dcoded. | B Corp ™ pending
Snowflake Data Engineer

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Snowflake Data Engineer | £65,000 | Remote
Our client is a well-established organisation specialising in technology-led operational solutions that enable businesses to work more efficiently, minimise risk, and improve complex business processes. They have built a strong reputation for delivering dependable, high-quality services to a broad range of regional and national customers, becoming a trusted partner in their day-to-day operations.
By combining innovative technology with a customer-first approach, they provide tailored solutions designed to meet evolving business requirements. Continuous investment in digital innovation, process improvement, and strategic partnerships ensures they remain a leader within their sector. The business offers a collaborative working environment where continuous development, practical thinking, and long-term relationships are highly valued.
Opportunity
As a Data Engineer, you'll be responsible for developing and maintaining reliable data solutions that support the organisation's cloud-based analytics platform. You'll help design efficient data pipelines, improve data quality, and ensure the overall performance and reliability of the company's modern data infrastructure.
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Key Responsibilities
- Design, build, and maintain automated data ingestion processes using Fivetran.
- Develop and enhance scalable transformation models within dbt.
- Monitor, optimise, and manage Snowflake environments with a focus on performance and cost efficiency.
- Apply version control standards and support CI/CD processes for dbt development.
- Configure orchestration workflows and proactively monitor pipeline performance.
- Investigate and resolve data issues to ensure reliable and uninterrupted operations.
- Partner with Business Intelligence teams and Data Stewards to deliver accurate, governed datasets.
- Assist internal stakeholders by improving data accessibility and streamlining data workflows.


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About You
We're looking for an experienced Data Engineer who enjoys solving technical challenges and has hands-on experience with modern cloud-based data platforms.
You'll ideally have:
- Strong SQL skills with experience optimising Snowflake databases.
- Practical experience working with both Fivetran and dbt.
- Knowledge of data modelling principles, governance, and data security best practices.
- Exposure to workflow orchestration tools such as Airflow or Prefect would be advantageous.
- Experience working within Azure, AWS, or Google Cloud environments.
- Excellent analytical, problem-solving, and communication skills.
- A degree in Computer Science, Data Engineering, or equivalent commercial experience.
Benefits
- Death in Service cover worth 2x annual basic salary.
- 8% pension contribution (5% employee contribution).
- 25 days annual leave, plus bank holidays.
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