Senior Data Engineer

Senior Data Engineer

Hybrid opportunity – South West London

Up to £80,000 per annum plus benefits and bonus

*20% on site - 80% work from home

Our client, a leading global innovator in the Design and Engineering arena, is looking for an experienced Senior Data Engineer to join their technical team. As the Senior Data Engineer, you will bring your experience to the organisation, working closely with senior partners and stakeholders to drive the data strategy forward and proactively offer your insights and suggestions to the data vision.

This is a fantastic opportunity for a Senior Data Engineer who is looking to grow their career and spearhead several key projects and grow a team over the coming months

Responsibilities

* Designing and implementing data models, pipelines, and solutions for existing and new data systems

* Work with the Head of and the data team to implement technical solutions in line with the team data vision

* Orchestrate data migration

* Able to take complex problems and break these down to implement effective solutions

* Troubleshooting and resolving data management issues across teams

* Collaborating with data architects, analysts, and scientists to determine design and data needs

* Ensuring data compliance and security standards are met in system construction

* Performing data validation testing and generating reports on data quality and performance

* Recommending and deploying new technologies and tools for data engineering

Qualifications

* Excellent stakeholder engagement experience

* Strong communication – able to clearly and concisely deliver strategy to stakeholders and wider teams

* Previous experience of mentoring / leading small teams advantageous

* Python

* Databricks & Spark

* Dynamic ADF Pipelines

* Spark SQL or other SQL languages.

* Azure Resources and managing resources in Azure or similar

* Familiarity with Azure DevOps and/or other git / project management tools.

* Strong understanding of Data Modelling, including Dimensional Modelling.

* Experience with Power BI and DAX