Claremont Consulting4.7
Sr. Data Engineer
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Rating Highlights
Compensation & Benefits: 4.6
Culture & Values: 4.7
Career Opportunities: 4.5
Work/Life Balance: 4.6
Job & Company Insights
Job Type: Full-time
Job Function: N/A
Industry: Business Service
Size: 51 to 200 Employees

I am currently working with one of Copenhagen’s FinTech SAAS providers who are in the process of growing out their data engineering function who are looking for a Senior Data Engineer to come and influence and guide their data services & Architecture.


You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross_functional teams. As a Data Engineer, you will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.


  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Work with stakeholders including the Executive, Sales, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
  • Keep our data separated and secure across national boundaries through multiple data centres and AWS regions
  • Work with data and analytics experts to strive for greater functionality in our data systems


  • Graduate degree in Computer Science, Informatics or relevant experience
  • 4+ years of experience in a Data Engineer role or Senior Software Engineer role
  • Experience with supporting and working with cross-functional teams in a dynamic environment
  • Experience with object-oriented and functional/scripting languages
  • Experience with relational SQL and NoSQL databases
  • Experience with building processes supporting data transformation, data structures, metadata, dependency and workload management
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Experience with AWS cloud services like EC2, EMR, RDS, Redshift
  • It’s a plus if you have worked with:
  • orchestration: Terraform, Kubernetes
  • big data: Hadoop, Spark
  • data pipeline and workflow management tools: Azkaban, Luigi, Airflow
  • stream-processing systems: Kafka, Flink, Spark Streaming
  • analytics tools: Jupyter, Zeppelin, Domo, Tableau, Looker
  • data integration platforms: Mulesoft, Talend

If you feel you are suitable for the above, please apply in or an immediate review!

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