Tech jobs
Job listings
Platform Engineer, SAP Datasphere & Data Mesh Architect
Designs and modernizes SAP BW/4HANA and BDC solutions, leading data architecture for ERP platforms with SQL and cloud infrastructure.
Cloud Data & AI/ML Solutions Engineer
Engineer troubleshooting cloud data and AI/ML issues for Google Cloud customers, analyzing systems with SQL/Python and proposing code-level fixes to improve support and self-service tools.
Platform Engineer, ERP Data Platform — Remote & Flexible
Lead the technical strategy for a BDC ecosystem and modernize SAP BW/4HANA to SAP Datasphere, focusing on data architecture and cloud infrastructure.
Platform Engineer - ERP Data Platform
Designs and maintains SAP Datasphere’s cloud-native data platform, migrating legacy SAP BW/4HANA systems and integrating with Snowflake and SAP Analytics Cloud.
Platform Engineer - ERP Data Platform
Design and run Roche’s SAP Datasphere platform, migrating legacy SAP BW/4HANA systems to cloud-native BDC while enforcing security, compliance, and CI/CD for data products.
Cloud Technical Solutions Engineer, Data AI/ML
You troubleshoot cloud tech issues for Google Cloud customers, analyze data with Python/SQL, and suggest code fixes for complex bugs to improve support and self-service tools.
Data Platform Engineer - Gdańsk
Build and maintain Arla’s enterprise-grade data platform using Azure Databricks, PySpark, and IaC; design pipelines, automate CI/CD, and ensure observability and security across the stack.
Data Engineer with AI focus for AFI Analytics - Gdańsk
Build and maintain cloud-based data pipelines and AI/ML infrastructure in Microsoft Azure to enable advanced analytics and data-driven decision-making across Arla Foods Ingredients Analytics.
SAP BW / BDC Developer (Data Engineer - SAP Data & BI) (m/f/d)
Build and maintain SAP BW/4HANA data models and pipelines, integrate SAP and non-SAP sources, and deliver BI reports for a global IT distributor.
Senior Data Engineer (Data, Analytics & AI) @ AVENGA (Agencja Pracy, nr KRAZ: 8448)
Design and maintain scalable data pipelines, transform datasets into trusted products, and build APIs in a cloud environment using Snowflake, Python, Airflow, and AWS.
Lead Data Engineer / DataOps – Snowflake & AWS Data Platform @ Square One Resources
Lead a team building and automating Snowflake and AWS S3-based data products, orchestrating pipelines with GitLab CI/CD and Python while ensuring data quality and engineering standards.
Senior Data Engineer - Full remote (F/M)
Senior Data Engineer builds and maintains Snowflake-based ETL/ELT pipelines, data models, and REST APIs to consolidate finance data for forecasting and reporting in a regulated biotech environment.
SNP Glue Data Engineer: SAP to Snowflake (Remote)
Builds and maintains data pipelines to migrate SAP data into Snowflake using SNP Glue, ensuring data quality and integration for a global tech client.
Senior Data Engineering Manager - T&T
Lead a team to design and maintain scalable Azure-based data pipelines and models that feed McCormick’s AI systems, using Databricks, Synapse, and PySpark.
Senior Data Engineering Manager - T&T
Lead a team to design and maintain scalable Azure-based data pipelines and models that feed McCormick’s AI systems, using Databricks, Synapse, and PySpark.
Senior Data Engineer On-Premises Data Platforms @ Jacobs
Design, build, and maintain enterprise-scale data pipelines in on-premises and hybrid environments, integrating data from databases, legacy systems, and APIs using SQL, Python, Spark, and ETL/ELT tools.
AI-Driven Process Reinvention Data Engineer
Design and implement AI-driven process reinvention solutions for clients using frameworks like crewAI and LangGraph, integrating data pipelines and process automation tools.
Senior Data Engineer On-Premises Data Platforms
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Senior Data Engineer On-Premises Data Platforms
Design and maintain enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.