PortSwigger
Information Technology and Services
SeniorDataEngineer
“Senior Data Engineer at PortSwigger. Skills: Data Engineering, Cloud-native data platforms, SQL, Python. Designing scalable cloud-native data infrastructure. Building scalable cloud-native data infrastructure”
What You'll Achieve.
enable high-quality decision making; support trusted analytics; support operational excellence; support long-term scalability; directly influence business decision making; establish long-term foundations for analytics; establish long-term foundations for intelligence capabilities
Industry & Context.
pragmatic problem-solving capability; solving complex systems problems
What They're Looking For.
Must Have
professional experience in Data Engineering roles, Advanced SQL, Advanced Python capability, Experience building and scaling cloud-native data platforms, experience with AWS, experience with modern warehousing technologies, experience with Redshift, Experience with modern transformation tooling, experience with dbt, understanding of data modelling, understanding of data governance, understanding of semantic layer design, Experience building reliable data pipelines, Experience building maintainable data pipelines, Experience building orchestration frameworks, engineering judgement, pragmatic problem-solving capability, Ability to balance long-term architectural thinking, Ability to balance iterative delivery, communication skills with technical audiences, communication skills with non-technical audiences, Comfort operating in ambiguity, solving complex systems problems, Collaborative mindset, ownership, accountability
Nice to Have
Experience leveraging agentic AI or AI-assisted tooling within data engineering, Experience leveraging agentic AI or AI-assisted tooling within analytics, Experience leveraging agentic AI or AI-assisted tooling within operational workflows
What You'll Do.
Designing scalable cloud-native data infrastructure
Building scalable cloud-native data infrastructure
Developing reliable ingestion pipelines
Developing transformation pipelines
Developing orchestration pipelines
Creating semantic models
Creating governed data structures
Improving data quality
Improving data observability
Improving data lineage
Improving governance practices
Partnering with engineering stakeholders
Partnering with business stakeholders
define scalable data solutions
Supporting self-serve analytics
Supporting AI-enabled decision making
Contributing to architectural decisions
Contributing to long-term platform strategy
Identifying opportunities to simplify systems
Identifying opportunities to improve operational efficiency
Ensuring security across data platform
Ensuring reliability across data platform
Ensuring maintainability across data platform
Helping establish high standards
Helping establish data craftsmanship
How You'll Work.
Team & Collaboration
work closely with stakeholders; Partnering with engineering stakeholders; Partnering with business stakeholders; Collaborative mindset
Communication Scope
communication skills with both technical and non-technical audiences
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