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Black Duck Software, Inc.

Principal Data Engineer

Belfast, UK
Posted 3 months ago
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Principal Data Engineer

Black Duck Software, Inc.

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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.

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Skills

Data Engineering
SQL
Python
AWS
Google Cloud
Data Modeling
Data Pipelines
Data Reliability
Cloud Infrastructure
OLAP
Data Governance
Machine Learning
Streaming Systems
API Development
Architecture Review
Mentoring

Location

Belfast, Northern Ireland, United Kingdom

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