At a Glance
- Tasks: Design and optimise cloud data platforms using DBT and Snowflake.
- Company: Join a global tech consulting firm transforming businesses with digital solutions.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make an impact by building scalable data solutions in a dynamic team.
- Qualifications: Hands-on experience with DBT, Snowflake, and advanced SQL skills required.
The predicted salary is between 59400 - 72600 £ per year.
LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.
Role: DBT Snowflake Data Engineer
Location: London UK - 2-3 days a week in office
We are looking for DBT and Snowflake to design, develop, and optimize modern cloud data platforms. The candidate will be responsible for building scalable ELT pipelines, implementing data transformation frameworks, and ensuring data quality and performance.
Key Responsibilities:
- Develop and maintain data transformation pipelines using DBT
- Design, develop, and optimize Snowflake data warehouse solutions
- Create and manage dimensional and data mart models
- Implement data quality testing and monitoring frameworks
- Perform query tuning and performance optimization in Snowflake
- Collaborate with business and technical stakeholders to understand data requirements
- Support CICD deployment processes for data solutions
- Troubleshoot and resolve production data issues
Must Have Skills:
- Strong hands-on experience with DBT Data Build Tool
- Expertise in Snowflake Data Warehouse
- Advanced SQL development and performance tuning
- Data modelling (Star Schema, Dimensional Modelling)
- Experience with ELT/ETL concepts
- Git version control and CICD practices
- Experience working in Agile environments
Nice to Have Skills:
- Python or PySpark
- Azure Data Factory (ADF)
- Azure DevOps pipelines
- Exposure to Data Ops practices
- Knowledge of Power BI or other BI tools
DBT Snowflake Data Engineer in London employer: LTM
LTM Company is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals seeking to make a meaningful impact in the technology sector. With a strong focus on employee growth, LTM offers ample opportunities for career advancement and skill development, particularly in the dynamic field of Salesforce B2C Commerce Cloud. Located in London, employees benefit from a vibrant city atmosphere while enjoying a flexible work arrangement that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land DBT Snowflake Data Engineer in London
✨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 LTM!
✨Show Off Your Projects
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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 LTM.
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We think you need these skills to ace DBT Snowflake Data Engineer in London
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 LTM, 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 LTM. 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 LTM
✨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 LTM!
✨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.
