Remote Data Engineer Jobs in Estonia (79)

Data Engineer (Apache Spark)

Design and operate high-volume analytical data systems end to end using Apache Spark. Build and maintain high-scale batch and near-real-time data pipelines on self-managed infrastructure.

Senior Data Engineer - Web Scraping

Design, implement, and maintain web scrapers to collect alternative datasets while performing data cleaning and transformation. Collaborate with cross-functional teams to build efficient data processing workflows and maintain alerting systems for data integrity.

Senior Data Engineer - Azure 21 applicants

Design, build, and maintain scalable data pipelines while leveraging tools like Azure Data Factory and Databricks. Lead and mentor engineering teams while collaborating with cross-functional stakeholders to deliver comprehensive data solutions.

Data Engineer (Marketing Systems) 17 applicants

The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.

AI Engineer (Data Guardrails & LLM Ingestion Pipelines) 14 applicants

Design and build scalable data ingestion, cleaning, and LLM enhancement pipelines to power AI applications. Implement AI guardrails and RAG architectures to ensure the accuracy and reliability of AI-ready datasets.

Intermediate Data Engineer with Power BI Skills

Design and maintain scalable data pipelines using Databricks to support HR and People Analytics. Develop interactive Power BI dashboards and optimize data models to provide actionable workforce insights.

Senior Mechanical Engineer - Data Centers

The Senior Mechanical Engineer will design solutions and perform calculations for large technology companies and mission-critical clients. Responsibilities include writing technical reports, preparing documents, and coordinating with internal teams and clients.

Data Engineer – AI-Driven Data Platforms

Build and scale data platforms for AI-driven analytics using high-volume sensor, satellite, and third-party data. Own end-to-end data pipelines from real-time ingestion to analytics while ensuring data quality and performance.

Senior Data Engineer – Data Quality & Observability | Remote 1789

Lead the implementation of a scalable data quality and observability framework using GX Core to detect and prevent data issues. Design automated validation checks, maintain data lineage, and integrate quality validations into CI/CD pipelines.

Senior Data Engineer (Dataiku DSS) 11 applicants

Design, develop, and deploy scalable data pipelines and ETL/ELT processes using the Dataiku DSS platform. Support a large-scale enterprise data lakehouse migration while collaborating with international business and technical stakeholders.

Senior Data Engineer

Architect and maintain the data model, pipelines, and access layers to support healthcare operations and analytics. Lead technical engineering best practices and ensure data quality and governance across the platform.

Data Engineer (Snowflake & DBT)

Design and optimize robust data pipelines and scalable warehousing architectures using Snowflake and dbt. Collaborate with stakeholders to transform raw data into actionable models for manufacturing and supply chain workflows.

Azure Data Engineer / Datawarehouse Developer / BI Developer

Develop and maintain the Enterprise Data Warehouse and standard dashboards for a Global Business Intelligence Team. Provide data support for business self-service and data analysis activities.

Senior Data Engineer

Design and maintain scalable ETL/ELT pipelines to extract and load data from sources like Oracle. Create and optimize data models in Snowflake and Redshift to support AI/ML solutions and business objectives.

Senior Data Engineer

Design, develop, and deploy bots using Automation Anywhere A360 and Excel VBA macros. Collaborate with stakeholders to identify automation opportunities and maintain documentation such as PDDs and SDDs.

Sr. GCP Data Engineer (Job-ID 3301)

Design and maintain scalable batch and real-time data pipelines on GCP using Medallion Architecture. Develop high-performance data transformations and optimize complex SQL queries for large-scale analytical workloads.

Sr Software Engineer, Data Science

Design, develop, and optimize AI/ML models and pipelines to power cybersecurity behavioral detectors. Collaborate with cross-functional teams to integrate these features into a scalable, fault-resilient platform.

BMS Design Engineer - Data Center 48 applicants

Design instrumentation and control systems for data centers, including conceptual designs, detailed site designs, and retrofits. Coordinate with multidisciplinary teams and vendors to ensure Building Management Systems are properly designed and constructed.

Software Engineer (Data Platform) 11 applicants

Architect and maintain scalable data platform infrastructure and optimize analytic query engines. Collaborate with data teams to implement robust data management solutions and observability frameworks.

Senior Data Engineer

Design and optimize complex SQL Server solutions with a focus on performance tuning and data modeling. Automate processes using PowerShell and integrate systems via APIs and LLM-driven workflows.

Senior Data Engineer 28 applicants

Build and maintain resilient streaming and batch data pipelines to ingest, normalize, and distribute market and trading data. Develop self-serve tooling and data governance frameworks to ensure high-quality, observable, and performant data products across the organization.

Senior Structural Engineer - Data Center

The Senior Structural Engineer will independently manage engineering and project management tasks for small to medium-sized projects from start to finish, including processing design calculations and developing project scopes and schedules. Responsibilities also involve producing structural construction drawings and specifications, and coordinating efforts with other internal teams and clients.

Senior Data Engineer - Bees Personalization

The role involves leading the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools used across BEES. This includes designing efficient data models and implementing architectural improvements to enhance performance, monitoring, and evolution of data products.

Data Platform Engineer

Design, deploy, and operate scalable data platforms using cloud-native technologies and automation. Collaborate with cross-functional teams to ensure system resilience, performance, and cost efficiency through SRE and DevOps practices.

Software Engineer, AI Data - Prague, Czech Republic

You will build and optimize large-scale data pipelines to support AI model training and next-generation product development. You will collaborate with AI scientists to discover new data sources and ensure the scalability and quality of training datasets.

Software Engineer, AI Data

You will build and optimize large-scale data pipelines to support AI model training and next-generation product development. This involves discovering new audio data sources and collaborating with AI scientists to improve data quality and system scalability.

Software Engineer, AI Data - Brno, Czech Republic

You will build and optimize large-scale data pipelines to support AI model training and next-generation product development. You will also collaborate with AI scientists to discover new data sources and ensure high-quality, scalable data processing.

Sr. Software Engineer, External Data Integrations

Design, develop, test, document, and support secure external integrations, including APIs, file-based interfaces, ETL processes, and Snowflake data products. Lead technical delivery and provide production support, stakeholder coordination, code reviews, and mentorship for integration initiatives.

Senior Data Platform Engineer

Senior Data Infrastructure Engineer (Scraping & Scale)

You will build and maintain a core ingestion engine capable of overcoming complex platform defenses to deliver large-scale data. This involves designing distributed pipelines, managing storage environments, and implementing automated monitoring for evasion recovery.