At a Glance
- Tasks: Lead data engineering projects, optimise data pipelines, and mentor junior engineers.
- Company: Join a leading firm known for innovation and collaboration in data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work on exciting projects and develop your skills.
- Why this job: Make a real impact by transforming data into actionable insights and leading a talented team.
- Qualifications: Experience in data analytics, programming, and database management; degree preferred.
The predicted salary is between 70000 - 90000 £ per year.
Provides expert level data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes the deepest dive analytical skillset on a variety of internal and external data. Leads, instructs, and mentors newer Data Engineering crew.
Core Responsibilities
- Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
- Troubleshoots software and processes for data consistency and integrity.
- Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions.
- Translates business specifications into design specifications and code.
- Responsible for writing complex programs, ad hoc queries, and reports.
- Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
- Partners with internal clients to gain an expert understanding of business functions and informational needs.
- Works closely with other technical and data analytics experts across the business to implement data solutions.
- Leads all phases of solution development.
- Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
- Assesses data quality and tests code thoroughly for accuracy of intended purpose.
- Provides data analysis guidance and serves as a technical consultant for the client.
- Educates and develops junior data engineers on the team while applying quality control to their work.
- Develops data engineering standards and contributes expertise to other data expert teams across Vanguard.
- Tests and implements new software releases through regression testing.
- Identifies issues and engages with vendors to resolve and elevate software into production.
- Participates in special projects and performs other duties as assigned.
Qualifications
- Data analytics, programming, database administration, or data management experience.
- Undergraduate degree or equivalent combination of training and experience.
- Graduate degree preferred.
Data Engineering Technical Lead employer: 慨正橡扯
As a Data Engineering Technical Lead at Vanguard, you will thrive in a dynamic work culture that prioritises innovation and collaboration. With a strong commitment to employee growth, Vanguard offers extensive training opportunities and mentorship from seasoned professionals, ensuring you can advance your career while contributing to impactful data solutions. Located in a vibrant area, the company provides a supportive environment where your expertise will be valued, and your contributions will directly influence business decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Technical Lead
✨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 hunt for a new role. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data solutions, ETL processes, and any projects you've led. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data pipelines, troubleshooting, and mentoring others. Practice explaining complex concepts in simple terms, as you'll likely need to communicate with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to track your application and get back to you quickly.
We think you need these skills to ace Data Engineering Technical Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineering Technical Lead role. Highlight your expertise in ETL processes, database design, and any mentoring experience you've had. We want to see how you can bring value to our team!
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 your background aligns with our needs. Don’t forget to mention any specific projects or achievements that showcase your analytical skills.
Showcase Your Technical Skills:In your application, be sure to highlight your programming abilities and experience with data quality testing. We love seeing examples of how you've tackled complex data challenges in the past, so don’t hold back on the details!
Apply Through Our Website:We encourage you to apply directly 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 慨正橡扯
✨Know Your ETL Inside Out
Make sure you can confidently discuss your experience with ETL processes. Be prepared to explain how you've designed and optimised these systems in the past, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Analytical Skills
Be ready to dive deep into your analytical skillset. Prepare examples of how you've used data to drive decisions or solve problems, and be specific about the tools and techniques you employed.
✨Demonstrate Leadership and Mentorship
Since this role involves leading and mentoring, think of instances where you've guided less experienced team members. Share how you approached teaching complex concepts and the impact it had on the team's performance.
✨Prepare for Technical Discussions
Expect to explain technical considerations clearly, especially when discussing your code and design specifications. Practise articulating your thought process and be ready to answer questions about your previous projects and their outcomes.
