilience.
- Oversee the implementation of performance monitoring protocols across data pipelines.
- Coach the team on building visualizations and aggregations to monitor pipeline health.
- Implement solutions to minimize points of failure across environments.
- Oversee the design of data modelling and handling procedures to ensure compliance with all applicable laws and policies.
- Work with stakeholders across directorates to address data concerns.
- Support assessment of data costs, access, usage, use cases, dependencies across products, and data availability for internal and external stakeholders.
- Build cross-functional relationships with IT, Security, and Architecture to support data requirement delivery to business stakeholders.
The Successful Candidate will have experience in:
- Team Leadership: Previous experience managing a team of Data Engineers and Analysts.
- Database Management: Extensive knowledge of MS SQL databases, both Azure cloud and on-premises, including design, modelling, and architecture.
- Cloud Migration: Experience in migrating legacy applications to the cloud.
- Data Tools and Programming: Proficiency in data tools and programming languages like Python, DAX, R, M, VBA, and the SQL Stack (SSMS, SSIS, SSAS, SSRS).
- Data Visualization: Experience with data visualization tools such as Power BI, Qlik, and Tableau.
- Data Engineering and Analytics: Proven ability to establish, develop, and implement a data engineering and data analytics practice area or function.
- Stakeholder Management: Effectively understanding and addressing stakeholder needs.
- Graphical Development Tools: Experience with tools like Data Flows, Ab Initio, and Power Apps (desirable).
For a confidential conversation please forward your CV to:
All candidates must currently be based in the UK with full right to work.
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Data Engineering Team Lead employer: Gresham Hunt
Contact Detail:
Gresham Hunt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Team Lead
✨Tip Number 1
Make sure to highlight your experience in team leadership and managing data engineering teams. This role requires someone who can effectively coach and guide a team, so be prepared to discuss your leadership style and any successful projects you've led.
✨Tip Number 2
Familiarize yourself with the specific cloud migration strategies relevant to financial services. Being able to articulate your understanding of cloud technologies and how they apply to legacy systems will set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've implemented data quality measures and performance monitoring in previous roles. The ability to ensure data integrity and pipeline health is crucial for this position.
✨Tip Number 4
Build a solid understanding of the tools mentioned in the job description, especially MS SQL databases and data visualization tools like Power BI. Being able to discuss your hands-on experience with these tools will demonstrate your technical proficiency.
We think you need these skills to ace Data Engineering Team Lead
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineering Team Lead position. Understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in team leadership, database management, and cloud migration. Use specific examples that demonstrate your proficiency in data tools and programming languages mentioned in the job description.
Showcase Your Technical Skills: Clearly outline your technical skills related to MS SQL databases, data visualization tools, and programming languages like Python and R. Mention any relevant projects or achievements that showcase your expertise.
Tailor Your Cover Letter: Write a personalized cover letter that addresses the specific needs of the company. Discuss how your background aligns with their goals, particularly in establishing a data engineering practice and managing stakeholder relationships.
How to prepare for a job interview at Gresham Hunt
✨Showcase Your Leadership Skills
As a Data Engineering Team Lead, your ability to manage and inspire a team is crucial. Be prepared to discuss your previous leadership experiences, how you’ve coached team members, and the strategies you’ve implemented to foster collaboration and growth within your team.
✨Demonstrate Technical Expertise
Make sure to highlight your extensive knowledge of MS SQL databases and cloud migration experience. Be ready to discuss specific projects where you've successfully migrated legacy applications to the cloud and the tools you used, such as Python or SQL Stack.
✨Discuss Stakeholder Management
Stakeholder management is key in this role. Prepare examples of how you've effectively communicated with various stakeholders, addressed their needs, and ensured that data requirements were met across different departments.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in data engineering, such as ensuring data quality or minimizing points of failure, and how you approached these situations.
