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Data Engineer

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πŸ•’ January 12

🏒🏑 London – Hybrid

⏰ Full Time

🟠 Senior

πŸ”΄ Lead

🚰 Data Engineer

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Logo of Unity Advisory

Unity Advisory

WebsiteLinkedIn

51 - 200 employees

🀝 B2B

πŸ’Έ Finance

πŸ€– Artificial Intelligence

B2B β€’ Finance β€’ Artificial Intelligence

Unity Advisory is an AI-driven advisory firm that partners with CFOs and finance leaders to deliver high-impact financial and operational transformation. The firm combines large-language models, data-led insights, and streamlined workflows to provide bespoke advisory services and value-add products designed to improve efficiency, scalability, and enterprise growth while avoiding conflicts tied to statutory audit. Unity Advisory serves ambitious companies with B2B advisory, talent-led execution, and technology-enabled solutions focused on the office of the CFO.

πŸ“‹ Description

β€’ Designing, building, and operating scalable data foundations that enable analytics, AI use cases, and data-driven decision-making. β€’ Developing robust data models and semantic layers using Snowflake and AWS RDS. β€’ Implementing and maintaining modern data stacks across warehousing, ingestion, and orchestration tools. β€’ Optimizing data tracking and collection frameworks. β€’ Supporting governance and compliance requirements, including GDPR, cookies, and internal data standards. β€’ Delivering efficiency gains through automation, improved data workflows, and thoughtful technology choices. β€’ Collaborating closely with AI engineers, full stack engineers, and platform leads.

🎯 Requirements

β€’ 7+ years’ experience in data engineering, analytics engineering, or closely related roles. β€’ Strong hands-on expertise across: β€’ - Data Modelling & Transformation: SQL, Python β€’ - Warehousing & ETL: Snowflake, BigQuery, Fivetran, Airbyte, Snowpipe β€’ - BI & Analytics Enablement: Looker, Tableau, PowerBI, hex.tech, Streamlit β€’ - Cloud Platforms: AWS and/or Google Cloud β€’ Solid understanding of data architecture, pipeline design, and performance optimisation. β€’ Experience implementing data governance, quality, and compliance controls in production environments. β€’ Strong commercial mindset with the ability to understand how data supports business outcomes. β€’ Proven ability to work autonomously and own data systems end-to-end. β€’ Excellent collaboration and communication skills, able to work effectively with technical and non-technical stakeholders. β€’ Comfortable operating in a fast-growth, entrepreneurial environment with evolving requirements.

πŸ–οΈ Benefits

β€’ A truly hybrid and flexible working environment. β€’ The opportunity to be at the forefront of AI-driven advisory services. β€’ Part of a high-impact finance function, empowered to shape systems and processes. β€’ Support for an inclusive recruitment process.

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