At a Glance
- Tasks: Design and optimise data pipelines to support analytics in the financial services sector.
- Company: Join a leading firm in London focused on data innovation.
- Benefits: Competitive salary, health benefits, generous holiday allowance, and hybrid working options.
- Other info: Exciting opportunities for professional growth in a collaborative environment.
- Why this job: Make a real impact in data engineering while mentoring future talent.
- Qualifications: Experience with Azure, SQL, Python, and strong leadership skills required.
The predicted salary is between 90000 - 110000 £ per year.
The Lead Data Engineer will play a pivotal role in designing, building, and optimising data pipelines and architecture to support analytics and business intelligence in the financial services industry. This position, based in London, requires an individual with a strong technical background and a passion for data innovation.
Description
- Design, develop, and maintain scalable data pipelines and systems to process large datasets efficiently.
- Collaborate with analytics and business teams to understand data requirements and deliver tailored solutions.
- Ensure data quality, integrity, and security across all systems and processes.
- Optimise and troubleshoot existing data architectures to improve performance and reliability.
- Implement best practices for data engineering, including version control, testing, and documentation.
- Work closely with stakeholders to provide insights and support data-driven decision-making.
- Stay updated on emerging technologies and trends in data engineering and apply them to enhance operations.
- Mentor and guide junior team members, fostering a collaborative and knowledge-sharing environment.
Profile
- Strong experience designing and building scalable data platforms in Azure.
- Deep expertise in Azure Data Factory, SQL, and Python for ETL/ELT pipelines.
- Proven ability to lead, mentor, and develop data engineering teams.
- Hands-on experience with data warehousing, modelling, and performance tuning.
- Solid understanding of data governance, quality, and lineage frameworks.
- Experience implementing monitoring, automation, and platform reliability practices.
- Strong stakeholder management skills, translating business needs into technical solutions.
- Exposure to financial services or regulated environments with data security awareness.
Job Offer
- A competitive salary ranging from 90,000 to 110,000 per annum.
- Comprehensive health and pension benefits.
- Generous holiday allowance to support work-life balance.
- Hybrid working options for greater flexibility.
- A permanent role with opportunities for professional growth and development.
Lead Data Engineer - London. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
As a Lead Data Engineer at our London office, you will join a dynamic team that values innovation and collaboration in the financial services sector. We offer a competitive salary, comprehensive health benefits, and generous holiday allowances to ensure a healthy work-life balance. Our hybrid working model and commitment to professional development create an environment where you can thrive and grow your career while making a meaningful impact.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - London. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those in financial services. 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 data pipelines and projects. This is your chance to demonstrate your expertise in Azure, SQL, and Python, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've optimised data architectures and ensured data quality in past roles. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Lead Data Engineer - London. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Lead Data Engineer role. Highlight your experience with Azure, SQL, and Python, and don’t forget to mention any relevant projects that showcase your skills in building scalable data platforms.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data innovation and how your background aligns with our needs. Be sure to mention your experience in the financial services sector if applicable.
Showcase Your Technical Skills:In your application, be specific about your technical expertise. Mention any tools or technologies you've used for data pipelines, and provide examples of how you've optimised data architectures in the past. We love seeing real-world applications!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around Azure Data Factory, SQL, and Python. Brush up on your experience with ETL/ELT pipelines and be ready to discuss how you've designed and built scalable data platforms in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've optimised and troubleshot existing data architectures. Think about specific challenges you've faced and how you resolved them, particularly in a financial services context where data integrity is crucial.
✨Demonstrate Leadership and Mentorship
Since this role involves leading and mentoring a team, be ready to talk about your leadership style. Share experiences where you've guided junior team members or collaborated with stakeholders to translate business needs into technical solutions.
✨Stay Current with Trends
Show your passion for data innovation by discussing emerging technologies and trends in data engineering. Be prepared to explain how you’ve applied new tools or practices to enhance operations in your previous roles.
