Senior Full-Stack Engineer Java & Python
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Added before 3 Days
- England,London,City of London
- Full Time, Permanent
- Competitive salary
Job Description:
Senior Full-Stack Engineer (Java & Python)
We are seeking a high-impact Senior Full-Stack Engineer to join a growing technology team for a leading investment house supporting market data services within a regulated, enterprise environment.
This role sits at the intersection of data engineering, full-stack development, and business engagement , working closely with stakeholders and external vendors to design and deliver robust, scalable technology solutions aligned to a strategic roadmap.
What you’ll do
* *Design, build, and maintain reliable, scalable data pipelines supporting complex analytical and sustainability data workloads.
*Ensure data quality, governance, and robustness through modern data engineering practices, automated validation, monitoring, and testing.
*Own and evolve data models and system integrations across multiple platforms and third-party services.
*Deliver data analysis, reporting, and visualisation to support business and technology objectives.
*Lead incident investigation and root-cause analysis for data-related issues, driving continuous improvement.
*Collaborate with enterprise data teams to contribute to data architecture and governance .
*Act as a bridge between technical and non-technical stakeholders , clearly communicating progress, risks, and requirements.
*Contribute to the future data roadmap , including the adoption of AI and emerging data technologies.
What we’re looking for
* *MUST have 5+ years’ experience in data or software engineering within financial services or a similar regulated industry.
*Strong full-stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases.
*Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar).
*Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines .
*Solid understanding of data governance, validation, and compliance .
*A strong advocate for automated testing, observability, and engineering best practice .
*Excellent communication skills and the ability to collaborate in agile, cross-functional teams .
Desirable
* *Experience with infrastructure as code (Terraform, Helm).
*Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK).
*Exposure to regulated environments and associated data controls.
We are seeking a high-impact Senior Full-Stack Engineer to join a growing technology team for a leading investment house supporting market data services within a regulated, enterprise environment.
This role sits at the intersection of data engineering, full-stack development, and business engagement , working closely with stakeholders and external vendors to design and deliver robust, scalable technology solutions aligned to a strategic roadmap.
What you’ll do
* *Design, build, and maintain reliable, scalable data pipelines supporting complex analytical and sustainability data workloads.
*Ensure data quality, governance, and robustness through modern data engineering practices, automated validation, monitoring, and testing.
*Own and evolve data models and system integrations across multiple platforms and third-party services.
*Deliver data analysis, reporting, and visualisation to support business and technology objectives.
*Lead incident investigation and root-cause analysis for data-related issues, driving continuous improvement.
*Collaborate with enterprise data teams to contribute to data architecture and governance .
*Act as a bridge between technical and non-technical stakeholders , clearly communicating progress, risks, and requirements.
*Contribute to the future data roadmap , including the adoption of AI and emerging data technologies.
What we’re looking for
* *MUST have 5+ years’ experience in data or software engineering within financial services or a similar regulated industry.
*Strong full-stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases.
*Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar).
*Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines .
*Solid understanding of data governance, validation, and compliance .
*A strong advocate for automated testing, observability, and engineering best practice .
*Excellent communication skills and the ability to collaborate in agile, cross-functional teams .
Desirable
* *Experience with infrastructure as code (Terraform, Helm).
*Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK).
*Exposure to regulated environments and associated data controls.
Job number 3455050
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