Data Manager
@ Landmark Information Group

Exeter, England, United Kingdom
On Site
Posted 3 days ago

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XXXXXXXXX XXXXXXXXX XXXXXXXXXX****** @landmarkinformationgroup.com
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Job Details

About Landmark Information Group

We are a friendly, dynamic and supportive PropTech business with a portfolio of market leading applications and services that span national scale property data and geospatial datasets. We promote innovation, passion, and collaboration, encouraging involvement in developing products and improving internal processes.

What It's Like to Work Here

The team enjoys a competitive salary, 25 days’ holiday (with optional 5 days unpaid leave), free parking, an annual lifestyle allowance, Cycle to Work and Gym Flex schemes, internal coaching/mentoring, career progression, family-friendly policies, and flexible working options.

The Opportunity: Data Manager

The Data Manager is the subject matter expert for key datasets that underpin Landmark’s products and services. This role involves ensuring dataset quality and currency, optimizing processes, and supporting cloud migration and project work using your technical and domain expertise.

Key Responsibilities

  • Maintain and enhance dataset quality and processes.
  • Implement efficiencies in data pipelines using FME Form/Flow.
  • Collaborate with teams to support cloud migration and project work.
  • Provide support and insights on data governance and best practices.

About You

You are inquisitive, an effective communicator, and possess planning and delegation skills. With a qualification in GIS or a Data related discipline, you have practical experience in data analysis, ETL/ELT processes, SQL, Python, and database technologies such as Oracle, SQL Server, or PostgreSQL. Experience with cloud-based data tooling is a plus.

Key skills/competency

Data Manager, GIS, Data Analysis, ETL, SQL, Python, FME, Oracle, Cloud, Data Governance

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How to Get Hired at Landmark Information Group

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experiences related to data management.
  • Highlight ETL skills: Emphasize your FME, SQL, and Python expertise.
  • Research Landmark: Understand their PropTech portfolio and culture.
  • Prepare examples: Demonstrate problem-solving in data workflows.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Python scripting.
Practice ETL/ELT process exercises.
Explore FME Form/Flow tutorials.
Revisit cloud database management basics.

Behavioral Questions

Describe a data challenge overcome.
Explain collaboration in team projects.
Discuss problem solving in previous roles.
Share experience managing junior team work.

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