Principal Data Engineer

Employment Ltd
Reading, UK
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Information Engineering Data Infrastructure Data Systems Python (Programming Language) DataOps SQL Databases Google Cloud Apache Spark Togaf SC Clearance
+1 more
Data Management

Job description

We are seeking a Principal Data Engineer to provide technical leadership in designing, implementing, and modernising enterprise-scale data platforms. This role is pivotal in shaping secure, scalable, and resilient data solutions that enable advanced analytics and data-driven decision-making across the organisation.Location: Reading (Hybrid - 2-3 days onsite) Clearance: Active or lapsed SC clearance required

Requirements

Key ResponsibilitiesLead the design and delivery of cloud-based data architectures and pipelines.Establish and enforce engineering standards, DataOps/DevOps practices, and automation frameworks.Drive adoption of modern cloud-native services (Azure, AWS, GCP).Ensure data quality, governance, lineage, and compliance.Mentor engineering teams and influence strategic technology decisions.What We’re Looking For7+ years’ experience in data engineering or enterprise-scale data platform development.Strong expertise in SQL, Python, Spark, and modern data frameworks.Proven experience with cloud platforms (Azure, AWS, GCP).Background in highly regulated industries (aerospace, defence, manufacturing) is desirable.Professional certifications (AWS, Azure, GCP, TOGAF, DAMA CDMP) advantageous.Why Join Us?Be at the forefront of data modernisation programmes.Influence strategic direction and deliver cutting-edge solutions.Work in a collaborative environment with strong stakeholder engagement.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.apply4u.co.uk

Good distractions

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

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · WWC 2024

1:19 min

Collecting essential system and environmental data automatically

Nishil Patel Nishil Patel · WWC 2025

Videos

See all

Related articles

See all