Data Engineer at PortSwigger Ltd

Knutsford, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, AWS, Redshift, Data Modeling, Data Pipelines, Data Governance, dbt, Cloud Data Warehousing, AI for Data Engineering, Data Observability, ETL/ELT

Industry

Software Development

Description

Who are PortSwigger PortSwigger exists to enable the world to secure the web. We build the tools practitioners trust, the knowledge that trains security professionals, and a community that makes anyone who cares about security better — so anyone can make the internet safer. Our products are crafted with care, backed by deep research, and we lead through generous innovation: winning by setting the bar higher and sharing what we create, turning commercial success into wider positive impact. Our culture didn't happen by accident — it was built deliberately, and it's something we protect with the same care we put into everything we make. We default to trust — brilliant people doing brilliant work, free from micromanagement. We aim for excellence, and we do it with care; performance and compassion go hand in hand. Joy, mastery and purpose belong together here — and if the work stops feeling good, we take that seriously. The Finance tribe keeps PortSwigger commercially healthy and future-fit. Beyond core accounting, compliance, planning and analysis, we're the guardians of commercial performance and the enablers of strategic investment — providing robust financial controls, accurate reporting and risk stewardship so the business can scale with confidence. We partner closely with Product, Growth and Technology to turn data into clear commercial insight: forecasting and scenario planning that surface opportunities, guide investment in product and people, and give leaders the information they need to make timely, high-quality decisions. What you'll be doing Design, build and maintain robust data pipelines and workflows. Develop and optimise data models within our cloud data warehouse environment. Improve data quality, governance, lineage and observability across the platform. Support the development of trusted, self-service analytics capabilities for business stakeholders. Partner with Finance, Technology and operational teams to understand requirements and translate them into scalable data solutions. Contribute to architectural decisions relating to data storage, modelling, orchestration and platform design. Implement security and governance best practices across the data ecosystem. Continuously improve platform reliability, performance and maintainability. Evaluate new technologies and approaches where they can create meaningful business value. Share knowledge and contribute to raising engineering standards across the team. RequirementsEssential 4+ years of professional experience in Data Engineering, Analytics Engineering or a closely related data engineering discipline. Strong SQL expertise with experience building and optimising complex transformations. Strong Python skills for data engineering and automation workloads. Experience working with cloud-based data platforms, ideally AWS. Experience with cloud data warehousing technologies such as Redshift or equivalent. Experience building and operating production-grade data pipelines. Experience using AI to enhance your Data Engineering workflows. Strong understanding of data modelling principles and best practices. Experience working with structured and semi-structured datasets. Understanding of data governance, data quality and security principles. Ability to communicate technical concepts clearly to technical and non-technical audiences. Desirable Experience with dbt or similar modern data transformation tooling. Experience contributing to data platform modernisation or migration initiatives. Experience implementing observability and data quality frameworks. Exposure to platform architecture and long-term technical decision making. Experience supporting AI, machine learning or advanced analytics workloads. Experience operating within high-growth technology businesses. At PortSwigger, we believe people should be paid what they're truly worth — not just what we could get away with or what the market dictates. That's why we pay above the market rate, and review it regularly. In our 2025 survey, 80% of Swiggers said they were satisfied or very satisfied with their reward — against a YouGov benchmark of 40% for knowledge workers. The philosophy works. Alongside a strong base salary, we offer share options and a comprehensive benefits package designed to support your whole-person wellbeing. Want to know more? Explore our reward philosophy.

Responsibilities

Design, build, and maintain robust data pipelines and optimized data models within a cloud data warehouse environment. Partner with Finance and Technology teams to translate business requirements into scalable data solutions and self-service analytics.