Data Engineer

ParleyX; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A fast-growing fintech company is seeking a Data Engineer to support its evolving data infrastructure. This role involves designing and deploying data pipelines, collaborating across teams, and utilizing cloud technologies. Ideal candidates will have strong skills in Python and SQL, along with experience in cloud environments like Google Cloud. The position offers a hybrid working model and a comprehensive benefits package.

Benefits

Competitive salary

25 days annual leave plus public holidays

Enhanced pension with company match

Private health insurance

Learning & development budget

Cycle-to-work scheme

Paid sick leave

Qualifications

• Proven experience writing and maintaining data pipelines in production.
• Strong coding skills in Python and SQL, with attention to testing and maintainability.
• Experience deploying data-centric applications in cloud environments.

Responsibilities

• Design, build, and deploy data pipelines using Python and SQL.
• Orchestrate pipelines in Dagster and deploy jobs into a Kubernetes cluster.
• Model clean, reliable datasets within BigQuery.

Skills

Python programming

SQL proficiency

Data pipeline construction

Cloud deployment

Data quality assurance

Tools

Google Cloud

BigQuery

Kubernetes

Terraform

Job description

ABOUT THE COMPANY

A fast-growing fintech company is hiring a Data Engineer to support the next phase of its product and data infrastructure evolution. The company is on a mission to make investing simple, accessible, and cost-effective - removing long-standing barriers and enabling millions of individuals to grow their wealth with confidence. In early 2025, it announced a strategic acquisition by a leading global investment group. The business remains independent, while gaining access to scale, resources, and market reach.

ABOUT THE ROLE

The Data Engineer will join a growing data team focused on transforming high-volume data into trusted insights, tooling, and infrastructure. This role involves hands-on pipeline development, cloud deployment, and collaboration across product and engineering. You\'ll work in a modern data stack, help scale internal analytics capabilities, and shape the data foundations of a next-gen investment platform.

KEY RESPONSIBILITIES

• Design, build, and deploy data pipelines using Python and SQL
• Orchestrate pipelines in Dagster and deploy jobs into a Kubernetes cluster
• Model clean, reliable datasets within BigQuery
• Improve data quality and monitoring through alerting and automated testing
• Deploy data infrastructure via Terraform and maintain CICD pipelines
• Enhance operational efficiency and reliability of the data platform
• Collaborate with product and engineering stakeholders to define best practices and deliver data-driven solutions

REQUIREMENTS

• Proven experience writing and maintaining data pipelines in production
• Strong coding skills in Python and SQL, with attention to testing and maintainability
• Experience deploying data-centric applications in cloud environments (Google Cloud preferred)
• Familiarity with a range of data sources including relational DBs, NoSQL, APIs, and cloud storage
• Understanding of data security, privacy, and protection principles
• Comfortable owning regular processing jobs and responding to data issues

WORKING MODEL

• Hybrid model: 3 days in the London office (Monday, Tuesday, Thursday), 2 days remote
• Designed for deep in-person collaboration with flexibility for personal circumstances
• Supportive of parents and those with caregiving responsibilities

BENEFITS & CULTURE

• Competitive salary with structured benchmarking
• 25 days annual leave plus UK public holidays, birthday off, and tenure-based bonus days
• Enhanced pension with up to 5% company match
• Private health insurance including mental health, dental, and vision care
• Group life insurance at 5x salary and income protection cover
• Enhanced parental leave for all caregiver types
• Learning & development budget including sponsorship for industry qualifications
• Cycle-to-work scheme with tax savings
• Paid sick leave (10 days annually)
• Values-led culture built on honesty, focus, and grit-expect these to guide your interview process

If you\'re a data engineer looking to build at scale, collaborate with smart cross-functional teams, and shape data infrastructure at a growing fintech, this opportunity offers both impact and career growth.