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Senior Data Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇬🇧 United Kingdom – Remote

💵 £500 - £600 / day

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Advancing Analytics's careers page, not through a job board

First seen by Remote Rocketship 4 minutes ago

Logo of Advancing Analytics

Advancing Analytics

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Advancing Analytics is a Big Data and AI consultancy that helps organisations turn data into actionable insight. The company specializes in Microsoft Data & AI and Databricks technologies, advancing Lakehouse architecture and blending traditional analytics with machine learning and AI. They provide services across data engineering, analytics, strategy and systems implementation, operating as a remote-first, B2B consultancy staffed by certified experts.

📋 Description

• Support the rollout and maintenance of a large, multi-service Data and AI platform • Build solutions using the core data engineering technology stack • Develop end-to-end data and AI platform solutions • Gather requirements and consult with clients • Contribute to agile projects • Apply ETL approaches focused on data quality, resilience, and observability • Work with distributed compute, streaming data, visualization, Azure Functions, and related technologies where applicable • Collaborate within an inclusive team and engage with the wider technology community

🎯 Requirements

• Experienced Data Engineer • Based within the UK • Experience with Microsoft Azure and cloud computing concepts • Experience with Apache Spark, including Databricks, Microsoft Fabric, or another Spark engine • Proficiency in Python • Proficiency in SQL, including complex high-performance queries and query execution across compute technologies • Experience with Azure Data Factory or other cloud orchestration tools • Experience with Azure Data Lake Storage and Delta Lake • Experience with Unity Catalog, Purview, or other data governance tools • Experience with infrastructure-as-code tools such as Terraform or Azure DevOps • Requirements gathering and client consulting skills • Agile project management knowledge • Understanding of object-oriented development practices • Knowledge of ETL approaches, including data quality, resilience, and observability • Understanding of CI/CD methodologies and SDLC

🏖️ Benefits

• Access to the latest technology and training opportunities through Microsoft Specialised Partner, Databricks Elite Partner, and AWS Partner status • Investment in employees’ long-term goals • Collaborative and inclusive team environment • Zero-burnout culture • Professional development through meetups, conferences, events, speaking, mentoring, and sponsorship • Equal opportunity workplace

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