DATA ENGINEER

Recordly Oy

United States

Remote

USD 56,000 - 68,000

Full time

14 days+

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Benefits offered by this job

Remote work (Finland)
Healthcare
Flexible hours
Equipment allowance
Training budget
Wellbeing time
Travel insurance
Childcare support
Lunch/transport/culture/home-office

Job summary

Recordly Oy is seeking a Data Engineer to build dependable data solutions that deliver real value for customers. You'll work across pipelines, platforms, and models in a technology-agnostic environment and have opportunities to grow toward more senior responsibilities.

In this remote Finland role, you will develop ETL/ELT pipelines, design scalable data models, and implement cloud-based solutions with strong version control and reliability standards.

Qualifications

  • Several years of relevant experience in data engineering or software engineering.
  • Hands-on data pipelines and data models.
  • Strong SQL and Python (or Scala/Java/JS).
  • Experience with at least one cloud environment (Azure/AWS/GCP).
  • Git and CI/CD fundamentals.
  • Fluency in English; Finnish written and spoken.

Responsibilities

  • Build and maintain data pipelines using ETL and ELT patterns.
  • Design data models and contribute to scalable data platforms and warehouse or lakehouse solutions.
  • Work with customer requirements to translate business needs into useful, maintainable data products.
  • Develop cloud-based data solutions and apply sound practices for version control, delivery, and reliability.
  • Collaborate with data and technology specialists across different customer environments.
  • Help create high-quality datasets that support analytics, reporting, and broader business decision-making.

Skills

Data pipelines
Data models
SQL
Python
Cloud: Azure/AWS/GCP
Git CI/CD
Finnish language
English language

Tools

Snowflake
dbt
Databricks
Microsoft data-platform

Job description

Role overview

This Data Engineer role centers on building dependable data solutions that create practical value for customers. You will work across pipelines, platforms, and data models in a technology-agnostic environment, with opportunities to broaden your skills and progress toward more senior responsibilities.


Responsibilities


  • Build and maintain data pipelines using ETL and ELT patterns.

  • Design data models and contribute to scalable data platforms and warehouse or lakehouse solutions.

  • Work with customer requirements to translate business needs into useful, maintainable data products.

  • Develop cloud-based data solutions and apply sound practices for version control, delivery, and reliability.

  • Collaborate with data and technology specialists across different customer environments.

  • Help create high-quality datasets that support analytics, reporting, and broader business decision-making.


Requirements


  • Several years of relevant experience, whether gained in software engineering or data engineering.

  • Hands-on experience building data pipelines and data models.

  • Strong SQL skills and programming experience with Python or another language such as Scala, Java, or JavaScript.

  • Understanding of data services in at least one cloud environment: Azure, AWS, or GCP.

  • Solid Git and CI/CD fundamentals.

  • Familiarity with modern data platforms and fluent written and spoken Finnish, in addition to English.


Nice to have


  • Experience with Snowflake, dbt, Databricks, or Microsoft data-platform technologies.

  • Understanding of data lakehouse architecture or traditional data warehousing.

  • Awareness of DataOps, data quality management, business intelligence, or visualization tools such as Power BI or Omni.

  • Experience delivering end-to-end solutions on Databricks, especially alongside Snowflake and dbt.


Benefits and work setup


  • Permanent remote work within Finland; relocation support is not provided.

  • Salary range of €4,500–€5,500 per month.

  • Flexible working, healthcare including dental and mental health services, equipment choice, training, and a customizable benefits budget.

  • Additional support may include wellbeing time, travel insurance, childcare assistance, and lunch, transport, sports, culture, or home-office benefits.

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