SENIOR DATA ENGINEER

Recordly Oy; United States; Remote; USD 69,000 - 85,000; Full time

Benefits offered by this job

Healthcare including dental and mental

Wellbeing hour

Flexible remote working

Training budget

Job summary

Recordly Oy in Finland is seeking a data engineering leader to take end-to-end ownership of complex data engineering engagements, from architecture and platform design through reliable production delivery. You will blend hands-on development with customer-facing technical leadership to turn data into measurable business value across modern cloud environments.

The role emphasizes building scalable ELT pipelines, data models, and operating practices with CI/CD, testing, observability, and data

Qualifications

• Experience designing and delivering large-scale ELT solutions and data pipelines.
• Strong data modeling experience from dimensional models to Data Vault 2.0.
• Deep cloud expertise (Azure, AWS or GCP) with IaC, e.g., Terraform.
• DataOps/DevOps capabilities: deployment, testing, monitoring, data quality.

Responsibilities

• Design and deliver scalable data platforms, ELT pipelines, and data models.
• Own technical delivery across customer environments and translate business needs.
• Apply lakehouse/data mesh patterns where appropriate.
• Establish testing, CI/CD, observability, and infrastructure automation.
• Collaborate with stakeholders to create measurable business impact.
• Contribute to solution development and expand engagement value.

Skills

ELT pipelines

Data modeling

Cloud environments

DataOps/DevOps

Finnish language

English language

Tools

Snowflake

Databricks

Microsoft platforms

Terraform

Job description

Role overview

Take end-to-end ownership of complex data engineering engagements, from architecture and platform design through reliable production delivery. The work combines hands-on development with customer-facing technical leadership, helping organizations turn data into practical business value across modern cloud and analytics environments.

Responsibilities

• Design and deliver scalable data platforms, ELT solutions, pipelines, and data models.
• Own technical delivery across customer environments, translating business needs into robust engineering work.
• Apply modern architecture patterns such as lakehouse, medallion, or data mesh approaches where appropriate.
• Build reliable operating practices around testing, CI/CD, observability, data quality, and infrastructure automation.
• Collaborate with customer stakeholders and technical teams to shape solutions that can create measurable business impact.
• Contribute to solution development and identify opportunities to extend the value of customer engagements.

Requirements

• Strong practical experience with modern data platforms such as Snowflake, Databricks, or Microsoft-based platforms.
• Proven ability to design and deliver large-scale ELT solutions and dependable data pipelines.
• Solid data modeling experience, ranging from dimensional models to Data Vault 2.0.
• Deep expertise in at least one major cloud environment—Azure, AWS, or GCP—including infrastructure as code such as Terraform.
• Strong DataOps or DevOps capability covering deployment automation, testing, monitoring, and data quality management.
• Fluent written and spoken Finnish, as well as English, for customer collaboration.

Nice to have

• Experience with data governance, metadata, lineage, and security.
• Familiarity with real-time technologies such as Kafka, Spark Streaming, or Flink.
• Experience supporting machine learning or generative AI platforms, including feature stores, vector databases, or retrieval-augmented generation.
• Background with BI tools and semantic modeling.
• End-to-end expertise in Snowflake and dbt, or experience delivering enterprise-scale Databricks solutions.

Benefits and work setup

The role is based in Finland and supports permanent remote work within the country; relocation support is not provided. The source lists a monthly salary range of €5,400–€6,600, flexible remote working, healthcare including dental and mental health services, a wellbeing hour, insurance, equipment choice, childcare support, training, and a customizable annual benefits budget. Additional options include lunch, sports and culture, transport, home-office, cleaning, childcare, and dental benefits.