Top Data Engineer Jobs in Poland

The Senior AI Data Engineer will lead the development of data infrastructure for AI projects, ensuring scalable data pipelines and governance, while collaborating with the AI team to optimize performance and facilitate AI training and operations.

Own and evolve Enode's data platform and pipelines to support the Flex product: build reliable datasets, ensure data quality and monitoring, enable self-serve analytics, and partner with data science on feature pipelines and model readiness. Drive pragmatic platform improvements, documentation, and tooling to scale data reliability and trust across delivery, billing, and reporting.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Design and maintain scalable data pipelines and platforms, lead migration from Snowflake to client service, propose improvements, drive initiatives, and collaborate with senior engineers, product/project managers, and data analysts.

The Data Engineer will design, build, and maintain scalable data pipelines, develop ETL workflows using Python and SQL, and optimize data processes to ensure reliability and performance.

Join a team building GenAI and agentic AI tools for enterprise clients. Build GenAI apps, design RAG and agentic workflows, evaluate model outputs, and deploy solutions to cloud environments while collaborating with senior engineers and consultants.

Design and develop process mining models and analytics to answer stakeholder questions. Build BI dashboards, programmatic solutions and automated workflows to deliver process insights and proactive interventions, leveraging AI/ML where appropriate. Collaborate with non-technical stakeholders to translate complex data into actionable improvements.

Design and build large-scale data ingestion, transformation pipelines, high-performance APIs, and stream consumers. Improve data quality, model operational and analytical data, maintain infrastructure-as-code, support CI/CD and test automation, document systems, and mentor junior engineers. Collaborate across engineering, infrastructure, and analytics teams to evolve a proprietary data platform toward a data mesh across Azure and AWS.

Build and maintain ETL/ELT pipelines, write SQL and support data modelling, implement data quality checks (SQL, dbt, Python), embed automated testing into pipelines and CI/CD, and collaborate with analysts, engineers, and business teams to improve data quality and testing processes.

The role involves creating commerce intelligence solutions using AI to enhance decision-making processes in a digital commerce environment.

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

Lead architecture and platform engineering for SAP Business Data Cloud/Datasphere migrations, design CI/CD and lifecycle automation, govern Datasphere Spaces, enable Zero-Copy integrations with Snowflake and SAC, embed GxP/ICFR compliance, enforce metadata and IAM controls, and collaborate with data, security, and business teams to operationalize a scalable ERP data platform.

Lead Data Engineer to own and evolve an AWS-native data platform powering underwriting intelligence and GenAI. Build scalable ingestion, transformation, storage, and serving layers using Python and .NET, Aurora PostgreSQL and OpenSearch. Define data architecture, enforce data quality and observability (CloudWatch, Splunk), support LangGraph-based RAG and LLM workflows, drive architecture and deployment decisions, mentor engineers, and collaborate with product and AI teams to deliver reliable, production-grade data systems.

Lead technical solution architecture and application engineering for data center automation using robotics and partner technologies. Support presales, shape proposals, drive system integration, and ensure smooth transition from concept to execution. Capture feedback to improve standardized solutions and contribute to next-generation, AI-enabled automation concepts.

Design and build high-volume batch and streaming data ingestion and curation platforms on AWS and GCP. Lead architecture discussions, mentor junior engineers, troubleshoot ETL/data quality and backfills, and deliver production services with monitoring, CI/CD, and tight SLAs while collaborating with cross-functional teams.

Design and provision AWS lakehouse foundations, implement tenant-isolation security and ingestion pipelines, build Terraform IaC and GitHub Actions CI/CD, orchestrate workflows with Airflow/Astronomer, ensure data lineage/observability and cost governance, and collaborate with architects and engineers while transferring knowledge to client teams.

Owner of all PostgreSQL databases underpinning a multi-site telecom platform. Responsibilities include DB installation, HA, backup/restore, performance tuning, large-scale bulk loads/migrations, multi-datacenter replication, data governance (retention, masking, archival), monitoring (Prometheus/Grafana), automation scripting, and cross-platform integration with network-element databases.

As a Senior Data Engineer, you'll design and operate data pipelines on GCP, ensuring data quality, mentoring junior engineers, and supporting AI initiatives.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Analyze user behavior on websites and apps, focusing on KPIs and data visualization. Build dashboards, run A/B tests, and communicate findings to stakeholders.