Senior Data Engineer

Senior Data Engineer £60,000-£70,000 Remote- England Based I am delighted to be partnering with a leading consultancy, they have some exciting projects coming available and will be looking for someone technically strong, with a commercial mindset. This role will be predominantly remote, with occasional travel to site when clients request.

As a Senior Data Engineer, you will:

• Bring a broad skill set in data engineering, with a strong track record of delivering solutions within Microsoft Asure.
• Build strong working relationships with clients and collaborate effectively with both business and technical stakeholders.
• Leverage your experience in data engineering to develop high-performance, end-to-end solutions in a team-oriented environment.
• Deliver high-quality work, proactively identifying and escalating challenges to clients or senior team members while proposing effective solutions.
• Contribute to the growth of the Consulting practice by participating in knowledge-sharing initiatives and enhancing data services.
• Demonstrate success in delivering commercial projects using modern data technologies.
• Provide mentorship and guidance to junior team members, reviewing their work and ensuring alignment with project and organisational goals.

As Senior Data Engineer, you will have:

• Extensive experience in designing and implementing data solutions using Azure Data Factory, Azure Synapse, or Fabric.
• Proficiency in SQL and Python with hands-on expertise in working with relational SQL databases, both on-premises and in the cloud.
• Proven ability to deliver multiple data solutions, leveraging key methodologies such as Governance, Architecture, Data Modeling, ETL/ELT, Data Lakes, Data Warehousing, Master Data Management, and Business Intelligence (BI).
• Strong understanding of engineering delivery processes, including Agile, DevOps, Git, APIs, Containers, Microservices, and Data Pipelines.
• Experience working with Spark, Kafka, or Snowflake.
• Skilled in providing insightful data solutions that drive business value.
• Confident in engaging with senior stakeholders and contributing effectively to meetings.
• A strong team player, committed to supporting and sharing knowledge with colleagues.
• A track record of delivering accurate, high-quality output while taking responsibility for key project elements.
• Awareness of industry standards, regulations, and emerging trends in data engineering.

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