Data Engineer (Snowflake)

Ethiq; England; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive compensation

Opportunities for professional growth

Collaborative environment

Job summary

A consulting firm in the UK seeks a Data Engineer (Snowflake) to design and implement scalable data solutions. You will work in a dynamic role requiring strong expertise in Snowflake and cloud data platforms. The ideal candidate will have over 5 years of experience, problem-solving skills, and the ability to collaborate with diverse teams to tackle complex data challenges. Competitive compensation and growth opportunities are offered.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Strong expertise in Snowflake, SQL, and cloud data platforms.
• Proficiency in Python for data transformation and automation.

Responsibilities

• Develop, implement, and optimise data pipelines and ELT processes on Snowflake.
• Design and implement scalable, high-performance cloud data architectures.
• Collaborate with data scientists and analysts to enable analytics and machine-learning solutions.

Skills

Data pipeline development

Snowflake

SQL

Python

Cloud platforms (AWS, Azure, GCP)

Data modelling

Data warehousing

DevOps practices

Problem-solving

Tools

dbt

Airflow

Kafka

Terraform

Job description

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

Base pay range

About Us

We are an ambitious consulting firm focused on delivering cutting‑edge solutions in data and AI. Our mission is to empower organisations to unlock the full potential of their data by leveraging platforms like Snowflake alongside other emerging technologies. As a Data Engineer, you will play a crucial role in building and optimising data solutions, ensuring scalability, performance, and reliability for our clients’ complex data challenges.

The Role

As a Data Engineer (Snowflake), you will be responsible for designing, implementing, and optimising large‑scale data processing systems. You’ll work closely with clients, data scientists, and solution architects to build efficient data pipelines, reliable infrastructure, and scalable analytics capabilities. This role requires strong technical expertise, problem‑solving ability, and the confidence to work in a dynamic, client‑facing environment.

Your Impact:

• Develop, implement, and optimise data pipelines and ELT processes on Snowflake.
• Work closely with clients to understand business requirements and translate them into technical solutions.
• Design and implement scalable, high‑performance cloud data architectures.
• Ensure data integrity, quality, and security through robust engineering practices.
• Monitor, troubleshoot, and optimise data workflows for efficiency and cost‑effectiveness.
• Collaborate with data scientists and analysts to enable analytics and machine‑learning solutions.
• Contribute to best practices, coding standards, and documentation to improve data engineering processes.
• Mentor junior engineers and support knowledge‑sharing across teams.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines using Snowflake, dbt, and SQL.
• Develop efficient ELT workflows to process large volumes of structured and semi‑structured data.
• Implement data governance, security, and compliance standards within Snowflake environments.
• Work with cloud platforms such as AWS, Azure, or GCP to manage data storage and integration.
• Collaborate with cross‑functional teams to enhance data accessibility and usability.
• Optimise data warehouse architectures for performance, scalability, and cost efficiency.
• Maintain and improve CI/CD processes for data pipeline deployment and monitoring.

What We Are Looking For:

• 5+ years of experience in data engineering or related roles.
• Strong expertise in Snowflake, SQL, and cloud data platforms (AWS, Azure, or GCP).
• Proficiency in Python for data transformation and automation.
• Experience with ELT development and orchestration tools (e.g. dbt, Airflow, Prefect).
• Knowledge of data modelling, data warehousing, and modern analytics architectures.
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure‑as‑code.
• Strong problem‑solving skills and the ability to work in fast‑paced environments.
• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• Experience integrating Snowflake with data visualisation or ML platforms.
• Knowledge of data streaming technologies such as Kafka or Kinesis.
• Familiarity with Terraform or similar infrastructure automation tools.
• Previous experience in consulting or client‑facing delivery roles.

What We Offer:

• Competitive compensation, including performance‑based incentives.
• Opportunities for professional growth and development in a fast‑growing firm.
• A collaborative and supportive environment that values innovation, excellence, and client success.

If you’re passionate about data engineering and ready to make an impact in AI‑driven consulting, we’d love to hear from you!

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Business Consulting and Services
• IT Services and IT Consulting
• Data Infrastructure and Analytics