DATA ENGINEER
Build and maintain scalable data pipelines, platforms, and models to create tangible business value for customers. Translate business requirements into actionable technical tasks within modern cloud ecosystems.
18 Data Engineer jobs in Finland available for remote work from home. Apply for positions such as DATA ENGINEER, Senior Data Engineer, Analytics, Data Engineer with strong Python Spark and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Build and maintain scalable data pipelines, platforms, and models to create tangible business value for customers. Translate business requirements into actionable technical tasks within modern cloud ecosystems.
The Senior Data Engineer will lead the end-to-end delivery of reliable, scalable data pipelines and provide advanced platform support for analytics and reporting. They are responsible for establishing engineering standards, ensuring pipeline reliability, and optimizing platform performance and cost efficiency.
Design, build, and operate scalable batch and streaming data pipelines using Python, PySpark, and Azure Databricks. Manage data architecture, orchestration, and CI/CD processes while ensuring high data quality and performance.
You will design and evolve scalable, cloud-native data architectures on AWS while providing technical leadership to engineering teams. Additionally, you will collaborate on AI-ready data platforms and establish best practices for data quality, governance, and performance.
Design, build, and maintain scalable data ingestion pipelines using AWS Glue to move data into Amazon S3. Ensure data integrity, manage medallion architecture layers, and optimize pipeline performance and costs.
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Lead and review the electrical design of hyperscale and mission-critical data centres across all project phases while managing multidisciplinary external consultants. Oversee utility coordination, permitting, and integrated systems testing to ensure project delivery meets design intent and operational requirements.
You will own the end-to-end data ecosystem, including building reliable ETL/ELT pipelines and modeling data in dbt. Additionally, you will partner with stakeholders to define business metrics and implement observability for analytics pipelines.
You will own the technical delivery and platform reliability of cloud-native data environments on AWS and Azure for managed services clients. This involves building infrastructure-as-code, maintaining CI/CD pipelines, and collaborating with stakeholders to implement scalable, well-governed solutions.
The role focuses on building, maintaining, and optimizing scalable data pipelines and architectures to power business-critical analytics. It involves collaborating with Data Science and Ops teams to ensure data quality and enable self-service analytics.
Design and implement complex data solutions, architectures, and scalable pipelines for customers. Translate business requirements into technical tasks to help organizations capitalize on data and AI opportunities.
Build and scale robust data solutions and high-performance pipelines for extraction, loading, and transformation. Collaborate with stakeholders to transform business use cases into production-ready services while ensuring data quality through rigorous testing.
Develop technical enablement content such as white papers, labs, and presentations to support product positioning and field teams. Design and maintain product demonstrations that showcase technical capabilities and business outcomes for Apstra.
Own the reliability and correctness of core data products by managing end-to-end releases and building quality monitoring systems. Partner with commercial teams to design data solutions and perform root cause analysis on data anomalies.
Own and manage all databases underpinning the BSS/OSS/NOC platform, including PostgreSQL clusters and network control layer interfaces. Design and implement bulk data pipelines, disaster recovery frameworks, and data governance policies for compliance and retention.
Design, implement, and maintain software applications using Clojure or ClojureScript while collaborating with cross-functional teams. Build and optimize web applications, database queries, and RESTful APIs to ensure high performance and scalability.
The Data Privacy & Compliance Engineer will configure and manage OneTrust modules for data discovery, governance, and privacy automation. They will also define data policies, enforce controls across cloud platforms, and manage incident response and regulatory compliance workflows.
Develop comprehensive fire protection design solutions for data centers, including detection and suppression systems. Responsible for creating construction drawings, bills of quantities, and providing on-site technical guidance for project delivery.
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This is a talent community pool for future Data and AI engineering opportunities rather than an active job opening. Professionals in this community will be considered for roles involving data platform development, analytics, and AI system implementation when they align with client needs.
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