As a Data Engineer you will play a crucial role in creating and managing the dataflows used by production machine learning models and data scientists. You will be responsible for collaborating with cross-functional teams engineers product managers and data scientists to understand requirements and deliver high-quality solutions. You will be expected to implement best practices in data management coding testing and deployment ensuring scalability performance and security. Strong problem-solving skills excellent communication and the ability to adapt to new challenges in a fast-paced environment is essential for this role.
Key Responsibilities:
Design build and maintain large-scale data pipelines to ingest process and transform complex financial data
Develop data ingestion frameworks to handle high-volume and high-variety data feeds
Implement data quality control measures to detect and handle data anomalies duplicates and inconsistencies
Optimize data pipeline performance for scalability reliability and latency
Collaborate with data scientists to integrate machine learning models into the data pipeline and ensure seamless data flow
Develop and maintain model serving infrastructure to support real-time predictions and batch scoring
Implement model monitoring and logging to track performance data quality and model drift
Manage cloud-based infrastructure to support data pipeline and model serving workloads
Troubleshoot data pipeline issues data quality problems and model performance degradation
Collaborate with cross-functional teams including data science product and engineering teams to ensure alignment and effective communication
Required Skills Experience and Qualifications:
5 years of experience in a data engineering or similar role with a focus on building and deploying data pipelines and machine learning models
3 years of experience with Databricks PySpark and Apache Spark
2 year of experience with Apache Airflow Apache Kafka and Kubernetes
Strong Python skills with 3 years of experience
Experience with production machine learning model deployment and management
Knowledge of cloud-based infrastructure and services AWS and Azure
Experience with data warehousing data lakes and data marts
Familiarity with containerization using Docker and orchestration using Kubernetes
Understanding of messaging and streaming using Apache Kafka
Experience with workflow management using Apache Airflow
Strong problem-solving skills with the ability to troubleshoot complex data pipeline and machine learning model issues
Excellent communication and collaboration skills with the ability to work with data scientists engineers and senior stakeholders
Degree educated in Computer Science or relevant subject
Excellent spoken and written English
Experience of driving innovation within teams
Positive can-do approach to work delivering on commitments
Able to earn respect and build trust through high-quality delivery and by demonstrating value added
Act with integrity with the ability to make decisions taking accountability for the consequences of these decisions
Creative approach to problem solving can look at existing situations and problems in novel ways and propose innovative solutions
About us
We are a diverse group of visionary innovators who provide trading and workflow automation software high-value analytics and strategic consulting to corporations central banks financial institutions and governments. Founded in 1999 we have achieved tremendous growth by bringing together some of the best and most successful financial technology companies in the world.
Over 2000 of the worlds leading corporations including 50% of the Fortune 500 and 30% of the worlds central banks trust ION solutions to manage their cash in-house banking commodity supply chain trading and risk.
Over 800 of the worlds leading banks and broker-dealers use our electronic trading platforms to operate the worlds financial market infrastructure.
ION is a rapidly expanding and dynamic group with 13000 employees and offices in more than 40 cities around the globe
Our ever-expanding global footprint innovative products and over 40000 customers worldwide provide an unparalleled career experience for those who share our vision. Learn more at .
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