Options Group
Senior Data Engineer - Energy Trading - London
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About the Role
Our client is a major commodity trader with 40 offices across the globe. We are recruiting a mid-senior Data Engineer with a background in Python, SQL, AWS to build data pipelines and dashboards that inform trading decisions daily. The Data Engineering team is responsible for a fundamental data system processing 50+ billion rows of data per day and feeding directly into trading decisions.
Responsibilities
You will partner closely with business stakeholders and engineering teams to understand their data requirements and deliver the necessary data infrastructure to support their activities.
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Essential Skills
- Ideally 15+ years experience but no less than 10 years in the data engineering space
- Proficient with MPP Databases (Snowflake, Redshift, Big Query, Azure DW) and/or Apache Spark
- Proficient building resilient data pipelines for large datasets
- Deep AWS or cloud understanding across core and extended services.
- 10+ years experience working with at least 3 of the following: ECS, EKS, Lambda, DynamoDB, Kinesis, AWS Batch, ElasticSearch/OpenSearch, EMR, Athena, Docker/Kubernetes
- Proficient with Python and SQL, and with good experience with data modelling
- Experience with a modern orchestration tools (Airflow / Prefect) and/or DBT
- A background in a dynamic financial services environment (Investment Bank, Hedge Fund)
- BSc in Computer Science from a Russell Group University
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Desirable Skills
- Exposure to trading and/or commodity business
- DBT experience
- Infrastructure as Code (Terraform, Cloud Formation, Ansible)
- CI/CD Pipelines (Jenkins / GIT / BitBucket)
- Database/SQL tuning skills
- Basic data science concepts
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