SENIOR DATA ENGINEER

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. #J-18808-Ljbffr Recordly Oy