Senior Data Engineer - Banking, Machine Learning
Harvey Nash London, United Kingdom
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Posted 3 days ago | Hybrid Job | Contract | GBP750 - GBP850 per day
Job Overview
We are seeking an experienced Data Engineer to design, build, and optimize complex data pipelines and big data infrastructure. The ideal candidate will have expertise in architecting scalable data solutions, integrating machine learning workflows, and optimizing data processing systems. This role requires technical excellence and the ability to influence architectural decisions aligned with business objectives.
Key Responsibilities
* Design and implement robust, scalable data pipelines for large volumes of structured and unstructured data
* Architect end-to-end data solutions supporting machine learning model training and deployment
* Develop and maintain data infrastructure ensuring data quality, reliability, and accessibility
* Optimize existing data workflows for performance, cost-efficiency, and maintainability
* Contribute to strategic architectural decisions and technical roadmaps
* Implement data governance and security best practices
* Mentor junior engineers and promote best practices in data engineering
Required Skills & Qualifications
* 5+ years of experience in data engineering roles with increasing responsibility
* Proven experience designing and implementing complex data pipelines at scale
* Strong knowledge of distributed computing frameworks (Spark, Hadoop)
* Experience with cloud platforms (AWS, Azure, GCP)
* Proficiency in data orchestration tools (Airflow, Prefect, Dagster)
* Solid programming skills in Python, Scala, or Java
* Experience integrating ML workflows into production data systems
* Strong understanding of data modeling, ETL processes, and database design
* Ability to architect solutions for big data challenges
Preferred Qualifications
* Experience with real-time data processing (Kafka, Kinesis, Flink)
* Knowledge of containerization and infrastructure-as-code (Docker, Kubernetes, Terraform)
* Familiarity with MLOps tools (MLflow, Kubeflow)
* Experience with data governance and cataloging
* Understanding of graph databases and unstructured data processing
* Knowledge of advanced analytics and statistical methods
* Experience with data mesh or data fabric architectures
Education
* Bachelor's in Computer Science, Data Science, or related field (Master's preferred)
* Relevant certifications in cloud platforms or data technologies
Please apply for further details or call 07393149627.
Alex Reeder
Harvey Nash Finance & Banking
We build amazing technology and digital teams, from senior appointments to recruitment and project solutions.
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