About The Stepstone Group
At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. Join our team of 3,000+ employees and be part of reshaping the labour market and becoming the world's leading job platform.
Responsibilities
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.
•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 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
Requirements
•Proven experience as a Senior Software Engineer or Senior Data Engineer or 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
Benefits
We're a community here that cares as much about your life outside work as how you feel when you're with us. Because your job shouldn't take over your life, it should enrich it. Here are some of the benefits we offer:
•29 days holiday allowance + bank holidays
•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 and you can bring your dog to the office!
