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Landmark Information Group

Data Engineer (12 month FTC)

Posted 24 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in GBR
Mid level
Remote
Hiring Remotely in GBR
Mid level
The Data Engineer will build, manage, and optimize complex data solutions using cloud technologies, leading the team, and ensuring data integrity and cost efficiency.
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Data Engineer (12 month FTC - Project running until 2028)

Remote (UK Only)

Hiring Manager: Tamara Carpintero

The Opportunity

Are you ready to make a significant impact on the future of data? We have an exciting opportunity for a Data Engineer to join our Data Engineering team - ideal for experienced professionals who are ready to lead, innovate, and energise those around them. As a 100% data-driven company, we pride ourselves on employing the best engineering practices across our products and solutions. This role offers a broad and varied experience within our Data Engineering function, empowering you to create data-as-product solutions that drive real change.

In this role, you will:

  • Assemble Large, Complex Data Sets: Craft and manage data sets that meet both functional and non-functional business requirements.
  • Build Advanced Data Solutions: Develop the software and infrastructure for optimal data extraction, transformation, migration and ingestion using leading cloud technologies like Azure.
  • Leverage Big Data Technologies: Utilize tools such as FME, Hadoop, Spark, and Kafka to design and manage large-scale data processing systems.
  • Extend & Maintain Data Warehousing: Support and enhance the ETL, Data Lakes, Data Processing and Data Warehouse solutions crucial for Landmark's customers and reporting solutions.
  • Ensure Cost Efficiency: Keep the Data tools and its solutions within agreed cost models and budgets.
  • Lead by Example: Provide thought leadership, inspiring and guiding our team through excellence.

 About You

We're looking for a passionate and motivated Data Engineer — someone who thrives on solving complex problems, inspires others, and brings a positive, proactive mindset to the team.

  • The ideal candidate will possess:
  • Extensive experience in data engineering across both Cloud & On-prem environments
  • Expert knowledge in data technologies, data transformation tools, data governance techniques.
  • Exceptional coding skills.
  • Strong analytical and problem-solving abilities.
  • Good understanding of Quality and Information Security principles.
  • Hands-on experience with Azure (coding, configuration, automation, monitoring, security)
  • Advanced Database and SQL skills
  • Effective communication, ability to explain technical concepts to a range of audiences
  • A Strong grasp of data model design and implementation principles
  • The ability to coach and support less experienced team members
  • Essential skills:
    • ETL Tools such as FME, Azure Data Fabric (ADF), etc
    • Languages such as Python and SQL. - Nice to have: R, Spark, Java, PySpark, Spark SQL, etc
    • Cloud expertise such us Azure Blob storage, CosmosDB, RabbitMQ in Azure, ADF, etc
    • SQL, Postgres or Data warehousing design patterns and implementation
  • Nice to have skills:
    • HDFS, Hadoop, or other on-prem Big Data technologies
    • Familiarity with Salesforce in data integration scenarios
    • Experience with Data Lakes
    • Exposure to Geospatial data is a plus.

Top Skills

Azure
Azure Blob Storage
Azure Data Fabric
Cosmosdb
Fme
Hadoop
Java
Kafka
Postgres
Pyspark
Python
R
RabbitMQ
Spark
Spark Sql
SQL

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