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Senior Data Engineer

Burns Sheehan

RemoteHemel Hempstead, England, United KingdomGBP 70kโ€“85kseniorFull-time
Posted
today
Source
LinkedIn (remote, Europe)
Field
Engineering, Data & Analytics

Skills

CommunicationLeadershipAnalyticsSnowflakePythonSQLAWSdbtAI

Description

๐Ÿš€ Mid/Senior Data Engineer | AWS, Snowflake, dbt ๐Ÿ’ฐ ยฃ70,000 - ยฃ85,000 ๐Ÿ“ Hemel Hempstead | Hybrid, 3 days per week onsite (flexibility available) ๐Ÿ› ๏ธ AWS | Snowflake | dbt | SQL | Python Here at Burns Sheehan, we're partnering with a highly reputable, PE-backed business that is investing in its data platform and looking to hire an experienced Data Engineer to join a small, highly capable team. The business has already built a strong modern data foundation, with Snowflake at its core, AI-assisted development embedded into its workflows, and a growing suite of internal data applications supporting key business functions. With exciting projects ahead spanning predictive forecasting, dynamic pricing, workforce optimisation and customer analytics, this is a great opportunity for an engineer who wants genuine ownership and the chance to influence technical decisions. ๐Ÿ”Ž What You'll Be Doing: - Designing, building and optimising robust data pipelines across AWS and Snowflake. - Developing reliable, well-tested data models with a strong focus on accuracy, reconciliation and governance. - Taking ownership of engineering solutions, from initial design through to delivery. - Working closely with business stakeholders, challenging requirements and proposing better technical solutions. - Contributing to architectural decisions and presenting technical trade-offs to senior leadership. - Exploring AI-assisted development and emerging Snowflake capabilities, including Cortex. ๐Ÿ’ก What We're Looking For: - Strong commercial experience with AWS, Snowflake, dbt, SQL and Python. - Proven experience building and maintaining production-grade data pipelines. - Strong understanding of data quality, testing and reconciliation. - Ability to work independently and take ownership in a lean engineering environment. - Confident stakeholder communication and a pragmatic, problem-solving mindset. - An interest in AI-assisted engineering and modern data tooling. This is an opportunity to join a business where you'll have a real say in how the data platform evolves, working on projects directly linked to commercial performance rather than simply maintaining existing pipelines. ๐Ÿ“ฉ Interested? Apply now or drop me a message to find out more. Applicants must already have the right to work in the UK. Visa sponsorship is not available.

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