BASE life science

Data Engineer

BASE life science

full-time

Posted on:

Location Type: Hybrid

Location: Copenhagen • 🇩🇰 Denmark

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Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformMySQLOraclePostgresPythonRDBMSSQLTableau

About the role

  • Design, develop, automate, and maintain robust data pipelines.
  • Build, implement, and automate efficient data ingestion pipelines.
  • Employ performance optimization techniques for data ingestion efficiency.
  • Apply data quality practices to minimize anomalies.
  • Incorporate error handling and auditing mechanisms for data traceability.
  • Design and execute end-to-end tests for data pipeline functions.
  • Work with cross-functional teams to ensure seamless data integration.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Minimum of 3 years of hands-on experience in a Data Engineer role.
  • Minimum of 2 years of hands-on experience in cloud data transformation platforms such as Azure, AWS, or GCP.
  • Minimum of 2 years of hands-on experience in Python or equivalent scripting languages.
  • Proficient in Structured Query Language (SQL) and experienced in working with RDBMS (e.g., PostgreSQL, Oracle, MySQL).
  • Skilled in ETL technologies (e.g., IDMC, Databricks).
  • Experience with Cloud Databases (Google Cloud, AWS, Azure) is a must.
  • Experience in data modelling and Medallion architecture.
  • Familiarity with RESTful API tools (e.g., Postman, OpenAPI) and API Management platforms (e.g., Mulesoft Anypoint, AWS API Gateway, Apigee) is a plus.
  • Experience with Snowflake, BigQuery, Redshift, or Azure Synapse is a plus.
  • Good understanding of Veeva, Salesforce, IQVIA data models and data sources across HR and Sales functions.
  • Familiarity with data visualization and analytics tools such as Power BI, Tableau, and Qlik is essential.
Benefits
  • Health insurance.
  • Remote work friendliness.
  • Ongoing learning and development.
  • Flexible schedules to fit your work to your routine.
  • Contributions to physical, social, and emotional health.
  • Home office setup with laptop and other electronic devices.
  • The chance to help make a difference for patients around the world.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data pipelinesdata ingestionperformance optimizationdata qualityerror handlingauditing mechanismsend-to-end testingPythonSQLETL technologies
Soft skills
cross-functional collaboration