Join our Data Engineering team to build advanced data solutions and manage large-scale data processing systems while leading and inspiring others.
Data Engineer
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
Fme
Hadoop
Kafka
Python
Spark
SQL
Similar Jobs
Blockchain • Fintech • Payments • Cryptocurrency • Web3
The role involves building and integrating data pipelines, enhancing feature stores for real-time ML applications, and improving data monitoring for FinCrime contexts.
Top Skills:
AirflowApache BeamBigQueryBigtableDatadogDataflowDockerFastapiGitKubeflowKubernetesNumpyPandasPolarsPydanticPythonRedisVertex Ai
Blockchain • Analytics
As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.
Top Skills:
Ai ToolsBigQueryClickhouseDbtPythonSQL
Machine Learning • Software
As a Senior Python Data Engineer at RoomPriceGenie, you will design ETL pipelines, develop robust codebases, and collaborate with teams to enhance data processing and architectural evolution.
Top Skills:
CeleryDagsterDatadogDbtDjangoEcsFargateNumpyPandasPythonRabbitMQSnowflakeSonarqube
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
