Senior Data Engineer

Harnham

Trowbridge, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Artificial Intelligence Data Analysis Microsoft Azure Cyber Security Information Engineering Data Infrastructure Extract Transform Load (ETL) DevOps File Transfer SAP (Applications) SQL Databases SQL Server Integration Services

+7 more

Tableau (Software) Enterprise Software Applications Delivery Pipeline Microsoft Business Central Data Analytics Dynamic Data Databricks

Job description

You’ll be part of a collaborative, forward-thinking Data & Analytics team, responsible for ensuring data is clean, secure, and optimized for advanced analytics, business intelligence, and AI initiatives. This is a hands-on leadership role with the opportunity to manage a data engineering apprentice and own key strategic projects, including a full cloud migration., * Manage and enhance cloud-based data infrastructure (Azure) across multiple international markets

Own the development and performance of ETL pipelines, ensuring integrity and consistency
Lead the migration of legacy environments into Azure Cloud
Maintain and synchronize Dev, Test, and Production environments using DevOps principles
Drive improvements in data quality, access controls, and security compliance
Support analytics, BI, and predictive modelling teams with infrastructure and documentation
Monitor and troubleshoot production issues, implementing preventative solutions
Mentor a junior data engineer and serve as a technical lead for data tooling and governance

Requirements

A technically strong, solution-oriented Data Engineer who thrives in a dynamic, collaborative environment, bringing both strategic insight and deep technical delivery capability., * 5+ years’ experience in SQL-based production environments (DBA/Data Engineering)

Strong SQL/T-SQL skills for dynamic data warehouse processes
Expertise in Azure, SSIS, and Databricks
Solid understanding of data modelling, integration, and transformation
Experience managing CI/CD pipelines and DevOps workflows
Strong communication skills and a problem-solving mindset, * Experience working with large, multi-source datasets via APIs and secure file transfer
Familiarity with tools like Tableau and enterprise systems (e.g., SAP, MS Business Central)
Understanding of information security and governance
Proven experience bridging the gap between IT, data, and business teams, * A key leadership opportunity within a growing data function
The chance to shape long-term cloud and data infrastructure strategy
Projects spanning data engineering, BI, and AI/predictive analytics
Exposure to international operations and collaborative cross-functional teams