Senior Data Engineer — Remote Finland, Cloud & Data Mesh

Recordly Oy; United States; Remote; USD 67,000 - 81,000; Full time

Benefits offered by this job

Healthcare & dental benefits

Mental health support

Wellbeing hour

Insurance for equipment

Childcare support

Training opportunities

Annual benefits budget

Lunch allowance

Sports and culture benefits

Transport support

Home-office stipend

Cleaning services

Dental benefits

Job summary

Recordly Oy seeks a senior data engineering leader to own end-to-end data engineering engagements, from architecture to reliable production delivery. You will blend hands-on development with customer-facing technical leadership to turn data into business value in cloud and analytics environments.

You will design scalable data platforms, ELT pipelines, and data models, driving delivery across customer environments with a focus on quality, observability, and automation.

Qualifications

• Fluent Finnish and English for customer collaboration.
• Proven experience designing and delivering large-scale ELT pipelines and data platforms.
• Hands-on experience with modern cloud data platforms and IaC tooling.

Responsibilities

• Design and deliver scalable data platforms, ELT pipelines, and data models.
• Own technical delivery across customer environments translating business needs into robust engineering work.
• Apply lakehouse, medallion, or data mesh patterns where appropriate.
• Build reliable operating practices around testing, CI/CD, observability, data quality, and automation.
• Collaborate with stakeholders to shape solutions with measurable business impact.
• Identify opportunities to extend value of customer engagements.

Skills

Finnish language

English language

DevOps mindset

Tools

Snowflake

Databricks

Microsoft Azure/AWS/GCP

Terraform

Kafka

Spark Streaming

Flink

Job description

Recordly Oy seeks a senior data engineering leader to own end-to-end data engineering engagements, from architecture to reliable production delivery. You will blend hands-on development with customer-facing technical leadership to turn data into business value in cloud and analytics environments.

You will design scalable data platforms, ELT pipelines, and data models, driving delivery across customer environments with a focus on quality, observability, and automation.