SC Cleared Data Engineer

Hexegic
Poole, UK
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£75,330.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Information Engineering Data Integration Data Retrieval Python (Programming Language) Commercial Software Software Engineering Data Pipelines

Job description

We are looking to grow our data engineering team with a skilled and innovative data engineer. This role is essential for helping our customer build and maintain data pipelines and applications using proprietary commercial software, ensuring data driven projects can be rapidly prototyped and delivered in line with customer needs.

Core Responsibilities:

· Developing front-end/user-facing application development.

· Data pipeline building for the creation of simple/bespoke data pipelines.

· Design, develop and maintain bespoke end-to-end data project.

· Liaise closely with data scientists, analysts, product owners and other engineers.

· Ensure seamless data integration and software functionality.

Requirements

· Strong python proficiency, or familiarity in a similar language.

· API awareness for data retrieval and integration into processing pipelines.

· Experience of stakeholder management and requirements capture.

· Understanding of pipelines scheduling, health checks and identifying potential mechanisms of failure to ensure digital continuity.

About the company

Hexegic are a tech consultancy specializing across software, data, cyber and IT. We support high performing businesses and government customers to empower them to safely and effectively achieve their objectives through deep technical expertise and the ability to think differently about problems.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

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Jörg Neumann Jörg Neumann · World Congress 2025

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Defining data fabric for modern data integration

Andreas Christian · LIVE

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Balancing data science skillings alongside systems engineering rigor

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Customizing data retrieval logic using custom state providers

Vincent Amstoutz Vincent Amstoutz · Europe 2026 Virtual

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Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

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