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Senior Data Processing Specialist

2 months ago

Central Inverclyde, United Kingdom Smart Data Foundry Full time
About the Role

We are seeking a highly skilled Data Engineer to join our team at Smart Data Foundry. As a Data Engineer, you will play a critical role in ensuring the quality and integrity of our financial data.

Key Responsibilities
  • Design and develop data processing architecture and pipelines to optimize data quality and reduce manual effort.
  • Develop and own data cleaning, quality, and validation processes to ensure data accuracy and consistency.
  • Create and explain technical documentation, diagrams, and overviews of processes and infrastructure to technical, semi-technical, and non-technical stakeholders.
  • Collaborate with data scientists, product owners, data partners, and other internal and external customers to understand and deliver team commitments.
  • Develop and evaluate rapid prototypes to test features with end users and support tool selection.
  • Work with customers and partners to integrate data from multiple sources, including APIs, sftp, and manual file transfers.
  • Monitor system performance and contribute to infrastructure optimization, considering utility and cost.
  • Test and mentor less experienced software engineers and quality engineers.
  • Create documentation, operating procedures, and diagrams to support data processing and quality assurance.
  • Work with the synthetic data, product, and engineering teams to build a cloud-based, data-driven SaaS platform.
Requirements
  • Proven programming experience with Python in a Linux environment.
  • Good understanding of software development practices, including code reviews, unit testing, data validation, TDD, source management, continuous integration, and releasing software to live environments.
  • Knowledge of large-scale data processing technology, including Arrow, Hadoop, Cassandra, Spark, Hive, or Databricks.
  • Strong experience of batch ETL, data warehousing, database querying, and building secure and scalable applications in a cloud-based environment, preferably AWS.
Desirable Skills
  • Experience working with infrastructure and container tools, such as Terraform, Kubernetes, and Docker/Podman.
  • Experience with modern software architecture paradigms, including microservices, event-driven, and serverless.
  • Experience using Jira Software or similar project management tools.
About Us

Smart Data Foundry is a purpose-driven organization that aims to unlock the power of financial data to improve people's lives. We enable the research ecosystem to flourish through the provision of research-ready real financial data.

We create data-driven insights based on real financial data to identify areas for policy change and enhance regulation. Our synthetic data engine, aizleTM, creates high-utility synthetic data with no privacy issues when real-world data doesn't exist or cannot be safely shared.

We are a collaborative, innovative, and impactful place to work, offering a competitive reward package, 40 days annual leave, a defined contribution pension scheme, family-friendly initiatives, and flexible working.