The Data Engineer will build, manage, and optimize complex data solutions using cloud technologies, leading the team, and ensuring data integrity and cost efficiency.
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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