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Sr. Data Engineer

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

Overview:

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.

Duties:

·       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

Qualifications

·       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!