About the Client
Our client is a long-established, service-focused business delivering intelligent, data-driven solutions that help organisations increase efficiency, reduce operational risk, and streamline complex logistical processes. With a strong reputation for reliability and innovation, they serve a diverse portfolio of national and regional clients, many of whom rely on their services as a critical part of day-to-day operations.
They pride themselves on combining technology with exceptional service delivery, offering bespoke solutions tailored to the evolving needs of their customers. The organisation continues to invest in digital transformation and strategic partnerships to remain at the forefront of operational excellence. Known for a collaborative and pragmatic culture, they value long-term relationships and continuous improvement.
How youll spend your day
Youll play a key role in building, maintaining, and optimising data pipelines and transformation workflows.
Your focus will be on ensuring data integrity, reliability, and performance across the organisations cloud-based analytics environment.
Develop and maintain automated data ingestion pipelines using Fivetran.
Implement and manage dbt models for scalable data transformations.
Monitor and optimise Snowflake performance and costs.
Ensure version control and CI/CD best practices for dbt projects.
Set up orchestration and monitor pipeline health.
Troubleshoot and resolve issues to maintain smooth data operations.
Collaborate with BI Analysts and Data Stewards to deliver trusted, compliant datasets.
Support business teams with data availability and workflow optimisation.
What youll bring to this role
Were looking for a technically strong Data Engineer with a proactive, problem-solving approach and solid experience in modern data tools and practices.
Proven experience with SQL and Snowflake performance tuning.
Hands-on expertise with Fivetran and dbt.
Good understanding of data modelling, governance, and security best practices.
Familiarity with orchestration tools such as Airflow or Prefect (advantageous).
Experience working in Azure (or AWS/GCP).
Strong analytical and collaboration skills, with great attention to detail.
A degree in Computer Science, Data Engineering, or relevant experience.
Perks & Benefits:
2 x basic annual salary Death in service
8% pension(5% employee)
25 days holiday plus bank holidays
What happens next?
One of our Recruitment Consultants will be in touch and inform you if youve been successful to the next stage of the process or not, which is a qualification call where we will tell you more about the role and the client, and understand more about you, your experience and career aspirations.
Should we both wish to proceed, we will submit your details to the client and be in touch regarding the outcome and any further steps.
The interview process for this client consists of:
Stage 1 Remote Technical Discussion
Stage 2 Remote Competency and Culture Interviewwith the CTO
Equal Opportunities
We are committed to providing equal opportunities for all candidates and welcome applications from individuals regardless of age, disability, gender identity, marital status, race, religion or belief, sexual orientation, or any other characteristic protected by law. As an employment agency for permanent and contract hires, we are dedicated to promoting a diverse and inclusive workforce, and we encourage applications from underrepresented groups to drive innovation and equality within the workplace.
Should you require any reasonable adjustments please let us know so we can accommodate for any interactions with us at Biometric Talent, but also inform the client to ensure reasonable adjustments are made to allow for a fair and equitable process.
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