Senior Software Engineer II (Data & AI Platform) StepStone Group

Abundant Code

Greater London

Hybrid

GBP 90.000 - 140.000

Vollzeit

Vor 7 Tagen
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Benefits dieser Stelle

29 days holiday allowance + bankhols
Private medical and dental healthcare
Pension contribution up to 10%
24/7 Employee Assistance Programme
Life Assurance Cover
Cycle to work scheme
Hybrid working model
Volunteering days
Dog-friendly office

Zusammenfassung

StepStone Group is seeking a Senior Software Engineer II (Data & AI Platform) in London. You will lead and shape the Data Platform, driving architectural decisions across data, platform and infrastructure domains, while collaborating with Engineering Managers and Product Managers.

You’ll build scalable data capabilities to support analytics and AI, mentor engineers, and drive AI-assisted development in a hybrid London environment.

Qualifikationen

  • Proven expertise in data platforms and cloud-native architectures.
  • Experience shaping technical direction across teams and stakeholders.
  • Strong background in scalable data solutions and modern data ecosystems.

Aufgaben

  • Define and evolve the technical vision, roadmap and architecture of the Data Platform, driving decisions across data, platform and infrastructure domains
  • Establish engineering standards, best practices and reusable patterns while partnering with Enterprise Architecture and influencing technical direction
  • Drive engineering excellence by improving code quality, testing, observability, reliability and operational practices; support end-to-end delivery
  • Mentor engineers, grow senior technical capabilities and champion AI-assisted development and engineering automation

Kenntnisse

AWS
Terraform
Kafka
MSK
Airflow
Glue
Spark
Data platforms
Cloud-native architectures
Datadog
DBT

Tools

Datadog
DBT

Jobbeschreibung

Senior Software Engineer II (Data & AI Platform) Overview

Company Name StepStone Group

Job Role Senior Software Engineer II (Data & AI Platform)

Qualifications Not specified

Category I

Job Type Full Time

Location London, England, United Kingdom (Hybrid)

Pay & benefits
What you'll get

We’rea community here that cares as much about your life outside work as how you feel whenyou’rewith us. Because your jobshouldn’ttake over your life, it should enrich it. Here are some of the benefits we offer:

  • 29 days holiday allowance + bankholidays
  • Private medical and dentalhealthcare
  • Pension contribution up to 10%
  • 24/7 Employee AssistanceProgramme
  • Life Assurance Cover
  • Cycle to workscheme
  • Hybrid workingmodel
  • Volunteeringdays
  • andyou can bring your dog to the office!
The role

Join our team and you’ll be responsible for providing technical leadership for our Data Platform team, defining technical direction and driving architectural decisions across data, platform and infrastructure domains.

Working in the Data Platform department you will build scalable, reliable and well-governed data platform capabilities that support analytics, AI and business-critical products, while collaborating closely with Engineering Managers, Product Managers and Enterprise Architects.

This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody.

What you'll do
  • Define and evolve the technical vision, roadmap and architecture of the Data Platform, driving decisions across data, platform and infrastructure domains
  • Establish engineering standards, best practices and reusable patterns while partnering with Enterprise Architecture and influencing technical direction
  • Drive engineering excellence by improving code quality, testing, observability, reliability and operational practicesSupport end-to-end delivery by guiding teams through complex technical challenges, improving decision-making, and contributing to planning and risk management
  • Mentor engineers, grow senior technical capabilities and champion AI-assisted development and engineering automation
Your skills and qualifications
  • Proven experience as a Senior Software Engineer or Senior Data Engineeror in an equivalent senior individual contributor role
  • Strong background in data platforms, distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders
  • Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions
  • Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing
  • Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus

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