Senior Data Engineer

JR United Kingdom; Kingston upon Hull; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading company seeks a Senior Data Engineer in Kingston upon Hull to lead the design and implementation of data pipelines. This role demands strong technical skills and collaboration to enhance data integrity and support analytics needs, making it vital for optimized performance and insights in their data-driven approach.

Qualifications

• 5+ years of experience in building data pipelines and maintaining Data Warehouses.
• Strong skills in SQL, Python, and data analysis.

Responsibilities

• Design and implement data pipelines and models, ensuring data quality.
• Collaborate with product managers and engineers to understand data needs.

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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Senior Data Engineer, Kingston upon Hull, East Yorkshire

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Client:

Annapurna

Location:

Kingston upon Hull, East Yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

31.05.2025

Expiry Date:

15.07.2025

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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. With a focus on small and medium-sized businesses that drive our economy, they leverage detailed policy information to provide deep insights into insurance pools, with a diversified portfolio minimizing 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 from diverse data sources.
• Build, maintain, and optimize Data Warehouse to support reporting and analytics.
• Collaborate with product managers, stakeholders, and engineers to understand data needs and present insights effectively.
• Stay updated with industry trends in data modeling, database development, and analytics.
• Optimize pipelines, frameworks, and systems for 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 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.
• Willingness to learn, collaborate, and work independently.

If interested, apply below or contact [emailprotected]