Senior Data Engineer
Remote
What it's like to work at Landmark:
We're a friendly, dynamic and supportive team. We encourage being bold, dreaming big and active, curious minds, both in our performance as a team and individually. We actively promote involvement in the development and direction of our products and services, as well as finding new and more efficient ways to work. We love to get together to do great work and be sociable. As well as this we offer:
Competitive salary25 days’ holiday plus bank holidays, with optional 5 days unpaid leave per yearAnnual lifestyle allowance of £300 to put towards an activity of your choicePension matched up to 6% for the 1st 3 years and matched up to 10% thereafterPrivate Health Insurance – currently via VitalityGroup Income Protection SchemeMatched funding for Charitable fundraisingCycle to Work scheme and Gym Flex schemeInternal coaching/mentoring system throughout your time hereFocus on training and career progressionFamily friendly policiesFree parking The Opportunity
This is an exciting senior role in our Data department for an experienced Data Engineer to work on our modern Data platform. We are currently undertaking an ambitious data transformation that will set the future of Data at Landmark as well as changing the property industry.
This is a broad and varied role within our Data Engineering function, and you will be involved in creating data-as-product solutions. This role entails:
Assemble large, complex data sets that meet functional/non-functional business requirementsBuilding the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud-based technologies.Extend & maintain the Data Warehouse platform that underpins Landmark’s reporting solutionsEnsuring that the Data Platform adheres to the agreed cost model and budgetProvide strong thought leadership and lead by example. About You
The ideal candidate will be able to inspire, lead and mentor others and take them along on the journey. You will also have effective communication skills plus
Extensive experience in data engineering, in both Cloud & On-prem environmentsExcellent knowledge of data technology, data transformation tools, data governance techniques.Excellent analytical and problem-solving skills.Good understanding of Quality and Information Security principles.Azure experience (configuration/automation/monitoring/security)Advanced Database and SQL skillsEffective communication, ability to explain technical concepts to a range of audiencesStrong understanding of the principles of data model design and implementationAble to provide coaching and training to less experienced members of the teamEssential skills: ETL Tools such as ADF and DatabricksSQL, Python, PySpark, Spark SQLData warehousing design patterns and implementation Highly desirable skills: Geospatial data experienceAzure Data & Delta Lake & Databricks Lakehouse