Sr. Data Engineer

Posted 25 June 2021
Salary75,000DKK – 85,000 DKK (Per Month)
LocationCopenhagen, Capital Region
Job type Permanent
Contact NameZack Abbatecola

Job description

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!