Senior Data Engineer

Primis; United Kingdom; Remote; USD 32,000 - 36,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to transform their data architecture. In this dynamic role, you'll design and implement scalable data flows, enabling advanced analytics and real business value. Collaborating closely with product teams, you'll optimize data lifecycle processes and troubleshoot complex issues. This position offers the chance to make a significant impact in a flexible, remote working environment with generous holiday and healthcare benefits. If you're passionate about data and ready to lead, this opportunity is for you!

Benefits

Remote and flexible working

Annual Bonus

Private healthcare

45 days holiday

Training and certifications budget

Qualifications

• 4+ years of experience with advanced SQL databases.
• 3+ years of experience in Python or PowerShell scripting.

Responsibilities

• Build and support modern cloud data warehouse architecture.
• Design and develop robust ETL/ELT pipelines.

Skills

Advanced SQL

Python

PowerShell

Data Modeling

DBT

Snowflake Analytics

APIs (REST/SOAP)

CI/CD Tooling

Cloud Infrastructure

Agile Methodologies

Job description

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This range is provided by Primis . Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Are you a skilled Data Engineer ready to shape the future of data systems? We're looking for someone to drive the transformation of our architecture—building high-performance, resilient pipelines that enable advanced analytics and real business value from diverse data sources.

You’ll be part of a dynamic, agile environment, collaborating closely with analysts, architects, and product teams across the business.

This is a hands-on role with real impact—designing and implementing automated, scalable data flows, and enabling powerful insights across the organization.

What You’ll Be Doing

• Build and support modern cloud data warehouse architecture (Kimball, Data Vault, Data Mesh).
• Design dimensional models and develop robust ETL/ELT pipelines.
• Implement seamless data integrations between cloud and on-prem systems.
• Optimize data lifecycle: ingestion, transformation, storage, and deletion.
• Work closely with product managers and analysts to translate business needs into technical solutions.
• Troubleshoot and resolve complex data issues to meet SLAs.
• Apply creative schema design and automation to improve performance and data quality.
• Write and maintain documentation for configuration, tests, and processes.
• Lead by example—support and mentor others across the data platform.

Your Experience

• 4+ years working with advanced SQL (Oracle, PostgreSQL, MSSQL, etc.)
• 3+ years experience with Python or PowerShell scripting.
• 3+ years data modeling (facts, dimensions, normalization).
• 2+ years experience with DBT.
• Experience with Snowflake Analytics Platform.
• Working knowledge of APIs (REST/SOAP).
• Familiar with CI/CD tooling (GIT, Jenkins).
• Cloud-native thinking—solid understanding of cloud infrastructure.
• Experience in Agile environments.

What You’ll Get

• Remote and flexible working
• Annual Bonus and annual reviews
• Private healthcare, Eyecare & Dental with option for family
• 45 days holiday + Bank Holidays
• Training and certifications budget per calendar year
• More to be discussed!

Please apply directly or email [e-mail] with your most up to date CV

#DataEngineer #Python #Powershell #Snowflake #SQL #DBT #DatabuildTool

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development and Financial Services

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