Data Engineer - Outside IR35 (Scotland)

JobCubby

Scotland

On-site

GBP 88,000 - 101,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Gigged AI in Scotland is seeking an experienced Data Engineer to join a cloud-based data platform. You will design, build and optimise data pipelines, focusing on provisioning, modelling and performance while ensuring data access and security are maintained.

The position is hybrid with occasional onsite presence in Scotland and an estimated 3–6 month duration, outside IR35, offering a competitive daily rate.

Qualifications

Degree qualified in a STEM discipline or equivalent.
Strong proficiency in Python or another modern language.
Solid SQL skills for data querying and analysis.
Experience designing, developing and deploying data pipelines.
Experience with cloud platforms (Azure/AWS/GCP).
Experience with version control tooling.
Strong stakeholder management abilities.

Responsibilities

Design, build and maintain data pipelines into the client’s cloud data platform.
Advance data provisioning, modelling and performance capabilities.
Produce and maintain architecture and systems documentation.
Collaborate with business and IT teams to scope data needs and deliver solutions.
Provide ongoing monitoring and troubleshooting for the data platform.
Share expertise and best practices across the team.

Skills

Python

SQL

Data pipelines

Cloud platforms

Version control

Root-cause analysis

Stakeholder management

Education

STEM degree

Tools

Azure

AWS

GCP

Git

Job description

Data Engineer

Gigged AI is an On demand talent marketplace specialising in the IT and technology sector. We have an opportunity live at the moment for a Data Engineer - Outside IR35 his is a Hybrid role in Scotland, flexible on onsite presence.

Location: Scotland, occasional onsite presence

Duration: Estimated 3-6 months, TBC

IR35: Outside

Overview

Our client operates a cloud-based data platform that brings together trusted business information from a range of internal systems and applications. As the platform's capabilities continue to expand, they are looking for an experienced Data Engineer to build the next generation of data pipelines, covering data provisioning, modelling, performance tuning and optimisation. The role sits between IT development and business end-users, ensuring core datasets remain available, accurate and accessible, while also working with data and system owners to define access, security and data management processes. The ideal candidate can take a data requirement end-to-end: examining a source data structure and building the extraction, storage and pipeline work needed to deliver it.

Key Responsibilities

Design, build and maintain data pipelines from internal databases and SaaS applications into the client's cloud data platform
Continuously develop and enhance the platform's data provisioning, modelling and performance capabilities
Produce and maintain clear architecture and systems documentation
Partner with business functions and other IT teams to scope data needs and deliver solutions
Provide ongoing technical support, monitoring and troubleshooting for the data platform
Act as a technical point of reference, sharing expertise and best practice across the team

Required Skills

Degree qualified in a STEM discipline (or equivalent professional experience)
Strong proficiency in a modern programming language (Python, Java, JavaScript, Scala, etc.)
Strong SQL skills for querying and analysing structured data stores
Proven experience designing, developing and deploying data pipelines
Experience with a modern public cloud data platform (Azure, AWS or GCP)
Experience with version control tooling
Experience performing root-cause analysis of production incidents and debugging code defects
Strong interpersonal and stakeholder-management skills

Desirable Skills