Attribution Search is partnered with a leading global trading firm looking to hire a Senior Data Engineer into its centralised Data Platform team.
This is an exciting opportunity to join a highly technical environment responsible for building and operating large-scale data infrastructure supporting traders, quantitative researchers, and business teams across the firm. The role sits within a modern data engineering function focused on distributed systems, data platform architecture, vendor data onboarding, and large-scale production pipelines.
Responsibilities
- Designing, building, and managing scalable data products and ingestion pipelines
- Supporting both batch and real-time streaming data ecosystems
- Working closely with traders, quantitative researchers, and stakeholders to onboard and manage new datasets
- Developing and maintaining production‑grade data transformations and ETL workflows
- Designing data governance, quality control, monitoring, and access management processes
- Managing vendor ingestion pipelines and supporting operational reliability across production systems
- Contributing to platform migrations, orchestration improvements, and large‑scale data infrastructure initiatives
- Supporting monitoring, troubleshooting, and optimisation of distributed data systems
Must Have
- 5+ years’ experience building modern data platforms and production‑grade data pipelines
- Strong understanding of data modelling techniques and distributed data architectures
- Experience working with large‑scale batch and streaming data ecosystems
- Strong problem‑solving skills and ability to operate effectively within fast‑paced trading environments
- Ability to work closely with technical and non‑technical stakeholders across multiple teams
Nice to Have
- Experience with distributed data processing technologies such as Spark, Flink, Polars, or Dask
- Exposure to modern storage technologies such as S3, Delta/Iceberg, Cassandra, ClickHouse, Kafka, or NoSQL databases
- Familiarity with orchestration platforms such as Airflow, Dagster, Prefect, Argo, or Kubernetes
- Experience with modern serialization and data formats such as Parquet, Arrow, Avro, or Protobuf
- Strong operational experience supporting large‑scale production pipelines and data quality processes
This is an excellent opportunity for a technically strong data engineer to join a highly collaborative and engineering‑focused trading environment with broad exposure across modern data infrastructure and quantitative workflows.
Candidates with relevant experience are encouraged to apply to learn more.
