Senior Data Engineer

Description

Role highlights:

• Senior Data Engineer
• Finland
• Permanent
• Hybrid

Who are we?

ICEYE is the global leader in synthetic aperture radar (SAR) satellite operations for Earth Observation, persistent monitoring, and natural catastrophe solutions; owning and operating the world's largest SAR constellation. ICEYE is headquartered in Finland and operates from five international locations with more than 600 employees from nearly 60 countries, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.

Our satellites acquire images of Earth at any time – even when it’s cloudy or dark – providing commercial and government partners with unmatched persistent monitoring capabilities. Information derived from our SAR images helps customers make data-driven decisions to address time-critical challenges in various sectors, such as maritime, disaster management, insurance, and finance.

Our team is a tight-knit group of experts across many disciplines (e.g., engineering, software development, radar technology, etc.). We’re innovative, driven people who strive for excellence in everything we do. Teamwork, curiosity, and having fun are core values at ICEYE, and contribute to Making the Impossible possible!!

Why should you work for us?

ICEYE is at the cutting edge of new technology and we are continuing to build and operate our commercial constellation of SAR satellites. Working with ICEYE, you will be part of making the impossible possible, whilst shaping the Earth Observation industry. You will work with varied, diverse and engaged colleagues to further the ICEYE mission. At ICEYE we realise that without great people we can not succeed, therefore you will be an integral, valued and appreciated colleague, with the ability to directly shape the vision and direction of the business. 

We actively support Continuous Professional Development, and will provide access to a range of avenues to allow you to succeed, including courses, training and attendance at conferences. ICEYE is a place where your development, your growth and your success is a priority. 

What challenges you will help us solve

• Take a pivotal role within a cross-functional team to develop the organization's data platform, spanning across regions and encompassing on-premises systems.
• Contribute to designing and implementing the data landscape and architecture, emphasizing real-time and batch processing needs, as well as considerations for reliability, scalability, and cost-effectiveness.
• Design, implement, and fine-tune data models to efficiently process diverse datasets, thereby bolstering the analytical capabilities of the organization.
• Proactively identify opportunities and spearhead initiatives aimed at improving data engineering processes. Monitor pipeline performance and pinpoint areas for optimization and efficiency enhancements.

Your responsibilities as Senior Data Engineer include

• Work collaboratively within a cross-domain team to develop new data products and features that drive high-quality analytics and future data initiatives, both internally and externally. 
• Enhance and support the data platform for both batch and near-real-time use cases. 
• Focus on data delivery, storage, and transformation to improve ICEYE's data models while ensuring compliance with data regulations. 
• Promote best practices in data modeling, with an emphasis on data quality and its application in analytics throughout the organization. 
• Adopt a consulting and coaching mindset to foster collaboration and knowledge sharing within and beyond the team. 
• Create guidelines and offer coaching on effectively utilizing dashboards and interfaces provided by the data engineering team. 
• Enhance and support the data platform for both batch and near-real-time use cases.

• Strong foundation in data engineering and data modeling concepts
• Experience in building Data Platforms (Data Mesh experience would be nice to have)
• Hands-on experience in ingestion pipeline development, ETL processes, data modeling, deployment, maintenance, and updates in production environments
• Data-driven mindset and experience with catering to Analytical requirements Experience working with cloud platforms, on-prem Data Warehouses and microservices
• Familiarity with Lakehouse solutions like Databricks (Ideally) or Snowflake, and orchestration tools like dbt (ideally), Airflow, Dagster
• Familiarity with ingestion tools like Fivetran, Airbyte, DMS etc.
• Well-versed in design patterns, system architectures, and industry best practices
• Proficient in Python, SQL and experienced in data ingestion from both SQL and NoSQL databases
• Experience with data streaming or near real-time analytics

Non-Technical Skills:

• Effective communication and collaboration skills for working across cross-functional teams
• Demonstrated adaptability and willingness to constantly learn to stay updated on industry trends
• Ability to mentor junior and mid-level analysts on best practices surrounding analytical products