Azure Data Engineering Lead

November 23

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Logo of Laminar Projects

Laminar Projects

Project Controls • Project Planning • Cost Management • Risk Management • Lean Project Management

51 - 200 employees

Description

• Want to join a company that works on real world problem that make a difference to people’s lives? We are focused on changing how we build what’s around us, helping people to design and construct buildings and infrastructure. • We’re seeking an experienced hands-on Azure Data Engineer who will lead and develop our data engineering team. If you enjoy setting best practice and mentoring others around you, we need you! • We are Laminar Projects! • We are an award winning consultancy that implements technology to improve the delivery of complex construction projects. Improving construction strengthens the very foundation of human civilisation. • The Data & Digital team helps people to use data effectively to improve the performance of their projects or organisations. To do this effectively and at scale we use the moderndigital technologies including Azure, Fabric, Power BI and Python. • Help us build a high-performing data engineering team, enabling our team members to reach their full potential through training and mentoring. • Ensure we build adaptable data pipelines tailored to clients' needs, employing a range of technology solutions and following best practice.

Requirements

• Degree educated in one of the following: Computer Science, Data Science, Engineering, Mathematics, Physics, or equivalent experience. • 5+ years working with SQL: building and optimising analytics tables, building complex queries. Experience with other database technologies is a bonus. • 5+ years designing and implementing robust data pipelines in Azure Data Factory, Azure Synapse Analytics, Azure Databricks. • Strong experience in software engineering fundamentals including testing (e.g. Azure Test Plans, dbt), Git version control, agile development and sharing knowledge via code review, mentoring and documentation (e.g. Confluence, DevOps wiki). • Experience with Medallion Architecture for data pipelines. • Experience leading data/ software teams • Experience building business processes for teams to follow • Experience with Microsoft Fabric • Microsoft Certification: Azure Data Engineer Associate, Azure Solutions Architect Expert. • Experience with Python and Azure Functions to glue together data infrastructure. • Experience in implementing products with data scientists • Working knowledge of C# and JavaScript for data pipeline development and optimising API solutions for data engineering workflows.

Benefits

• Competitive salary dependent on location and capability • Paid Annual Leave 25 days + statutory Bank Holidays • Pension (Match contribution up to 7%) • Private health insurance • Discretionary bonus scheme for all team members • All required travel costs outside of your local area are covered

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