Senior Data Engineer

Annapurna; Stoke-on-Trent; Remote; GBP 50,000 - 80,000; Full time

Job summary

A leading company is seeking a Data Engineer to design and implement data pipelines, ensuring data quality and integrity. The role requires expertise in SQL, Python, and experience with Snowflake and AWS. This opportunity offers a chance to work with advanced data intelligence tools in a remote setting, contributing to the success of small and medium-sized businesses.

Qualifications

• 5+ years of experience in building data pipelines and maintaining Data Warehouses.
• Strong skills in SQL, Python, problem-solving, and data analysis.
• Deep experience with Snowflake, AWS, and dbt.

Responsibilities

• Design and implement data pipelines and models, ensuring data quality.
• Solve complex data integration problems and optimize Data Warehouse.
• Collaborate with stakeholders to understand data needs and present insights.

Skills

SQL

Python

Problem-solving

Data analysis

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field

Tools

Snowflake

AWS

dbt

Job description

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Full Job Description

Location: Remote (United Kingdom)

About the Company:

We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. Focusing on small and medium-sized businesses that drive our economy, they leverage granular policy information to provide unprecedented insights into insurance pools. Their portfolio is diversified with minimal catastrophe, aggregation, or systemic risks.

The Role:

• Design and implement data pipelines and models, ensuring data quality and integrity.
• Solve complex data integration problems using optimal patterns, frameworks, and query techniques, sourcing data from diverse sources.
• Build, maintain, and optimize the Data Warehouse to support reporting and analytics.
• Collaborate with product managers, stakeholders, and engineers to understand data needs and present key insights meaningfully.
• Stay updated with industry trends and best practices in data modeling, database development, and analytics.
• Optimize pipelines, frameworks, and systems to facilitate easier development of data artifacts.

You will be successful if you have:

• A Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in building data pipelines, models, and maintaining Data Warehouses for reporting and analytics.
• Strong skills in SQL, Python, problem-solving, and data analysis.
• Deep experience with Snowflake and AWS.
• Deep experience with dbt.
• Excellent communication and collaboration skills.
• A eagerness to learn, collaborate, and work independently.

If you would like to discuss this exciting opportunity, please apply below or reach out directly to us.