Data Engineer

Tenth Revolution Group; Leeds; On-site; GBP 80,000 - 85,000; Full time

Benefits offered by this job

Highly competitive salary

Performance-related bonus

Competitive annual leave package

Private medical care

Job summary

A data-focused company in Leeds is seeking a Data Engineer to design and manage Snowflake-based data pipelines. The ideal candidate will have extensive experience with Snowflake and AWS services, as well as skills in Python and data integration. This full-time role offers a competitive salary and has a mid-senior level designation, focusing on cloud-based data solutions.

Qualifications

• Experience with Snowflake is essential.
• Proficiency in AWS services like Glue and S3 is required.
• Expertise in Python and PySpark.
• Must have experience building data warehouses from scratch.
• Strong understanding of data integration and transformation processes.

Responsibilities

• Design and manage Snowflake-based data pipelines.
• Collaborate with stakeholders to identify data requirements.
• Ensure integration of data sources into Snowflake.
• Support data analysts and optimize models for reporting.
• Implement data governance policies for security.
• Monitor data system performance.

Skills

Snowflake

AWS data stack (Glue, S3, Athena)

Python

PySpark

Data integration

Data transformation

Data storage in a cloud-based environment

Job description

Overview

I am working with a brand new client, an end user based in Leeds who are building an exciting data practice, doing some highly advanced work in the data space.

Salary and Benefits

• Highly competitive salary of £80k - £85k (DOE)
• Performance-related bonus
• Competitive annual leave package
• Private medical care
• And many more

Role and Responsibilities

• Design and manage Snowflake-based data pipelines, ensuring data flows seamlessly from multiple sources into the data platform.
• Collaborate with business stakeholders and data analysts to identify data requirements and deliver the appropriate solutions.
• Ensure the integration of structured and unstructured data sources into Snowflake, optimizing data models for reporting.
• Work with data analysts to support their data needs and optimize semantic models for Snowflake-based reporting and analytics.
• Implement data governance policies and ensure data security across the Snowflake platform.
• Monitor and maintain the performance of data systems to ensure scalability and reliability.

What you need to apply

• Experience with Snowflake
• Experience with the AWS data stack (Glue, S3, Athena, etc)
• Python and PySpark expertise
• Experience building data warehouses from scratch
• Strong understanding of data integration, transformation, and storage in a cloud-based environment
• Experience working with structured and unstructured data sources in Snowflake.
• Knowledge of data governance, security practices, and best practices for Snowflake.

How to apply

If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at [e-mail] or you can call me on 0191 300 1232.

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Technology, Information and Media