At a Glance
- Tasks: Drive data growth and efficiency in a dynamic environment with a talented team.
- Company: Join a forward-thinking company passionate about data.
- Benefits: Gain hands-on experience and grow your career in an innovative setting.
- Why this job: Make a real impact on data processes and infrastructure capabilities.
- Qualifications: Proficiency in SQL, dbt experience, and basic Python skills.
- Other info: Collaborative team culture with opportunities for professional development.
The predicted salary is between 45000 - 55000 £ per year.
Are you passionate about data and eager to advance your career in a dynamic environment? Join our client as a Data Engineer and drive the growth and efficiency of the Data Warehouse and Data Pipelines alongside a talented team. This role is perfect for a motivated individual looking to impact and grow within a forward-thinking company. If you have a passion for data and a drive to excel, this could be the ideal next step in your career.
Professional Growth
Gain hands-on experience in data modelling and technical problem-solving.
Innovative Environment
Engage in cutting-edge data integration projects.
Supportive Team
Work within a collaborative and creative team.
Impactful Work
Enhance the company data processes and infrastructure capabilities.
Key area of responsibilities
- Data Stack Monitoring: Ensure seamless data operations.
- Data Modelling: Design and modify data models using dbt Core and VS Code.
- Data Source Integration: Integrate new data sources into the Data Pipeline and Data Warehouse.
Essential Skills and Experience
- SQL: Proficiency in PostgreSQL or Snowflake SQL.
- dbt Experience: Preferably with dbt Core.
- Business Process Modelling: Using SQL in dbt.
- Version Control: Familiarity with Git.
- Cloud Data Warehouse: Understanding concepts and design.
- API Knowledge: Proficiency with SOAP, REST APIs, JSON, and YAML.
- Basic Python: For data retrieval and manipulation.
- CI/CD: Familiarity with Bitbucket Pipelines.
- Snowflake, Fivetran, AWS S3, and Lambda: Experience is advantageous.
Data Engineer in London employer: Plumstead Consulting
Contact Detail:
Plumstead Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts on LinkedIn. 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 projects, especially those involving SQL, dbt, and cloud technologies. 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 common data engineering questions and practical tasks. Practice explaining your thought process when solving problems, as this is often just as important as the solution itself.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for passionate data engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your proficiency in SQL, dbt, and any relevant projects you've worked on. We want to see how you can contribute to our dynamic environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and explain why you're excited about this opportunity. Let us know how you can drive growth and efficiency in our Data Warehouse and Pipelines.
Showcase Your Technical Skills: Don’t forget to mention your experience with tools like PostgreSQL, Snowflake, and Git. If you've worked with cloud data warehouses or APIs, make sure to include that too! We love seeing candidates who are technically savvy.
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 don’t miss out on any important updates. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Plumstead Consulting
✨Know Your Data Stack
Make sure you brush up on your knowledge of data stack components like PostgreSQL, Snowflake, and dbt Core. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of technical challenges you've faced and how you resolved them. This could involve data modelling or integrating new data sources. Highlighting your problem-solving approach will demonstrate your ability to thrive in a dynamic environment.
✨Familiarise Yourself with APIs
Since API knowledge is essential for this role, make sure you can explain the differences between SOAP and REST APIs. If you have experience working with JSON and YAML, be ready to discuss that too. This will show your depth of understanding in data integration.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data processes and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a win-win!