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Principal data engineer

Bristol (City of Bristol)
Permanent
INOVERSE GROUPE
Data engineer
€100,000 a year
Posted: 17 December
Offer description

Principal Data Engineer role at INOVERSE GROUPE

Bristol - Mostly from home with the requirement to be in Edinburgh a couple of times a month

Permanent

£100,000 plus benefits such as 20% pension, 40 days holiday, private healthcare, share scheme and much more

iO Associates are working with an established reputable Private Investment company are on the lookout for an experienced Data Engineer to join them on a permanent basis.

As the Principal Data Engineer, you will play a pivotal role in architecting scalable data solutions, driving engineering best practices, and collaborating across multi-disciplinary teams to deliver impactful insights. You will be responsible for guiding the technical direction of the team, ensuring data quality and governance, and influencing the broader data strategy.


To Be Successful, You Will Have

* Proven experience leading data engineering initiatives and teams in complex, data-rich environments
* Deep expertise in the Microsoft Azure Stack and modern data architecture patterns
* Experience with data & analytics platforms (e.g. MS Fabric)
* Strong proficiency in SQL, Python, and data orchestration tools (e.g. Azure Data Factory)
* Experience with data visualisation tools, ideally Power BI, and delivering data models that support self-service analytics.

They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported by everyone around you. You'll be encouraged to grow at every career stage in the direction that interests you with amazing support and training plus a tailored career progression plan.

The goal for this position is to progress into a Head of role and lead/manage the team alongside the Head of Engineering.

Please apply using the link or get in touch on 0117 332 8100 or email me on r.long@ioassociates.co.uk


Seniority level

Mid-Senior level


Employment type

Full-time


Job function

Information Technology


Industries

Data Infrastructure and Analytics

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