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For Companies At a Glance
- Tasks: Design and build data models, develop data pipelines, and automate workflows.
- Company: Join a dynamic team at a growing tech company focused on data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by scaling our data infrastructure and driving analytics forward.
- Qualifications: 5+ years in data roles, strong SQL and Python skills, and cloud platform experience.
- Other info: Fast-paced environment with a focus on collaboration and cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a highly skilled Lead Data Engineer with a strong foundation in data analytics to join a growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You will help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform's evolution.
This is a hands-on role where you will be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team's velocity.
Key Responsibilities- Design, develop, and maintain data models to support analytical and operational use cases.
- Write efficient, production-grade SQL to build data pipelines and transformations.
- Develop and maintain data workflows and automation scripts in Python.
- Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions.
- (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform.
- Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions.
- 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer.
- Proven expertise in SQL and building complex data models.
- Strong proficiency in Python for data processing, ETL, and workflow automation.
- Experience with cloud data platforms (Snowflake experience highly desirable).
- Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus.
- Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding.
- Experience with modern data stack tools (e.g., dbt, Airflow, etc.).
- Understanding of CI/CD pipelines and data infrastructure automation.
- Familiarity with data governance, security, and best practices in a cloud environment.
Lead Data Engineer in City of London employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, SQL queries, and any automation scripts you've developed. 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 skills. Be ready to discuss your experience with SQL, Python, and any cloud platforms you've worked with. Practice common data engineering scenarios to impress your interviewers.
✨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 Lead Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your transition from Data Analyst to Data Engineer, and showcase your SQL and Python expertise.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to mention your experience with modern data warehousing technologies like Snowflake and any infrastructure as code tools like Terraform. We love seeing candidates who are hands-on and ready to dive into our tech stack!
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 without any hiccups!
How to prepare for a job interview at 83zero Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the data models and analytics tools mentioned in the job description. Brush up on your SQL skills and be ready to discuss how you've used them in past projects. Being able to talk confidently about your experience will show that you’re the right fit for the role.
✨Showcase Your Python Proficiency
Since Python is key for this role, prepare to discuss specific projects where you've used it for data processing or automation. Bring examples of scripts or workflows you've developed, and be ready to explain your thought process behind them. This will demonstrate your hands-on experience and problem-solving skills.
✨Familiarise Yourself with Cloud Technologies
If you have experience with Snowflake or similar cloud platforms, make sure to highlight it. Be prepared to discuss how you’ve leveraged these technologies to build scalable solutions. If you’ve worked with Terraform or other infrastructure-as-code tools, mention that too—it could give you an edge!
✨Prepare for Collaboration Questions
This role involves working closely with analysts and engineers, so expect questions about teamwork and collaboration. Think of examples where you’ve successfully worked in a team to deliver data solutions. Highlight your communication skills and how you ensure everyone is on the same page during projects.
