Spait Infotech
Snowflake Data Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Key Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Strong knowledge of SQL and relational databases.
- Basic to intermediate knowledge of Python.
- Understanding of Snowflake architecture, databases, schemas, tables, stages, and warehouses.
- Basic understanding of ETL/ELT concepts and data pipelines.
- Knowledge of data warehousing and dimensional modeling.
- Basic understanding of AWS, Azure, or GCP.
- Familiarity with Git and version control.
- Exposure to dbt, Apache Airflow, or other data-engineering tools is an advantage.
- Good analytical, problem-solving, and communication skills.
- Internship or academic project experience in data engineering/cloud/data warehousing is a plus.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Develop and maintain ETL/ELT data pipelines using Snowflake and related technologies.
- Write and optimize SQL queries for data extraction and transformation.
- Load data from databases, CSV/files, APIs, and other sources into Snowflake.
- Perform data cleansing, transformation, and validation.
- Create and maintain tables, views, schemas, and basic data models.
- Monitor data pipelines and troubleshoot data-processing issues.
- Assist in improving Snowflake query performance and compute usage.
- Implement data-quality checks and ensure data accuracy.
- Work with senior data engineers, analysts, and other teams to understand data requirements.
- Maintain technical documentation for pipelines and data processes.
- Follow best practices for data security, access control, and version control.
- Learn and work with modern cloud data-engineering tools and technologies.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location