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Senior Data Engineer (Start-up / FinTech)

Hyre AI is seeking a seasoned data engineer to join a 'tech for good' early-stage fintech at a crucial stage of their growth. If you're passionate about autonomy, making a significant impact, and contributing to a safer world for consumers, this role is for you.

The successful candidate will play a pivotal role in shaping our client's data infrastructure, developing their product, and serving as a cornerstone of the engineering team. We're looking for a resourceful senior data engineer who can drive initiatives, bring fresh ideas daily, and collaborate with a super talented team to achieve our client's mission of eradicating scams.

Skills & Experience You'll Need:

* Experience: Ideally, you've honed your skills over 5+ years, working on strategic, hands-on projects and managing your workload independently.

* Programming Languages: Proficiency in programming languages such as Python, SQL, or Scala.

* Tools: Familiarity with tools like Spark and workflow engines like Airflow, Dagster, or Temporal is a plus.

* Cloud: Good experience with cloud platforms (e.g. AWS, GCP), containerisation (e.g. Docker, Kubernetes), and infrastructure as code (e.g. Terraform).

* Data Architecture: Strong understanding of data architectures, data modelling, and designing scalable, fault-tolerant data pipelines, as well as experience with data lakes and warehouses.

* Data Governance: Proven experience working in sensitive data contexts with a solid understanding of data governance practices, privacy concerns, and regulations (e.g., GDPR).

* Problem-Solving: A passion for tackling complex data challenges, adept at navigating data quality issues, anticipating failures, and effectively identifying root causes.

* Adaptability: Willingness to take on new challenges, quickly pick up new tools and technologies, and possibly bring experience from adjacent disciplines like software engineering or infrastructure.

* Industry: Prior experience in fintech or banking is a plus, but experience building large-scale systems in any sensitive data context is a great start.

What You’ll Be Doing:

* Building scalable, robust, and well-tested data infrastructure and processing pipelines that integrates with customers’ systems to combat fraud effectively.

* Designing and implementing elegant, intuitive, production-grade, transparent data products that drive impact for the business and our customers.

* Contributing to shaping technical and cultural foundations—setting standards, selecting tools, reviewing code, and promoting collaboration.

* Owning data products, monitoring their performance, ensuring ongoing quality, and building robust upgrade processes, all while championing data governance best practices and ensuring sensitive data is handled with utmost care.

* Establishing and maintaining automated testing and CI/CD pipelines to ensure high-quality, seamless deployments.

Location & Salary:

This role is based in Farringdon, London, with an expectation of 3+ days per week on-site. We offer a highly competitive salary, complemented by a generous equity package. Visa sponsorship is available for exceptional candidates