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Spait Infotech

Snowflake Data Engineer

United Kingdom
Posted about 15 hours ago
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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.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It searches the market for you

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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.

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Strong

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.

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Strong

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Key Responsibilities

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  • 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.
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Location

United Kingdom

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