Logo-of-Black-Duck-Software-hiring-for-jobs-in-UK-on-GrabJobs

Principal Data Engineer

icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

Click to reveal the number of candidates who applied for this job.
icon loader
Apply Now
icon loader Apply Now

Let AI Supercharge Your Job Hunt!

JobCopilot scans 500,000+ company career sites daily to find jobs for you

Never miss an opportunity Save hours by auto-filling applications forms Land more interviews with tailored applications
happy man
thunder iconActivate JobCopilot

Job Description - Principal Data Engineer

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

What you’ll do



  • Lead the design and build-out of cross-product data services for multiple product lines from one governed data plane.

  • Define the “customer data plane” model: canonical customer identifiers, shared dimensions, and consistent facts used across products.

  • Build and operationalize ingestion patterns for batch, streaming, and event data, with repeatable onboarding for new sources.

  • Own the operational playbook for data reliability: data contracts, quality checks, lineage, monitoring, and incident response.

  • Implement and run access methods that make data usable: curated datasets, secure query interfaces, and product-ready data APIs where needed.

  • Productize customer-facing data products (datasets, metrics, exports, and feeds) with versioning, documentation, and clear ownership.

  • Design data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning.

  • Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions for decision-making.

  • Enable AI automation by delivering reliable, low-latency, governed data products that can be used safely in automated workflows.

  • Partner closely with product, engineering, and security stakeholders to align data products to roadmap priorities and customer outcomes.

  • Raise the technical bar through architecture reviews, standards, and mentoring—while staying hands-on in key systems.


Required



  • Significant experience building and operating production data platforms at scale, including on-call and operational ownership.

  • Strong SQL skills and strong Python skills, used to build pipelines, services, and automation.

  • Hands-on experience running cloud systems on AWS and Google Cloud (IaaS level: compute, storage, networking, IAM).

  • Practical experience with both operational databases (RDS-style) and analytics stores (columnar/OLAP), including performance tuning.

  • Strong data modeling ability, including schema evolution, conformed dimensions, and “one source of truth” metric definitions.

  • Track record of delivering data products that other teams or customers depend on, with clear contracts and reliability expectations.

  • Ability to make sound engineering tradeoffs across latency, accuracy, cost, and security without creating brittle complexity.

  • Experience with lakehouse patterns and open table formats (or similar), including governance and table maintenance.

  • Experience with orchestration and streaming systems used in production (batch + real-time), and managing backfills safely.

  • Familiarity with ML data needs (training/serving splits, feature-ready datasets, evaluation datasets) and AI-adjacent workflows.


Preferred



  • Experience building self-service data platforms (catalog, discoverability, access controls) used by multiple teams.

  • Experience in regulated or security-sensitive environments, including retention, auditing, and data access controls.


Work model, location & travel



  • Location: Belfast, UK

  • Reports to: VP of Data Engineering

  • Work model: Hybrid (details TBD)

  • Collaboration hours: Flexible; overlap with UK and US time zones

  • Travel: Minimal


 

Black Duck considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law. In addition, Black Duck complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it maintains facilities. Black Duck also provides reasonable accommodation to individuals with a disability in accordance with applicable laws.

Original job Principal Data Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
Apply Now
Share Job
Share Job

About the Company

Black Duck Software

Build high-quality, secure software with application security testing tools and services from Black Duck. We are a Gartner Magic Quadrant Leader in AppSec.

Read more about the company

Auto-Apply to Data Engineer Jobs with your AI JobCopilot

thunder icon Auto-Apply with AI

Similar Data Engineer Jobs in the UK

GrabJobs is the no1 job portal in the UK, connecting you to thousands of jobs fast! Find the best jobs in the UK, apply in 1 click and get a job today!

Mobile Apps

Copyright © 2026 Grabjobs Pte.Ltd. All Rights Reserved.