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BlackRock

Lead Developer - Vice President

Edinburgh
Posted 3 days ago
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About this role Data Engineer – AWS Native Data Platforms

About the Role

We are looking for a Data Engineer to join BlackRock’s Technology & Operations organization, supporting the design, build, and operation of our Cloud-native data platform that power critical technology, security, and operational use cases across the firm. This role sits within a team responsible for building reliable, secure, and observable data pipelines in a highly regulated environment.

You will work closely with technology, operations, and information security partners to deliver data products that enable transparency, automation, and risk-informed decision making at scale.

The ideal candidate is an engineer at heart—comfortable working end-to-end across ingestion, transformation, orchestration, and governance—who values clean design, strong documentation, and operational excellence.

What You’ll Do

  • Design, build, and maintain AWS-native data pipelines for batch and event-driven workloads, with a focus on reliability, scalability, and security.
  • Develop and operate data workflows using Directed acyclic graph-based workflow orchestration framework for data and batch processing for orchestration and Python and SQL for transformation and data quality logic.
  • Implement data transformations and models using modern analytics engineering practices (e.g., dbt-style patterns, tested transformations, incremental processing).
  • Integrate data from a variety of enterprise sources, including cloud services, internal platforms, APIs, and security/operational telemetry.
  • Partner with Information Security, Risk, and Operations teams to translate business and control requirements into durable data solutions.
  • Embed data quality, lineage, and observability into pipelines using testing frameworks and monitoring standards.
  • Operate within BlackRock’s cloud security and governance standards, including IAM, encryption, logging, and secrets management.
  • Contribute to CI/CD pipelines, infrastructure-as-code patterns, and standardized platform tooling.
  • Document data products, pipelines, and operating procedures to support transparency and long-term maintainability.
  • Participate in design reviews, code reviews, and incident/post-incident analysis to continuously improve platform resilience.

Core Technologies You’ll Work With

  • AWS: S3, IAM, Glue, Lambda, Step Functions, CloudWatch, Secrets Manager, OpenSearch, and related native services
  • Orchestration: Directed acyclic graph-based workflow orchestration framework for data and batch processing
  • Languages: Python, SQL
  • Data Modeling & Transformation: Analytics-engineering patterns (e.g., dbt-like workflows)
  • Data Quality & Testing: Schema and data validation frameworks (e.g., Great Expectations-style approaches)
  • Infrastructure & Delivery: CI/CD, Git-based workflows, infrastructure-as-code (Terraform or equivalent)
  • Security & Governance: Encryption, access controls, audit logging, platform security baselines

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?

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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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What We’re Looking For

  • 7 years+ relevant experience as a Data Engineer, Analytics Engineer, or similar role building production data pipelines.
  • Strong hands-on experience with AWS-native data services in a regulated or enterprise environment.
  • Proficiency in Python and SQL, with an emphasis on readable, testable, and maintainable code.
  • Experience with workflow orchestration (Directed acyclic graph-based workflow orchestration framework for data and batch processing or equivalent).
  • Solid understanding of data modeling, incremental processing, and performance optimization.
  • Familiarity with data quality, monitoring, and operational support for production data systems.
  • Experience collaborating with cross-functional partners (e.g., security, operations, product, or risk teams).
  • A disciplined approach to documentation, change management, and incident response.

Nice to Have

  • Experience supporting security, risk, or compliance data domains.
  • Exposure to OpenSearch / Elasticsearch, metrics pipelines, or log-analytics platforms.
  • Familiarity with cloud security controls, IAM design, and secrets management.
  • Experience building data platforms that support executive-level reporting or regulatory oversight.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.

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We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation.

As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment.

To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

BlackRock's purpose is to help more and more people experience financial well-being. As a global investment manager and a leading provider of financial technology, our clients—from grandparents, doctors, and teachers to large institutions—turn to us for the solutions they need when planning for their most important goals.

People join our firm from around the world to gain real-world experience while making an impact. Discover how you can have a career at BlackRock that's exciting, rewarding and full of possibilities.

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Skills

AWS
Python
SQL
Data Pipeline Design
Workflow Orchestration
Data Modeling
CI/CD
Terraform
Infrastructure as Code
Data Quality Testing
Analytics Engineering
Cloud Security

Location

Edinburgh, Scotland, United Kingdom

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