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Senior Data Engineer

CyberCubeTallinn, Estonia | HarjumaaRemote, Hybrid, Onsite
This job is no longer open
We are looking for an experienced Data Engineer to join our team. You will be responsible for expanding and optimizing our data and pipeline architecture and data flow and collection for cross-functional teams. The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.
There are currently no fully remote or relocation opportunities to Tallinn, Estonia for this role.

Responsibilities


  • 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 data from various sources using SQL and AWS ‘big data’ technologies
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes
  • Work with stakeholders, including the Executives, Product, Data, and Platform teams, to assist with data-related technical issues and support their data infrastructure needs

Qualifications


  • 3+ years of experience in a Data Engineer role
  • Experience with relational SQL and NoSQL databases, including MySQL and ElasticSearch, etc.,
  • Experience with data pipeline and workflow management tools: Luigi, Airflow, etc.
  • Experience with big data technologies like Hadoop, Spark, Redshift, Athena
  • Experience with visualization tools such as Grafana, QuickSight
  • Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.

Nice to Haves


  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience with data-driven applications and building platforms
  • Experience working on cloud platforms such as AWS

Why You'll Love It Here


  • Play an instrumental role in reshaping one of the oldest industries in the world
  • Competitive salary and meaningful early stage equity
  • Healthcare benefits with medical, dental and vision coverage
  • Monthly catered lunches and happy hours
  • Company paid learning and development assistance
  • Flexible working hours and the option to work remotely when necessary
  • Company supported mentorship program
  • Grow in a collaborative, respectful, and empathetic culture

Apply for this job

This job is no longer open

Life at CyberCube

CyberCube delivers data-driven cyber analytics built specifically for the insurance industry. CyberCube is focused on solving the most difficult and important cyber risk challenges in insurance with world-class analytics. Our team is composed of multi-disciplinary experts across data science, cyber security, software engineering, actuarial modeling and commercial insurance. CyberCube offers a software as a service platform for cyber risk aggregation modeling and insurance underwriting. The CyberCube platform was established in 2015 by Symantec to apply the cyber security company's unique sources of data, intelligence and expertise to cyber insurance analytics and now operates as a standalone company with continued access to Symantec data and resources.
Thrive Here & What We Value1. Competitive salary and meaningful early stage equity2. Healthcare benefits with medical, dental, and vision coverage3. Flexible working hours and remote work option4. Company-supported mentorship program5. Collaborative, respectful, empathetic culture6. Explosive team growth and client base expansion7. Exceptionally well-funded startup with no immediate need for additional capital8. Highly diverse, collaborative, high-performing team9. Continuous commitment to career excellence10. Industry recognition through awards (e.g., CyberCube's industry accolades)

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