Finance Data Engineer

Qh4 Consulting

London

2 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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