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Finance Data Engineer

Qh4 Consulting
London
9 months ago
Applications closed

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Data Engineer – Finance Analytics Technology


We are looking for a dedicatedData Engineerto join the Finance Analytics Technology team. In this role, you’ll play a key part in building, maintaining, and optimising a modern data ecosystem. This permanent opportunity involves working with leading technologies, includingSnowflake, Python, Informatica, andAzure, to deliver high-quality data solutions that support business-critical decision-making.


With ahybrid working modeland three days a week in the office, this role provides the chance to collaborate closely with cross-functional teams in a dynamic and supportive environment.]


Key Responsibilities:


  • Design, build, and optimise scalable data pipelines usingETLandELTmethodologies.
  • UtiliseSnowflakefor efficient data storage, processing, and analytics.
  • Automate data processes and integrate data from multiple sources usingPythonandSQL.
  • LeverageAzure cloud-native technologiesto enhance data infrastructure, ensuring scalability, performance, and security.
  • Collaborate with data analysts, BI developers, and enterprise data teams to align solutions with business requirements and maintain data governance standards.
  • Apply domain knowledge in finance-related data to improve accuracy, enhance models, and meet business needs.
  • Stay informed about developments in cloud and data technologies, contributing to the organisation’s data strategy.
  • Participate fully in the agile development lifecycle, including sprint planning, design reviews, and delivering data tasks within two-week cycles.
  • Ensure compliance with existing standards while contributing to the refinement of best practices in cloud data engineering.


Essential Skills


  • Expertise in building data pipelines and architectures withSnowflake, Python, andInformatica.
  • Familiarity withAzureand other cloud-native technologies.
  • Strong understanding of finance-related data domains and their application in data engineering.
  • Problem-solving ability, combined with excellent collaboration and communication skills, to work effectively with technical and non-technical teams.
  • Experience working within modern technology stacks and agile methodologies.
  • Background in collaborating with geographically distributed development teams.


Desirable Skills

  • Knowledge of reporting tools such asPower BI.
  • Familiarity withSAP FI datasetsor platforms likeSAP BW, SAP Analysis, andBusiness Objects.


This is an exciting opportunity to contribute to meaningful data-driven initiatives, working with a forward-thinking team on innovative projects. If this sounds like your next step, we’d love to hear from you!

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