Data Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (Fintech): Building and modernizing a scalable data platform for global investment intelligence with an accent on reusable pipeline frameworks, data modeling, and automation. Focus on integrating Databricks/Spark, Snowflake, and exploring agentic AI workflows to enhance platform operations and data quality.
Location: London, England
Company
provides enterprise data management solutions to the global investment community, powering over US$75 trillion in assets under management.
What you will do
- Modernize the existing data platform and pipelines using Snowflake and Databricks.
- Build reusable tooling and frameworks to automate financial data ingestion and quality assurance.
- Design and implement scalable data models to support diverse business use cases.
- Collaborate with cross-functional teams to ensure solutions meet technical and business requirements.
- Prototype agentic AI workflows to automate pipeline monitoring and adaptation.
- Optimize operational efficiency to reduce manual intervention and support costs.
Requirements
- 3–5 years of hands-on experience in data engineering.
- Strong proficiency in Python and advanced SQL.
- Mandatory experience with Databricks and Apache Spark for large-scale processing.
- Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift.
- Practical knowledge of cloud infrastructure (AWS, Azure, or GCP) and CI/CD pipelines.
- Experience using AI coding tools like GitHub Copilot or Claude in daily workflows.
Nice to have
- Experience with agentic AI frameworks like LangChain or LlamaIndex.
- Knowledge of streaming data processing (Kafka, Kinesis, or Flink).
- Exposure to financial data types such as pricing, benchmarks, and corporate actions.
- Familiarity with metadata catalogs and data contract patterns.
Culture & Benefits
- Comprehensive health benefits including virtual GP service and cashback plans.
- Group Income Protection and Death in Service funds.
- Gym membership discounts and travel insurance.
- Annual purchase holiday scheme.
- Commitment to diversity, inclusion, and professional development.
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