At a Glance
- Tasks: Build and maintain robust ETL/ELT pipelines using Snowflake and optimise data models.
- Company: Join Lumenalta, a leader in digital product development for global enterprises.
- Benefits: Fully remote role with flexible hours and competitive pay.
- Other info: Collaborate with cross-functional teams in a dynamic, innovative environment.
- Why this job: Make an impact by working on high-performance solutions that handle massive data volumes.
- Qualifications: 7+ years in data engineering with strong Snowflake, Python, and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
Join to apply for the Data Engineer - Snowflake (Remote) role at Lumenalta. We partner with global enterprises to launch digital products that interact with millions of users and massive data volumes. Our work requires scalable architecture, creative problem‑solving, and seamless platform integration.
What You'll Do
- Join the team as a Senior‑Level Data Engineer
- Build and maintain robust ETL/ELT pipelines using Snowflake
- Optimize data models and manage large, complex datasets
- Use tools like Python, raw SQL, dbt, and AWS to deliver high‑performance solutions
- Collaborate with cross‑functional teams to support enterprise data needs
What We’re Looking For
- 7+ years of experience in data engineering
- Strong hands‑on experience with Snowflake, including data modeling and performance tuning
- Advanced Python and SQL skills
- Experience with AWS and modern data stack tools (e.g., dbt, Airflow, Fivetran)
- Proven experience building ETL/ELT pipelines from scratch
- Fluent in English (spoken and written)
Location
This is a fully remote position. Most of the team works in EST hours, with flexibility for candidates located in Europe.
Application Deadline
We’re reviewing applications as they come in and will move forward as soon as we find the right candidate.
Seniority Level
Mid‑Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Data Engineer - Snowflake (Remote) employer: Lumenalta
Lumenalta is an exceptional employer that fosters a dynamic and innovative work culture, perfect for experienced Data Engineers looking to make a significant impact. With the flexibility of a fully remote position, employees enjoy a healthy work-life balance while collaborating with global enterprises on cutting-edge digital products. The company prioritises professional growth, offering opportunities to enhance skills in advanced data technologies and work alongside talented cross-functional teams.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Snowflake (Remote)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lumenalta!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer - Snowflake (Remote) at Lumenalta.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lumenalta.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Snowflake (Remote) at Lumenalta, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer - Snowflake (Remote)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lumenalta, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lumenalta. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lumenalta
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lumenalta!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
