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Senior Data Engineering Consultant

đź•’ March 24

🇬🇧 United Kingdom – Remote

đź’µ ÂŁ70k - ÂŁ90k / year

⏰ Full Time

đźź  Senior

đźš° Data Engineer

Where this job comes from

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

First seen by Remote Rocketship March 24

Still open on Advancing Analytics's site. Checked 9 hours ago.

Logo of Advancing Analytics

Advancing Analytics

51 - 200 employees

Founded 2018

đź’Ľ 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.

đź“‹ Description

• Deliver bleeding-edge analytical solutions for customers worldwide • Build AI solutions on solid, reliable data platforms • Lead projects while seeing the end-to-end solution • Balance technical expertise with pragmatic project needs in an agile environment • Gather requirements and provide client consulting • Apply ETL approaches focused on data quality, resilience and observability • Collaborate within a small, inclusive and knowledge-sharing team • Share knowledge, skills and expertise internally and with the wider data community • Maintain and develop expertise across Microsoft, Databricks, AWS, Sigma, Tabular Editor and dbt Labs technologies • Participate in industry events and the wider data and AI community

🎯 Requirements

• Must be based within the UK • Good understanding of the core technology stack and ability to see the end-to-end solution whilst leading a project • Experience with Microsoft Azure and cloud computing concepts • Experience with Apache Spark, including Databricks, Microsoft Fabric or another Spark engine • Python proficiency • SQL proficiency, including writing complex high-performance queries and understanding query execution on different 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 an IaC tool such as Terraform or Azure DevOps • Requirements gathering and client consulting • Agile project management • Understanding of object-oriented development practices • ETL approaches, including data quality, resilience and observability • Understanding of CI/CD methodologies and SDLC • Experience with Microsoft Power BI, Tableau, Azure Stream Analytics, Event Hubs, IoT Hubs, distributed compute engines, or Azure Functions is beneficial but not essential

🏖️ Benefits

• Industry matching • Maternity & Paternity policy • Private Medical & Dental Care plus Eye care scheme • Health & Well-being supplement • 25 Days Annual Leave, Birthday Leave & Charity Leave • Away days with the team • Discretionary Annual Bonus Scheme • Flexible Working Hours • Electric Car Scheme • Hands-on access to exciting technology and learning opportunities • Long-term investment in employee development • Opportunities to speak at events and participate in the wider data and AI community

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