Senior Data Engineer

Talenthawk Limited

Swindon, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£75,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Amazon Web Services Microsoft Azure Information Engineering Data Governance Data Integration Data Integrity Extract Transform Load (ETL) Data Security Data Vault Modeling Data Warehousing Software Design Patterns Meta-Data Management

+15 more

Netsuite Power BI Software Tools Cloud Services Salesforce.Com SQL Databases Web Platforms Enterprise Data Management System Availability Snowflake Core Data Information Technology Data Lineage AWS Data Analytics Data Pipelines

Job description

We are seeking a Lead Data Engineer to design, build, and maintain the integrity of our core data platform. You will serve as the technical authority for data engineering, ensuring our organisation has a secure, trusted foundation for reporting, analytics, and strategic insight.

As a player-coach, you will lead the BI team, driving data-enabled decision-making while ensuring our architecture is scalable, compliant, and aligned with business objectives., * Architecture & Implementation: Own the Data Warehouse lifecycle, ensuring high availability, security, and scalability.

Data Integration: Build and maintain robust pipelines to ingest and transform data from diverse systems (Salesforce, NetSuite, and digital platforms).
Team Leadership: Manage and mentor the BI team, providing technical direction and fostering a high-performance culture.
Data Governance & Security: Implement validation practices, metadata management, and data lineage to ensure GDPR compliance and data integrity.
Stakeholder Collaboration: Act as a bridge between technical teams and business leaders to translate reporting needs into actionable technical solutions.
Strategic Input: Evaluate new technologies and provide expert advice on programs requiring integrated data and analytics.

Requirements

Proven experience leading data engineering or BI teams within complex environments.
Hands-on expertise in designing and implementing Enterprise Data Warehouses.
Track record of building secure data pipelines across multiple source systems.
A degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
Relevant certifications (e.g., Azure/AWS Data Engineer, Snowflake) are highly desirable.

Technical Knowledge

Methodologies: Strong grasp of Data Vault, Kimball, or equivalent design patterns.
Tools: Expert-level SQL, ETL/ELT pipeline development, and modern engineering tools.
Platforms: Proficiency with cloud-based services (Azure, AWS, or GCP) and Power BI.
Compliance: Deep understanding of data security, GDPR, and governance frameworks.

Core Competencies

Exceptional leadership and mentoring capabilities.
Ability to balance long-term architectural health with pragmatic, timely delivery.
Strong communication skills, capable of engaging both technical and non-technical stakeholders.