Data Engineer
Build and maintain automated ETL pipelines to integrate marketing platforms and CRMs into a central database. Develop and manage data dashboards while automating recurring business reports and analyzing performance metrics.
Remote Data Engineer Jobs in Ukraine (89)
Data Engineer
The Data Engineer designs, builds, and maintains scalable data infrastructure and ETL pipelines to support digital marketing strategies. They ensure data integrity and quality while collaborating with cross-functional teams to prepare data for dashboards and reporting.
Data Engineer 16 applicants
Design, build, and maintain scalable batch and streaming data pipelines, transforming data from diverse sources into governed, analytics-ready datasets and reusable data services. Collaborate with clients, analysts, data scientists, and architects to ensure data quality, security, governance, performance, and clear technical documentation.
DATA ENGINEER
The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to integrate multiple data sources. They will also ensure data quality and collaborate with cross-functional teams to support analytics and data-driven decision-making.
Data Engineer
Design, develop, and optimize scalable data pipelines using Azure Data Factory and other cloud-native services. Implement secure data migration strategies, including encryption and masking, while ensuring reliable performance across Azure environments.
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Data Engineer
You will design, develop, and maintain scalable data pipelines and ETL/ELT processes while modernizing legacy infrastructure. Additionally, you will collaborate with the analytics team to deliver effective data solutions and ensure the reliability and performance of the data platform.
Data Engineer
The role involves developing and maintaining ETL/ELT pipelines for analytical reporting and supporting attribution models. Additionally, the engineer will ensure data quality, perform query optimization in Redshift, and provide stakeholder support for BI platforms.
Data Engineer 26 applicants
The Data Engineer will design, optimize, and own data pipelines that scrape, process, and ingest transaction and listing data. They will also build monitoring systems to track data metrics and continuously improve the data infrastructure.
Senior Data Engineer
Design, build, and manage scalable multi-cloud data platforms while developing real-time and batch data pipelines. Ensure high standards of data reliability, security, and governance while mentoring engineering team members.
1184 - Senior Data Engineer
Design, build, and maintain data pipelines and analytics solutions using Databricks and Python. Collaborate with IT teams to implement data governance standards and support Power BI reporting.
Senior Data Engineer
Own and develop the company’s analytics infrastructure, including data collection, ETL/ELT pipelines, orchestration, backfills, monitoring, and integrations with marketing, billing, product, and internal data sources. Build and maintain dbt models, implement data quality controls, and document data sources, models, and business logic for analytics teams.
Senior Data Engineer (Snowflake)
You will design, develop, and optimize data models and transformation workflows using Snowflake and dbt while modernizing legacy Oracle-based ETL processes. Additionally, you will contribute to architectural decisions and collaborate directly with client stakeholders to implement scalable data solutions.
Senior Data Engineer
You will design and scale robust data architecture to support analytics, experimentation, and decision-making across the company. You will also lead data quality initiatives and collaborate with cross-functional teams to build scalable data systems.
Senior Data Engineer
Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows. Manage the platform end-to-end, including architecture, ingestion, production operations, and data transformation using dbt.
1873 Sr Data Engineer – IBM DB2
Design, develop, and maintain batch and event-driven data pipelines while optimizing IBM DB2 database performance. Collaborate with cross-functional teams to integrate legacy systems with modern cloud platforms and ensure data reliability.
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Data Engineer | Honeytech
Build, monitor, and optimize ETL/ELT pipelines; connect data sources and extract and prepare advertising-platform data for analytics. Develop and maintain data marts, optimize data warehouse costs, and ensure data quality and reliability in collaboration with analysts.
Senior Data Engineer
The Senior Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines while managing AWS workflows and orchestration tools. Additionally, the role involves leading a small team, collaborating with cross-functional stakeholders, and implementing AI-driven automation for engineering tasks.
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Senior Data Engineer (Python/Spark/Azure / MS Fabric)
The Senior Data Engineer will design, optimize, and operate large-scale Spark workloads on Microsoft Fabric or Databricks. They will also develop reusable Python libraries and Spark modules to standardize ingestion, governance, and optimization patterns across teams.
Data Engineer ID89384
Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL. Build and operationalize agentic workflows to automate data engineering and operational processes such as validation and troubleshooting.
FinOps Engineer (Data)
Identify and deliver measurable cloud cost savings across AWS and GCP, and build reliable billing and usage data pipelines, models, and marts. Develop cost attribution, forecasting, anomaly detection, reporting, and automated governance tools while partnering with Engineering, Finance, and Product.
Staff Data Engineer
You will design and optimize scalable data architectures, pipelines, and governance frameworks to support enterprise-grade AI/ML systems. Additionally, you will provide technical leadership, mentor junior engineers, and collaborate with cross-functional teams to drive data platform modernization.
Sr. Data Engineer (Remote)
You will architect and lead the development of large-scale data pipelines and streaming systems to process billions of daily events. Additionally, you will own production data systems, ensuring high uptime, reliability, and scalability while collaborating with cross-functional teams.
Senior Data Engineer
Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-native data solutions using Python, PySpark, and Snowflake. Collaborate with cross-functional teams to optimize data performance, ensure data quality, and implement robust data governance practices.
AI Data Engineer (ML Data Pipelines)
Design and build scalable data pipelines to support machine learning workflows, including feature engineering and real-time data ingestion. Collaborate with cross-functional teams to ensure data quality, monitoring, and efficient model deployment.
Cloud Data Engineer (Snowflake/Databricks) – Remote
Design and build scalable data pipelines while optimizing transformation workflows in Snowflake or Databricks. Collaborate with cross-functional teams to ensure high-quality, performant, and secure data systems for analytics and reporting.
Data Engineer (Contract, Remote)
The roles involve designing, building, and maintaining scalable data pipelines, cloud infrastructure, and analytical dashboards to support business decision-making. Responsibilities also include ensuring data quality, automating infrastructure, and collaborating across technical and business teams.
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Staff Full-Stack Engineer - Data Intensive Web-Applications - Personalization
You will build and operate the backend of a Web Analytics and AI portal, owning features from design to production. This includes managing APIs, data layers, authentication, and ensuring system reliability through observability and performance optimization.
Senior Data Engineer - SAP HANA Cloud & Graph
Design, build, and optimize complex data models and graph structures within SAP HANA Cloud to support enterprise-level applications. Collaborate with machine learning and search engineering teams to ensure efficient data pipelines and high-performance query execution.
Senior Data Engineer
Lead complex data engineering projects, designing and maintaining scalable data architectures, pipelines, warehouses, and infrastructure while ensuring data quality, security, performance, and alignment with business outcomes. Collaborate across teams, recommend appropriate tools and technologies, and mentor engineers and client teams.
Data Engineer – Cybersecurity, GRC & AI
Develop and maintain scalable data pipelines and models to support cybersecurity, GRC, and AI-assisted workflows. Collaborate with cross-functional teams to ensure data reliability, audit readiness, and effective integration with enterprise platforms.
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